• Min 8 years of experience.
• At least 8 years of data-related working experience, with at least 5 years of hands-on experience in data management and data analytics in the finance, investment, banking, and asset management industries.
• Good understanding of the principles, key controls and processes relating to data management.
• Good at working with details and is meticulous in operations and tasks.
• Good understanding of data modelling.
• Good understanding on OLTP, Data Lake, Lakehouse technologies that may include knowledge of Snowflake, S3, AWS Glue, DeltaLake, DataBricks.
• Good understanding of CI/CD pipelines, DevOps, DataOps, and their applicability in financial services.
• Experience in working with databases using database technologies (e.g. MS SQL, Snowflake, Redshift and PostgreSQL) and data integration products (e.g. Informatica, Data Factory, Bash).
• Extensive data-related experience in programming languages eg Python, SQL, Scala, Javascript, and similar.
• Experience in working with business intelligence and data visualization tools e.g. Tableau, PowerBI.
• Experience with SDLC methodology and/or agile methodologies like Scrum and Kanban and its related applications eg Confluence and JIRA.
• Good team player, with strong analytical skills and enjoys complex problem solving.
• Experience in data engineering platforms and virtualization eg Denodo, Jupyter, O365.
• Excellent written and spoken English and strong presentation skillsets.
• Strong inter-personal and people leadership skills to interact with diverse stakeholders.

Responsibilities:

• Working closely with data analysts and business end-users to implement and support data platforms using best-of-breed technology and methodology.
• Implement and design robust and scalable solutions to meet business needs and take operational considerations into account. Demonstrate technical expertise in the assigned areas.
• Manage operations and maintain SLAs. Implement automation in data management. Collaborate with data engineering, architecture, and governance.
• Perform data and metadata quality, modeling, lineage, cleansing, onboarding, registration, discoverability, access controls, migration, optimization, and cataloging. Execute, maintain and manage the whole data lifecycle.
• Conduct requirement workshops with stakeholders, analyze and translate business and other requirements holistically into data strategies, plans, and actions.
• Cover all aspects of data distribution and data service.
• Design and implement scalable data pipelines and data service modules with robustness in mind to support the growing demands from business users.
• Analyze and resolve day-to-day operational incidents and advisory to business users.
• Listen to upstream changes, perform impact analysis and mitigate-modify-implement.
• Do impact analysis, inform and distribute to downstream users and applications.
• Analyze systems operations data (SLAs, customer satisfaction, delivery quality, team efficiency etc.) to identify actionable trends for continual improvements.
• Data, application, and system checking and testing (eg UAT), CICD and go-live.

Our client, a global leader in real estate and workplace management solutions, is seeking a skilled Data Center Operations Technician to support the daily operations of their data centers and critical facilities.

This role involves troubleshooting, coordinating vendor/contractor activities, and ensuring seamless operation and maintenance of infrastructure systems. If you are successful in this role, you will enjoy the following:
- Competitive salary and benefits package
- Opportunity to work in a renowned real estate firm globally
- Collaborative and dynamic work environment
- Professional development and growth opportunities


Key Responsibilities:
- Lead and manage contractors/vendors in daily data center operations.
- Monitor and inspect infrastructure systems, facilities, and environmental controls.
- Handle system alerts, incident management, and escalations for downtime.
- Oversee service desk operations and ensure adherence to safety practices.
- Liaise with stakeholders on utilities, building services, and system issues.
- Assist in disaster recovery planning and execution.
- Maintain and update records, permits, and asset databases as per CMMS requirements.
- Review operations periodically, report gaps, and prepare monthly updates.Key Requirements:
- Diploma in Computer Science or a related field.
- Relevant certifications such as Certified Data Centre Professional.
- At least 3 years of experience in data center operations, facilities monitoring, and management.
- Knowledge of data center facilities, including CRAC, fire suppression systems, water detection systems, and UPS.
- Familiarity with service desk operations and incident management processes.
- Basic understanding of MEP (Mechanical, Electrical, Plumbing) systems.


If you believe that you fit the requirements of this opportunity and this opportunity will contribute to your career aspirations, apply now via [email protected]!

Reg No: R22110957

EA License No: 20S0075

What do we do?

Join the ride at SWAT Mobility - If you're up for a challenge with one of the most exciting startups in the field of Smart Mobility, Transit and Logistics Technology!

SWAT is a high-tech mobility company that focuses on dynamic, on-demand, ride-sharing technology. With our world-class routing platform, we have deployed our solutions for governments in Singapore, Japan and Australia. Having deployed in 8 countries, we also look at solving multiple mobility challenges including optimizing employee transport for large corporations, reimagining public transport, creating data driven intelligent transport planning and introducing high tech logistics solutions to bring higher convenience, better visibility and reduced cost to our customers.

We are on a mission to empower the world to move more with less.

SWAT is looking for a Business & Data Analyst to join the Analytics Team. The ideal candidate is someone who is able to think critically, is a self-starter, and comfortable with open ended problem solving. We value effective communicators with a positive work attitude that are motivated by the desire to learn, achieve and contribute.

Responsibilities

• Partner with sales and operations teams in developing pre-sales solutions, analyzing client data and validating solutions with our in-house simulation engine.
• Support analytics services delivering large-scale analytics consulting projects.
• Design and implement operational dashboards and queries for internal/external stakeholders to assist in pattern, trend and business insights identification.
• Write scripts to automate reports workflows and processing of large datasets.

Desired Skills

• Advanced Python knowledge
• Basic to intermediate SQL knowledge
• Ability to work with large amounts of data to discover patterns and trends and form conclusions based on findings. Must be extremely detail oriented.
• Ability to create beautiful, structured presentation decks
• Excellent analytical, communication and problem-solving skills
• Exposure to one or more dashboarding platforms (Tableau/PowerBI/Metabase)
• Knowledge of Geographical Information Systems (GIS) tools would be a bonus
• Experience in the transportation sector would be a bonus

Qualifications

• Minimum of 3 years experience in a Data Analytics role.
• Bachelor’s Degree or higher from a recognised university, preferably in a quantitative subject.
• If you are not from a quantitative subject you are still more than welcome to apply, so long as you are able to meet the technical skill requirements specified above.

We are looking for a strong data scientist / engineer to join our team for an ongoing project we have. You will be responsible for :

• Testing and deployment of codes/jobs in Production
• Automating the jobs deployed.
• Work with team to create project documentations such as Operation Manual, Training Manuals, and others in preparation for System Commissioning.
• knowledge and hands on experience of AWS GCC native services such as AWS Glue, AWS Step Function, AWS Sagemaker, etc. on GCC or commercial Cloud.
• Python and pyspark experience is a must

Within the family there is a range of technical and managerial customer on-site functions. The family of jobs is focused on managing the onsite delivering of software services, pre-sales, post-sales or service delivery support, installation and configuration for customer environments. The jobs solve various business systems, networking and applications problems for standard industry servers, specialized or complex clustered environments. Deliver reactive and proactive activities according to Service Level Agreement to ensure customer satisfaction and loyalty. Provides direct post-sales systems on site technical support for reactive and proactive customers. Each position maintains a high level of customer satisfaction by ensuring clear business and technical solution alignment, clarifying customer needs and ensuring that they are met. Jobs are responsible for company Total Customer Experience as well as the revenue growth, profitability, and account retention.

Management Level Definition:

Unique mastery and recognized authority on relevant subject matter knowledge including technologies, theories and techniques. Contributes to the development of innovative principles and ideas. Successfully operates in the most complex disciplines, in which the company must operate to be successful. Provides highly innovative solutions. Leads large, cross-division functional teams or projects that affect the organization's long-term goals and objectives. May participate in cross-division, multi-function teams. Provides mentoring and guidance to lower level employees. Routinely exercises independent judgment in developing methods, techniques and criteria for achieving objectives. Develops strategy and sets functional policy and direction. Acts as a functional manager within area of expertise but does not manage other employees as a primary job function.

Responsibilities:

• Apply deep and broad technical background and knowledge of industry trends to operate critical or high-risk technology areas/customer groups.
• Integrate technical knowledge and business understanding to create solutions for customers.
• Mentor/consult with team members, other organizations, customers, and vendors on the most complex issues.
• Resolve technical and business incidents independently. Mentor/assist less-experienced team members on complex incidents
• Provide expert consulting on a specific technology, application, service offering or market segment.
• Deliver strategic account support through proactively maintaining high-level technical, operational expertise and understanding of industry trends.
• Anticipate, understand, and position the perception of system problems and deliver service needs at different management and functional levels.
• Lead Mission Critical delivery team in planning, delivering, and managing complex support Design, deliver, and manage delivery of industry specific solutions.
• Maintain high-level expertise in area of focus and stay abreast of future technology directions
• Create and deliver Value Based Delivery (VBD) plans for assigned accounts.
• Lead Customer Expectation management as part of escalation process.
• Consult with executive customer management to achieve IT operations excellence.
• Contribute to tasks outside normal Mission Critical Support Specialist/Mission Critical account support or geographic (district or country) scope.
• Analyze the customer's business, organization, and information systems needs.
• Develop and grow assigned customer account relationships with complex and strategic accounts.
• Act as trusted advisor in the consultant role for customer and the company's sales teams.
• Anticipate, understand, and position the perception of system problems and deliver service needs at different management and functional levels.
• Lead Mission Critical delivery team in planning, delivering, and managing complex support Design, deliver, and manage delivery of industry specific solutions.
• Maintain high-level expertise in area of focus and stay abreast of future technology directions.
• Create and deliver Value Based Delivery (VBD) plans for assigned accounts.
• Lead Customer Expectation management as part of escalation process.
• Consult with executive customer management to achieve IT operations excellence.
• Contribute to tasks outside normal Mission Critical Support Specialist/Mission Critical account support or geographic (district or country) scope.

Education and Experience Required:

• Bachelor's degree preferred or Associate degree holder (technical field) with 8+years working experience in related fields desired.

Knowledge and Skills:

• In-depth knowledge of company and industry standard networked computing environments, operating systems, and applications.
• Broad knowledge of corporate policies, products, markets and processes, as well as an understanding of business management principles and practices.
• Thorough knowledge of company products and services offerings, company organization, competition, third party products and market trends.
• State-of-the-art technical, functional or business knowledge.
• Expert in one or more industry or advanced specialty areas.
• Anticipate Customer needs, develop proposed solutions, and build consensus with customer key decision makers.
• Capable of consulting with Customers for process design, development and implementation.
• Thorough understanding of change management process and procedures.
• Expert skills in project management, analysis, communication, presentation, innovation and negotiation .
• Delivery expertise in at least two or more specific specialty skills. Eg. (ITIL, performance, Change management).
• Mission Critical and ITIL certifications.
• Certified in a strategic business direction (e.g. SAN, SAP, OpenView, ITIL), certification tied to the company's key business strategies with associated revenue.

We are seeking a skilled Data Engineer to join our analytics team. The ideal candidate will design, build, and optimize data pipelines and architectures to support business needs, enabling efficient data analysis and decision-making.

• Working Hours: Mon-Fri
• Working Location: Central
• Salary Package: Up to $7k with AWS + VB

Responsibilities:

• Build and maintain data architectures, including databases, data warehouses, and large-scale processing systems.
• Design and implement data pipelines for modelling, mining, and production use.
• Ensure data architecture supports analytics and business requirements.
• Use programming tools to clean and prepare raw data for modelling.
• Improve data quality, reliability, and efficiency.
• Organize and catalog data for easy access and retrieval.
• Optimize SQL/PLSQL scripts and database performance.

Requirements:

• Minimum 3 years of experience in data architecture, data warehousing, ETL/ELT, and real-time streaming solutions.
• Proficiency in Kubernetes-based DevOps, container orchestration, CI/CD pipelines, and microservices deployment.
• Hands-on experience with Oracle SQL/PLSQL and AWS solutions like EC2, S3, EMR, Redshift, Athena, and Kinesis.
• Strong skills in Python, R, or SQL for data processing and aggregation.
• Familiarity with tools like Java, Hadoop, Apache Spark, Airflow, or Hive.
• Experience with data crawling, modelling, data lakes, and warehouse construction.
• Basic knowledge of Oracle database architecture.
• Knowledge of deploying machine learning models is a plus.

Join us to work on exciting projects and shape the future of data-driven solutions!

Apply now!

By submitting your resume, you consent to the collection, use, and disclosure of your personal information per ScienTec’s Privacy Policy (scientecconsulting.com/privacy-policy).

This authorizes us to:

• Contact you about potential opportunities.
• Delete personal data not required at this application stage.
• To withdraw consent, email [email protected].

All applications will be processed with strict confidence. Only shortlisted candidates will be contacted.

Elane Yap Theng Yu- R1989397

ScienTec Consulting Pte Ltd - 11C5781

Position Summary / Project Description

Data Engineer for cloud migration projects (Primarily utilizing AWS, IDMC, Databricks and Tableau)

Role and Responsibilities

• Develop ETL (Extract, Transform, Load) processes to cleanse, transform, and enrich data, making it suitable for analytical purposes using Databricks' Spark capabilities and Informatica IDMC for data transformation and quality.

• Monitor and optimize data processing and query performance in both AWS and Databricks environments, making necessary adjustments to meet performance and scalability requirements. Utilize Informatica IDMC for optimizing data workflows.

• Implement security best practices and data encryption methods to protect sensitive data in both AWS and Databricks, while ensuring compliance with data privacy regulations. Employ Informatica IDMC for data governance and compliance.

• Implement automation for routine tasks, such as data ingestion, transformation, and monitoring, using AWS services like AWS Step Functions, AWS Lambda, Databricks Jobs, and Informatica IDMC for workflow automation.

• Maintain clear and comprehensive documentation of data infrastructure, pipelines, and configurations in both AWS and Databricks environments, with metadata management facilitated by Informatica IDMC.

• Collaborate with cross-functional teams, including data scientists, analysts, and software engineers, to understand data requirements and deliver appropriate solutions across AWS, Databricks, and Informatica IDMC.

• Identify and resolve data-related issues and provide support to ensure data availability and integrity in both AWS, Databricks, and Informatica IDMC environments.

• Optimize AWS, Databricks, and Informatica resource usage to control costs while meeting performance and scalability requirements.

• Stay up-to-date with AWS, Databricks, Informatica IDMC services, and data engineering best practices to recommend and implement new technologies and techniques.

Requirements / Qualifications

• Bachelor’s or master’s degree in computer science, data engineering, or a related field.

• Minimum 4 years of experience in data engineering, with expertise in AWS services, Databricks, and/or Informatica IDMC.

• Proficiency in programming languages such as Python, Java, or Scala for building data pipelines.

• Evaluate potential technical solutions and make recommendations to resolve data issues especially on performance assessment for complex data transformations and long running data processes.

• Strong knowledge of SQL and NoSQL databases.

• Familiarity with data modeling and schema design.

• Excellent problem-solving and analytical skills.

• Strong communication and collaboration skills.

• AWS certifications, Databricks certifications, and Informatica certifications are a plus.

Job Highlights

Salary: $3450 per month

Contract Duration: 11 months

Working Location: Nearest to Labrador Park MRT

Working Hours: Monday to Friday, normal office hours

Job Descriptions

• Support the ongoing refreshments and improvements of training centres.
• Conduct regular checks of community hubs’ setup such as reporting on safety compliance, standardized set up, etc.
• Assist in coordinating hardware maintenance services for community hubs as required.
• Source goods and facilities management (FM) services for community hubs, such as furniture, maintenance services, etc.
• Coordinate and liaise with contractors to ensure timely delivery of goods and FM services
• Conduct regular checks on assets and collaterals, ensuring accuracy of records and proper maintenance.
• Maintain and update procurement, asset and collaterals records
• Maintain and update FM and logistics documentation

Job Requirements

• Only Singaporean need to apply.
• Degree in any relevant field
• Prior experience in Project Management is a plus!

Interested candidate please click ‘Apply Now’. We regret to inform that only shortlisted candidates will be contacted.

Yee Kar Seng

Outsourcing Team

BGC Group Pte. Ltd.

EA Registration No.: R22107286

EA License Number: 05C3053

My client is an established Architectural Consultant firm, seeking for Senior Architect with Data centre Experience

Job Description:

• Coordinate with clients, consultants, and contractors to ensure smooth project execution and timely delivery.
• Project management from start to handover, tender preparation and detailing
• Engage in team and project meetings to resolve project issues and coordinate to schedule adherence of technical issues
• Prepare detailed architectural drawings, specifications, and construction documents.
• Able to lead 2 to 3 junior architects in the same project.

Requirement:

• Bachelor’s degree in Architecture from a recognized university.
• Minimum of 5 years of relevant experience in architectural design and project management.
• Proficiency in AutoCAD, Revit, SketchUp, and other relevant design software. Strong knowledge of local building codes and regulations.
• Excellent communication and interpersonal skills, strong attention to detail, and the ability to work both independently and as part of a team.

Salary depends on experience and if the candidate is an AR. Salary range will varies by the year of experiences.

5 days, 9am-6pm, permanent, Eunos

Our client

Data Centre Builder

Job Scope

· To Perform onsite maintenance and servicing of Computer Room Air Conditioning/HVAC

·

· To troubleshoot, repair, service of computer room aircon /HVAC

· To Install, commissioning and testing of aircon System.

REQUIREMENT

· Min Nitec Diploma in Aircon/ Mechanical Engineering

· 2 years hands on experience to troubleshoot and repair of Computer Room aircon

· Able to perform rotating 24/7 on call standby (Extra allowance will be given) on 1st half or 2nd half of the month

· Singapore Class 2 or Class 3 licence.

Work location :Eunos

Whats on offer

(1) Attractive package

(2) Stable Management

(3) Dynamic work environment

Please submit resumes(in MS word document format) to [email protected] with the following details :

- Position applying for

- Current remuneration

- Expected remuneration

- Notice period

Michelle Goh

EA License No : 22C1142

We regret that only shortlisted candidates will be notified.

Job Description:

• Must be a Diploma/Bachelor's Degree holder.

• Hands-on implementation experience in building full-stack Restful web Applications.

• Experience in the following domain area/Technology/Programming languages

• Communication/Data Protocols: Modbus, OPC UA/AD, IEC 101/104, TCP/IP, SFTP, MQTT, AMQP

• Programming languages: JavaScript, Python, C/C++, SQL

• Experience in Linux, Docker, PostgreSQL, And Firewall management

• Experience in Code Management and Deployment

• Certified in Microsoft Technologies will be an added advantage

• Knowledge in Azure Devops, Azure IOT and Azure sphere will be an added advantage.

Roles and Responsibilities:

• The candidate will be responsible for designing and implementing data acquisition solutions and systems that meet the requirements of our clients.

• The successful candidate will be expected to have strong problem-solving skills and be able to troubleshoot and debug complex issues.

• The candidate will also be responsible for developing and maintaining documentation for solutions, including design specifications and test plans.

Company’s Profile

Our client, a security solutions provider has been established for more than 25 years, with a strong reputation in the industry. They specialize in delivering comprehensive turn-key security systems, from design and integration to maintenance and support and serve clients in government, trade and commercial sectors. They are now looking for Data Center Technicians to join their expanding team!

Location: Lakeside / Admiralty

Working hours: Monday to Friday, Office Hours

Responsibilities:

• Oversee building and data centre facilities: recording and reporting on the BMS / EMS / Fire D&P / Chiller / Electrical etc
• Administrator for preventative maintenance programs to ensure that equipment are properly serviced & maintained
• Maintain good documentation of facilities and / or equipment maintenance
• Prepare monthly SLA reports for equipment uptime, power usage & temperature readings
• Respond to emergency situation and be on 24x7 standby duty
• Prepared to be on 24x7 standby recall to provide extra manpower coverage when necessary
• Be involved in new data centre projects as well as renovation and maintenance to existing space
• Responsible to handle site inspections / audits by external authority (eg. HDB/LTA/NEA/FSB)
• Scheduling and tracking of servicing jobs and vendor management on a day to day basis
• Maintain high customer service level standards
• Managed all facilities contracts

Requirements:

• Min. Diploma in Building / Facility Management or any other related field
• Some relevant experience in Data Centre facility management and vendor management is a good bonus
• Good knowledge in building technology, mechanical and electrical services and facilities management

Your recruiter for this job: WhatsApp Celine @ 6421 4966 for a quicker response.

Connect with me on LinkedIn: www.linkedin.com/in/your-recruiter-celine-chan

Celine Chan | R21103433

Talentsis Pte Ltd | EA No: 20C0312

Process the day-to-day operations to:

• support document management, data maintenance
• meet agreed SLA, and Staff Efficiency & Productivity targets

Responsibilities

BAU

• perform document and data extraction
• prepare letter/email draft for sign off
• maintain registers
• liaise and follow up with business units

Administration

• ensure the smooth and efficient day-to-day operations
• perform general clerical functions (including data maintenance, filing documents)

Requirements

• a diploma in any field
• banking experience in similar capacity preferred
• AML knowledge is advantageous
• independent, able to work with minimum supervision
• detailed and meticulous

about company

I am currently working with a software consultancy firm that provides premium software development and strategy expertise to a wide spectrum of clients. Projects are about Gaming/Gambling/Blockchain.

Salary structure: Base + AWS + variable bonus. 2 rounds of interview process. Hybrid working arrangement. Office at CBD.

about job

• Develop, construct, test and maintain data architectures such as databases, data warehouses and large-scale data processing systems

• Design and develop data pipelines/systems for data modelling, mining and production

• Make raw data clean and highly available for use in descriptive and predictive modelling

• Recommend and implement ways to improve data quality, reliability, flexibility and efficiency

• Ensure data assets and data catalogs are organized and stored in an efficient way

• PL/SQL and SQL Tuning and optimization

skills and requirements

• Min 3 years in data architecture, data warehousing, data processing, data modelling and ETL/ELT, familiarity with real-time streaming solutions

• Experience in Kubernetes-based DevOps practices, with experience in container orchestration, CI/CD pipelines, and microservices deployment.

• Experience in database development (Oracle SQL/PLSQL)

• Working experience in AWS cloud environment, familiar with solutions such as EC2, S3, EMR, Redshift, Athena, Kinesis • Programming knowledge in Python, R, SQL for data cleaning, processing and aggregation

• Mandarin speaking required as you need to liaise with Chinese counterparts who can only speak and write in Mandarin

To apply online please use the 'apply' function, alternatively you may contact Stella at 96554170 (EA: 94C3609 /R1875382)

JOB SUMMARY

The Data Strategy & Reporting Manager will be responsible for creating & maintaining data pipelines, and the platforms that support said pipelines. He/She will be required to generate a strong understanding of data from a multitude of internal/external platforms, and create pipelines (automated, where possible) that support further downstream reporting/analysis.

CANDIDATE PROFILE

The experience, skills and knowledge and education/certification components of the Candidate Profile should be presented as preferences rather than requirements unless an individual would not be hired for the position without these. Equivalent work experience may be substituted for years of experience.

Experience

• Bachelor’s degree in a quantitative discipline (Computer Science, Economics, Statistics or relevant field)
• Hands on experience developing corporate reports, dashboards and reporting visualizations (2+ years)
• Experience in working with, developing, and maintaining data pipelines/databases (2+ years)
• Preferred: Experience in working with cloud services/platforms and APIs (2+ years)

Skills and Knowledge

Essential

• Expertise in data visualization and dashboard creation to support downstream business analysis in Microsoft Power BI
• Expertise in database query languages (i.e. SQL) and cloud/on-premise database management, ability to manage mid to large-sized corporate databases
• Expertise in Python or related programming languages to support advanced analytics
• Experience in consolidating and processing complex data sets (ETL/ELT, data validation techniques)
• Fluent in written and oral communication in English

Desirable

• Experience working with Snowflake cloud databases and SnowSQL
• Experience in statistical modeling and machine learning in Python or related programming languages
• Experience working with cloud services/platforms and APIs; HTML & Javascript a plus
• Experience in cloud computing platforms/services (i.e. Google Cloud, Microsoft Azure, etc.) preferred
• Experience working independently or as part of a team in Regional/Global projects
• Working knowledge/experience in Revenue Management/Sales/Marketing/Loyalty Programming domains or Travel & Hospitality industry

Others

• Able to analyze large volumes of complex information/data and present in a clear, concise and intuitive manner
• Able to work in fast-paced environment and adapt to changing business conditions/requirements quickly
• Able to work well independently or as part of a team, initiating and supporting business change
• Excellent interpersonal, as well as written and oral communication skills

CORE WORK ACTIVITIES

Leadership

• Adaptability – Develops strategies and identifies resources to implement and manage change; models flexibility in adjusting priorities; and communicates the need for change in a positive way that encourages commitment.
• Communication – Actively listens and uses appropriate communication styles to deliver complex information in a clear concise way and influences others to accept a point of view, gain consensus, or take action.
• Problem Solving and Decision Making – Models and sets expectations for solving complex problems, collecting and comparing information to evaluate alternatives, considering their potential impact before making decisions, involving others to gain agreement and support, and guiding others to implement solutions.
• Professional Demeanor – Exhibits behavioral styles that convey confidence and command respect from others; makes a good first impression and represents the company in alignment with its values.

Managing Execution

• Building and Contributing to Teams - Leads and participates as a member of a team to move the team toward the completion of common goals while fostering cohesion and collaboration among team members.
• Driving for Results - Focuses and guides others in accomplishing work objectives.
• Planning and Organizing - Gathers information and resources required to set a plan of action for self and/or others; prioritizes and arranges work requirements self and/or others to accomplish goals and ensure work is completed.

Technical Expertise

• Develop analytical approaches to support all key business processes throughout the year
• Provide support and help develop/maintain/update Continent and GLS tools and develop analysis to identify revenue opportunities
• Develop measurement techniques to evaluate the effectiveness of multiple initiatives
• Work closely with operations research and systems personnel in creating and developing decision support systems that will lead to enhanced revenues.
• Respond to requests from Revenue Management stakeholders and other Sales and Marketing stakeholders for data and analysis
• Special projects, including ad hoc requests for information, analysis and recommendations relative to Revenue Management initiatives

Building Relationships

• Coworker Relationships - Develops and uses collaborative relationships to facilitate the accomplishment of work goals.
• Customer Relationships - Develops and sustains relationships based on an understanding of customer needs and actions consistent with the company’s service standards.
• Global Mindset - Supports employees and business partners with diverse styles, abilities, motivations, and/or cultural perspectives; utilizes differences to drive innovation, engagement and enhance business results; and ensures employees are given the opportunity to contribute to their full potential.

Generating Talent and Organizational Capability

• Organizational Capability - Evaluates and adapts the structure of organizational units, jobs, and work processes to best fit the needs and/or support the goals of an organizational unit.
• Talent Management - Provides guidance and feedback to help individuals develop and strengthen skills and abilities needed to accomplish work objectives.

Learning and Applying Personal Expertise

• Applied Learning - Seeks and makes the most of learning opportunities to improve performance of self and/or others.
• Business Acumen - Understands and utilizes business information (e.g., data related to property Revenue and financial performance) to manage everyday operations and generate innovative solutions to approach business and administrative challenges.
• Technical Acumen - Understands and utilizes professional skills and knowledge in a specific functional area to conduct and manage everyday business operations and generate innovative solutions to approach function-specific work challenges.
• Analysis - The ability to analyze and summarize detailed data to make inferences and recommendations. Included is the creation and maintenance of spreadsheets for storing data.
• Research - Skill in collecting information from a variety of sources relating to market data, historical cycles, travel and tourism trends, and real estate market dynamics.
• Mathematical Reasoning - Demonstrates ability to add, subtract, multiply, or divide quickly, correctly, and in a way that allows one to solve work-related issues.
• Oral Comprehension - Demonstrates ability to listen to and understand information and ideas presented through spoken words and sentences.
• Reading Comprehension - Demonstrates understanding of written sentences and paragraphs in work-related documents.
• Writing - Communicates effectively in writing as appropriate for the needs of the audience.

MANAGEMENT COMPETENCIES

Leadership

• Adaptability - Maintains performance level under pressure or when experiencing changes or challenges in the workplace.
• Communication - Conveys information and ideas to others in a convincing and engaging manner through a variety of methods.
• Problem Solving and Decision Making - Identifies and understands issues, problems, and opportunities; obtains and compares information from different sources to draw conclusions, develops and evaluates alternatives and solutions, solves problems, and chooses a course of action.
• Professional Demeanor - Exhibits behavioral styles that convey confidence and command respect from others; makes a good first impression and represents the company in alignment with its values.

Managing Execution

• Building and Contributing to Teams - Participates as a member of a team to move toward the completion of common goals while fostering cohesion and collaboration among team members.
• Driving for Results - Sets high standards of performance for self and/or others; assumes responsibility for work objectives; initiates, focuses, and monitors the efforts of self and/or others toward the accomplishment goals; proactively takes action and goes beyond what is required.
• Planning and Organizing - Gathers information and resources required to set a plan of action for self and/or others; prioritizes and arranges work requirements to accomplish goals and ensure work is completed.

Building Relationships

• Coworker Relationships - Interacts with others in a way that builds openness, trust, and confidence in the pursuit of organizational goals and lasting relationships.
• Customer Relationships - Develops and sustains relationships based on an understanding of customer/stakeholder needs and actions consistent with the company’s service standards.
• Global Mindset - Supports employees and business partners with diverse styles, abilities, motivations, and/or cultural perspectives; utilizes differences to drive innovation, engagement and enhance business results; and ensures employees are given the opportunity to contribute to their full potential.

Generating Talent and Organizational Capability

• Talent Management - Provides support and feedback to help individuals develop and strengthen skills and abilities needed to accomplish work objectives.

Learning and Applying Professional Expertise

• Applied Learning - Seeks and makes the most of learning opportunities to improve performance of self and/or others.
• Business Acumen - Understands and utilizes business information to manage everyday operations and generate innovative solutions to approach business and administrative challenges.
• Technical Acumen - Understands and utilizes professional skills and knowledge in a specific functional area to conduct and manage everyday business operations and generate innovative solutions to approach function-specific work challenges.
• Sales Opportunity Analysis-Understanding and utilizing economic, financial, industry, and organizational data; accurately diagnosing customers’ business strengths, weaknesses, and key issues that can inform sales strategies and plans.
• Basic Competencies - Fundamental competencies required for accomplishing basic work activities.
• Basic Computer Skills - Uses basic computer hardware and software (e.g., personal computers, word processing software, Internet browsers, etc.).
• Mathematical Reasoning - Adds, subtracts, multiplies, or divides quickly, correctly, and in a way that allows one to solve work-related issues.
• Oral Comprehension - Listens to and understands information and ideas presented through spoken words and sentences.
• Reading Comprehension – Understands written sentences and paragraphs in work related documents.
• Writing - Communicates effectively in writing as appropriate for the needs of the audience.

Marriott International is an equal opportunity employer. We believe in hiring a diverse workforce and sustaining an inclusive, people-first culture. We are committed to non-discrimination on any protected basis, such as disability and veteran status, or any other basis covered under applicable law.

Head of Data Analytics & Operations

Affle is a global technology company with a proprietary consumer intelligence platform that drives consumer engagement, acquisition, and transactions through targeted Mobile Advertising. We are looking for a strategic and results-driven Head of Data Analytics & Operations to lead our YouAppi platform’s data analysis, operations, and business intelligence initiatives. This key leadership role will be responsible for optimizing global operations, improving workflows, enhancing team collaboration, and leveraging data to inform critical business decisions. The role will involve close collaboration with senior leadership across both the EU and APAC regions.

Key Responsibilities:

1. Operational Strategy & Execution

• Partner with the COO and SVP of Product Performance to design and implement operational workflows, streamline business processes, and improve performance across global and regional operations.
• Work alongside the VP of Operations to ensure alignment of operational workflows across the APAC region, optimizing efficiency and aligning regional priorities with company goals.
• Develop and execute strategies to enhance operational efficiency, resource allocation, and project delivery through data-driven insights.
• Continuously refine operational processes to ensure they are scalable, efficient, and aligned with both global and regional objectives.

2. Strategic Data Analysis & Business Intelligence

• Lead the creation and execution of strategic data analysis initiatives, providing actionable insights to optimize operations, programmatic campaign management, and product delivery.
• Drive the adoption of business intelligence tools and processes to enhance decision-making across the organization.
• Deliver regular reports and dashboards on key performance indicators (KPIs), guiding operational and strategic decisions for senior leadership.
• Collaborate with product and analytics teams to stay on top of market trends, competitive performance, and industry innovations.

3. Team Management & Leadership

• Lead and mentor a diverse, cross-functional team of operations and analytics professionals, fostering a culture of collaboration, innovation, and accountability.
• Ensure team members in both Europe and APAC are aligned with the company’s strategic objectives and have access to the tools, training, and resources they need to succeed.
• Oversee talent development and performance management, ensuring high-performing, engaged teams.
• Promote continuous learning and professional growth within the team, encouraging cross-regional collaboration.

4. Cross-Functional Collaboration

• Work closely with senior management to implement global operational workflows, ensuring consistent practices and standards across all regions.
• Collaborate with teams globally to implement and synchronize operational workflows, ensuring seamless communication and effective coordination across regions.
• Develop strategies to improve communication between global offices, ensuring alignment of goals and transparency in operations.

5. Continuous Improvement & Innovation

• Foster a culture of continuous improvement by optimizing workflows, increasing productivity, and enhancing the client experience.
• Identify and implement new tools, processes, and technologies that can improve both global and regional performance.
• Regularly assess operational efficiency and client satisfaction metrics, proposing data-driven strategies for improvement based on insights and feedback.

Affe International Pte Ltd (“Affle”) has a Data Protection Policy for Job Applicants (Singapore) that sets out the basis upon which Affle may collect, use, disclose or otherwise process your personal data in accordance with the Personal Data Protection Act (“PDPA”). To find out more, read our updated privacy policy

By submitting your Job Application, you are granting your consent to the processing of that information in accordance with Affle Data Protection Policy.

Affe International Pte Ltd (“Affle”) has a Data Protection Policy for Job Applicants (Singapore) that sets out the basis upon which Affle may collect, use, disclose or otherwise process your personal data in accordance with the Personal Data Protection Act (“PDPA”). To find out more, read our updated privacy policy

By submitting your Job Application, you are granting your consent to the processing of that information in accordance with Affle Data Protection Policy.

About Us:
From business process re-engineering to global business expansion for Japanese corporations, Abeam Consulting has served our clients through more than 40 years of growth. With our vision of being the No. 1 global consulting firm from Asia, ABeam Consulting helps our clients take on the challenge of business transformation. With 4,400 consultants in Japan, and 3,100 in overseas offices concentrated in Asia, our 7,500 consultants and global alliance partners provide truly comprehensive services.


Responsibilities:

• Coordinate data migration activities between Business Analysts (BA), Data Analysts (DA), IT, and Business teams across all branches.
• Establish a data migration framework and ensure alignment with the target operating model (TOM) requirements.
• Identify and roll out tools for use by the data migration team.
• Develop and implement a project reporting framework to track status and progress.
• Create transparency in the migration process and conduct risk assessments.
• Lead the data migration governance framework, reviewing and approving key decisions.
• Report directly to the Project Manager for updates to the steering committee.

Requirements:

• Min. Bachelor’s Degree in IT or any relevant field.
• At least 5 years of experience in IT Service Management (ITSM), including all phases.
• At least 5 years of experience in Business requirement gathering and definition.
• At least 5 years of Banking industry experience, with knowledge of bank products such as Deposits, Loans, Remittance, Trade, Treasury, etc.
• Possess 5 years of project management experience with minimum 1 year of data analysis experience.
• Systematic knowledge of ITSM (e.g., ITIL).
• Possess strong business communication skills in English and Japanese (to liaise with Japanese speaking stakeholders and clients).
• Experience with client engagement and team management.

Why Join Us
At ABeam Consulting, we place a strong emphasis on collaboration, and helping our employees grow and develop their skills, offering a supportive and empowering work environment. With a presence in multiple countries and a diverse range of clients, Abeam Consulting offers an exciting and dynamic workplace for individuals looking to build a career in consulting. Abeam Consulting has also recently joined SAP’s regional strategic partner initiative as their first regional partner in the region and has also been recognized by UiPath as a Diamond Partner in providing RPA solutions. With such accolades, we aim to continue driving enterprise and digital transformation initiatives in order to transform the way people work and communicate in the digital age. In addition, our industry team is working tirelessly in order to bring more solutions to the banking and finance sector.

We regret only shortlisted candidates will be notified.

Enhance Generative AI Accuracy:
1) Build and curate a comprehensive knowledge base to serve as a foundation for the Generative AI model.
2) Evaluate and analyse AI-generated responses to identify areas of improvement and optimize accuracy.

Response Analysis and Evaluation:
1) Identify, analyse, and assess the quality of AI-generated responses, ensuring they align with company standards and customer expectations.
2) Collaborate with the AI Development team to implement necessary adjustments to improve response quality.

Safety Scenario Establishment:
1) Develop and implement safety scenarios to mitigate the risk of inappropriate or sensitive AI responses, maintaining ethical and responsible AI interactions.

Data Set Maintenance:
1) Deconflict and curate data sets across various platforms to ensure a diverse and clean input for the Generative AI model.
2) Regularly update and refine data sets to reflect evolving language trends and user preferences.


Knowledge Base Updates:
1) Perform daily updates to the knowledge base, integrating the latest product information, industry updates, and relevant content.
2) Ensure accuracy and relevance of information provided by collaborating with product owners and subject matter experts.

Demand Analysis:
1) Engage in call listening activities to identify emerging demand topics and customer preferences.
2) Provide insights and recommendations to the AI Project Manager for enhancing AI-generated responses in response to these demands.

Collaboration with Product Owners:
1) Establish effective communication channels with product owners to continuously enhance the knowledge base and refine AI responses.
2) Actively gather feedback and insights from product owners to improve the accuracy and relevance of AI interactions.

Product Knowledge & Call Handling Trained
1) To be trained in Banking Related product knowledge and undergo training to learn how a customer service officer handles a customer over a call.
2) Standby support to be activated on adhoc basis by Workforce Management team to service calls/emails or any other functions deemed to be necessary to maintain Customer Centre’s service levels.

These are the experience and skillsets that we are generally looking for:
1. Meticulous and show great attention to detail. (Important)
2. Possess an analytical mindset to identify key performance metrics and evaluate the success of Gen AI initiatives. (Important)
3. Basic understanding of prompt engineering, data pre-processing, and data ingestion techniques in the context of Generative AI systems. (Good to have but not essential)
4. Proficient in MS Office (Word, Excel, Project and PowerPoint)

ABOUT SEMBCORP INDUSTRIES

Sembcorp Industries (Sembcorp) is a leading energy and urban solutions provider, led by its purpose to drive energy transition.

Headquartered in Singapore, Sembcorp delivers sustainable solutions to support energy transition and urban development by leveraging its sector expertise and global track record.

For more information, please visit www.sembcorp.com.

PURPOSE AND SCOPE

We are seeking a highly skilled and motivated Key Account Manager to manage long-term and short-term energy solutions to data centre clients, including hyperscalers and colocation players. The ideal candidate will possess strong sales acumen, excellent communication skills, and a deep understanding of energy contracts and the data centre industry. This role will involve not only sales but also operational responsibilities such as contract management, invoicing and submitting proposals to clients’ tenders or request for proposals (RFP) for short term energy purchases.

KEY ROLES AND RESPONSIBILITIES

Sales Management:

• Develop and execute strategic sales plans to achieve long-term and short-term sales goals
• Identify and engage with key decision-makers within hyperscalers and colocation clients
• Build and maintain strong relationships with existing and potential clients in the data centre industry, as well as relevant governmental stakeholders
• Conduct market research to identify new business opportunities and trends within the data centre industry
• Prepare and deliver compelling sales presentations and proposals tailored to client needs
• Structure, negotiate and close high-value energy sales agreements including conventional thermal, renewables, and low carbon solutions, to meet or exceed sales targets
• Prepare gate papers for approval of revenue contracts in compliance with internal policies
• Prepare commercial proposals to submit to clients for tender or RFPs of energy supply

Account Management:

• Serve as the primary point of contact for key accounts, ensuring high levels of customer satisfaction
• Conduct regular account reviews to assess client needs and ensure the delivery of value-added services
• Develop and implement account strategies to maximize revenue and client retention
• Address and resolve any issues or concerns raised by clients promptly and effectively

Operational Responsibilities:

• Manage the contract lifecycle, including drafting, reviewing, negotiating, and executing contracts
• Ensure all contractual obligations are met and compliance with Group policies and regulations
• Oversee the invoicing process, ensuring accuracy and timeliness in billing clients
• Collaborate with internal teams, such as finance, legal and portfolio management, to streamline operational processes and structure pricing
• Maintain detailed and organized records of all client interactions, contracts, and transactions

Reporting and Analysis:

• Monitor and report on sales performance metrics, providing insights and recommendations for improvement
• Prepare regular reports and presentations for senior management on account status and sales progress
• Analyze market trends, client feedback, and the competitive landscape to inform strategic decisions

QUALIFICATIONS & EXPERIENCE

• Proven experience in sales and account management, preferably within the data centre or power and utilities industries
• Relevant certifications such as ISCC RFNBOs would be advantageous
• Strong understanding of hyperscalers and colocation providers
• Excellent negotiation, communication, and interpersonal skills
• Ability to manage multiple priorities and work effectively under pressure and tight timelines
• Proficiency in contract management and invoicing processes
• Strong analytical skills with a keen attention to detail
• Proficient in using CRM software and other sales management tools

SKILLS, COMPETENCIES AND PREFERRED CHARACTERISTICS

• Experience with energy contracts and long-term and short-term sales cycles.
• Familiarity with data centre infrastructure, services and growth drivers
• Strong problem-solving skills and the ability to think strategically
• Self-motivated with a strong sense of initiative and ownership
• Ability to work collaboratively in a team-oriented environment

At Sembcorp, our shared corporate behaviours underpin all the work that we do in building a sustainable future:

• Institution-first Mindset – Put the interest of the Group ahead of individual interests.
• Collaboration – Deliver through collaborating across markets, businesses and functions.
• Accountability – Hold team and self accountable to deliver on our commitments.

TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including San Jose, Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo.

Why Join Us

Creation is the core of TikTok's purpose. Our platform is built to help imagination thrive. This is doubly true of the teams that make TikTok possible.

Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.

To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.

At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.

Join us.

The Growth team plays a core role in acquisition, activation, and retention of billions of users, through our globally popular products such as TikTok, Lemon8, CapCut, etc. We are building platform foundations, leveraging data and ML models, and providing end-to-end solutions to power global growth of products.

You will:

- Design and apply machine learning algorithm and product strategies to user growth methods to expand product impact as well as improve users' experiences;

- Understand user growth instruments and use data and machine learning algorithms or other strategies to make it thrive;

- Responsible for target audience, automated material production, advertising automation optimization and other related algorithm strategies

- Conduct offline and online experiments, analyze according data and evaluate to improve algorithms and strategies;

- Work with product and DEs, DAs, and other engineers to deliver features to drive the user growth of products.

Qualifications

Minimum Qualifications

1. Excellent coding skills and solid data structure and algorithm skills, proficient in python / C++ and other development languages;

2. Familiar with common Machine Learning tools and Deep learning programming frameworks ( Tensorflow / PyTorch / Scikit-learn / XGBoost , etc.);

3. Relevant algorithm experience in search, recommendation, advertising and other related fields, user growth experience is better;

4. Excellent analytical and problem-solving skills, with a passion for solving challenging problems.

Preferred Qualifications

1. Passion for technology, good communication skills and team spirit

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

Gen AI evaluators (Data Analyst)

Job Requirement:

• Identify key performance metrics and evaluate the success of Gen AI initiatives.
• Basic understanding of prompt engineering, data pre-processing, and data ingestion techniques in the context of Generative AI systems. (Good to have)
• Proficient in MS Office (Word, Excel, Project and PowerPoint)

Enhance Generative AI Accuracy:
1) Build and curate a comprehensive knowledge base to serve as a foundation for the Generative AI model.
2) Evaluate and analyse AI-generated responses to identify areas of improvement and optimize accuracy.

Response Analysis and Evaluation:
1) Identify, analyse, and assess the quality of AI-generated responses, ensuring they align with company standards and customer expectations.
2) Collaborate with the AI Development team to implement necessary adjustments to improve response quality.

Data Set Maintenance:
1) Deconflict and curate data sets across various platforms to ensure a diverse and clean input for the Generative AI model.
2) Regularly update and refine data sets to reflect evolving language trends and user preferences.

Knowledge Base Updates:
1) Perform daily updates to the knowledge base, integrating the latest product information, industry updates, and relevant content.
2) Ensure accuracy and relevance of information provided by collaborating with product owners and subject matter experts.

Demand Analysis:
1) Engage in call listening activities to identify emerging demand topics and customer preferences.
2) Provide insights and recommendations to the AI Project Manager for enhancing AI-generated responses in response to these demands.

Collaboration with Product Owners:
1) Establish effective communication channels with product owners to continuously enhance the knowledge base and refine AI responses.
2) Actively gather feedback and insights from product owners to improve the accuracy and relevance of AI interactions.

Thanks, and Best Regards

Karanam Vijaya Kiran

(EA Registration no: R1443178)

Recruitment Manager

Hand Phone: +65 92333815

Helius Technologies Pte Ltd (EA Licence No: 11C3373)

Overview

Microsoft aspires to help our customers achieve their digital transformation goals by leveraging the power of Microsoft Cloud solutions and support offerings. To this end, Microsoft is scaling the Azure business that will help Microsoft customers successfully realize their business outcomes.

Our culture is centered on embracing a growth mindset, a theme of inspiring excellence, and encouraging teams and leaders to bring their best each day. In doing so, we create life-changing innovations that impact billions of lives around the world. You can help us to achieve our mission.

The Azure Cloud business is one of the fastest growing businesses in Microsoft, addressing the increasing customer demand for extracting value and insights to enable businesses to digitally transform.

As the Data & AI - Sales Specialist you will be accountable for the Azure Data and AI business in your territory, and play a key role in driving sales, nurturing customer relationships, driving alignment and partnership with internal stakeholders (Account teams, Customer Success teams, Engineering and product leadership teams), and customer/partner stakeholders. You will lead the Azure Data and AI business transformation in your territory by creating and executing the Azure plan. Be a thought leader and build trust with key technical decision makers and influencers across customers and partners. You will be responsible to provide customers clarity on enterprise wide data estate migration, modernization, transformation with respect to enterprise data. Be comfortable addressing topics like information security, data governance, and compliance. Drive operational excellence, including pipleline management, accurate deal forecasts, and providing high-quality insights.

The Solution Specialist Data & AI Role is part of a sales team focusing on enterprise customers. We believe you have worked with sales for several years before, either as a pure sales role or trough ex advisory. This is a role who collaborates close with all other divisions within Microsoft, so you identify yourself as a stong team player who believes in tributing to others success.

Responsibilities

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Sales Excellence

• Engages with internal and external stakeholders on business planning, Rhythm of Business (ROB) meetings to review and plan for accounts in the assigned territory.
• Collaborates with partners and resources and leverages customer insights or industry knowledge. Contributes to exploring business and emerging opportunities to optimize the portfolio and support customer innovation.
• Collaborates with extended sales team, partners, and marketing to conduct business analysis (e.g., whitespace analysis, identify industry trends) to pursue high-potential customers and develop a target list of potential business.
• Manages the end-to-end business of the assigned territory. Conducts forecasting for accounts and develops a portfolio and territory plan to drive intentional selling aligned with strategic priorities.
• Reviews feedback report and coaches others on ensuring customer/partner satisfaction and decreasing dissatisfaction by establishing recovery action plans to improve clients' overall experience.
• Manages and/or orchestrates sales and delivery success through the account team and pursuit team.
• Completes required training and obtains relevant product and role certifications aligned to the role and workload/industry.

Sales Execution

• Identifies customer business needs and technology readiness. Contributes to the development of solutions in collaboration with internal teams, partners, and services. Proposes prioritized solutions that align with customers' needs. Articulates the business value of proposed solutions.
• Collaborates with team members to discover new opportunities. Drives incremental revenue growth through personal campaigns (e.g., portfolio analysis) or internal sources (e.g., Marketing).
• Collaborates with account teams, partners, or services to track and qualify new opportunities.
• Collaborates with other teams (e.g., account teams) and services to build pipeline. Interfaces with customers and builds relationships via social selling. Applies Microsoft's sales process (MSP) to determine the quality of the opportunity and whether to proceed.
• Implements strategies to accelerate the closing of deals. Contributes input on strategies to drive and close prioritized opportunities. Coaches less experienced team members in deal plan execution. Implements close plans (e.g., how to map timeline, engage the customer, get customer buy-in and commitment) to de-risk and drive predictable deal closure.
• Identifies opportunities to drive consumption and grow business with existing customers by initiating conversations, providing demos or quotes, and collaborating with partners or internal teams (e.g., Technical Sales Professionals, Global Black Belts. For licensing transactions and project engagements, ensures rapid and robust deployment plan at point of sale that is validated by services and partners.
• Proactively builds external stakeholders' mapping. Collaborates with account teams (e.g., Account Executives) to identify and engage senior business subject matter decision makers at the customer's/partner's business.
• Engages in conversations with customers aligned to their industry to introduce how other workloads could enable digital transformation areas that is aligned with the customer's industry and turns opportunities into deals. Initiates conversations with customers on digital transformation in one or more solution areas, in collaboration with partners and services. Creates guiding examples of digital transformation through seminars, workshops, webinars, and direct engagement.

Scaling and Collaboration

• Applies the orchestration model to leverage and expand relationships with internal stakeholders and partners (e.g., Enterprise Operating Unit). Navigates the MSFT organization to bring the best impact to the customer.
• Collaborates with One Commercial Partner (OCP) and with a network of partners to cross-sell and up-sell. Identifies new partners by researching and discussing with partners on customer scenarios.
• Develops joint proposal with partners. Contributes to developing partner strategies to address gaps in partner capabilities.

Technical Expertise

• Initiates conversations with prospective customers/partners at events to expand external network. Acts as a subject matter expert in one or more solution area(s).
• Leads conversations and sets up events within Microsoft. Mentors others and develops strategies for best practice sharing across subsidiaries. Contributes ideas that can be instituted across Microsoft.
• Collaborates with the 'compete' global black belts (GBB) to analyze competitor products, solutions, and/or services and implements strategies to position Microsoft against competitors in customer communication. Proactively provides analysis of the competitive landscape in supported solution area. Evaluates opportunities and makes recommendations on pursuit or withdrawal. Holistic value of MSFT platform versus single-point solution that positions MSFT favorably against competitors

Qualifications

Required/minimum qualifications

• Bachelor's Degree in Computer Science, Information Technology, Business Administration, or related field AND 6+ years technology-related sales or account management experienceOR 7+ years technology-related sales or account management experience.
• 5+ years Data & AI related sales or account management experience (Cloud based databases - SQL/NoSQL, datawarehousing, BI & Reporting , Real Time and Streaming Analytics systems, Big Data (Hadoop, Spark, Trino, Kafka, Flink), Machine Learning and AI Platforms)

Additional or preferred qualifications

• 6+ years solution or services sales experience.
• Master's Degree in Business Administration (i.e., MBA), Information Technology, or related field AND 5+ years technology-related sales or account management experienceOR Bachelor's Degree in Information Technology, or related field AND 8+ years technology-related sales or account management experience OR 9+ years technology-related sales or account management experience.

#MCAPSRegionsASEAN

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

We are seeking a skilled and motivated Data Engineer with expertise in Hadoop, Spark, OpenShift Container Platform (OCP), and DevOps practices. As a Data Engineer, you will be responsible for designing, developing, and maintaining efficient data pipelines, processing large-scale datasets. Your expertise in Hadoop, Spark, OCP, and DevOps will be crucial in ensuring the availability, scalability, and reliability of our ML Solutions.

Responsibilities:

• Implement data transformation, aggregation, and enrichment processes to support various data analytics and machine learning initiatives
• Collaborate with cross-functional teams to understand data requirements and translate them into effective data engineering solutions
• Ensure data quality and integrity throughout the data processing lifecycle
• Design and deploy data engineering solutions on OpenShift Container Platform (OCP) using containerization and orchestration techniques
• Optimize data engineering workflows for containerized deployment and efficient resource utilization
• Collaborate with DevOps teams to streamline deployment processes, implement CI/CD pipelines, and ensure platform stability
• Implement data governance practices, data lineage, and metadata management to ensure data accuracy, traceability, and compliance
• Monitor and optimize data pipeline performance, troubleshoot issues, and implement necessary enhancements
• Implement monitoring and logging mechanisms to ensure the health, availability, and performance of the data infrastructure
• Document data engineering processes, workflows, and infrastructure configurations for knowledge sharing and reference
• Stay updated with emerging technologies, industry trends, and best practices in data engineering and DevOps
• Provide technical leadership, mentorship, and guidance to junior team members to foster a culture of continuous learning and innovation to the continuous improvement of the analytics capabilities within the bank

• Bachelor's degree in Computer Science, Information Technology, or a related field
• Proven 2-5 Years of experience as a Data Engineer, working with Hadoop, Spark, and data processing technologies in large-scale environments
• trong expertise in designing and developing data infrastructure using Hadoop, Spark, and related tools (HDFS, Hive, Pig, etc)
• Experience with containerization platforms such as OpenShift Container Platform (OCP) and container orchestration using Kubernetes
• Proficiency in programming languages commonly used in data engineering, such as Spark, Python, Scala, or Java
• Knowledge of DevOps practices, CI/CD pipelines, and infrastructure automation tools (e.g., Docker, Jenkins, Ansible, BitBucket)
• Experience with Graphana, Prometheus, Splunk will be an added benefit
• trong problem-solving and troubleshooting skills with a proactive approach to resolving technical challenges
• Excellent collaboration and communication skills to work effectively with cross-functional teams
• Ability to manage multiple priorities, meet deadlines, and deliver high-quality results in a fast-paced environment
• Experience with cloud platforms (e.g., AWS, Azure, GCP) and their data services is a plus

Overview / Brief

Louis Dreyfus Company is a leading merchant and processor of agricultural goods. Our activities span the entire value chain from farm to fork, across a broad range of business lines, we leverage our global reach and extensive asset network to serve our customers and consumers around the world. Structured as a matrix organization of six geographical regions and ten platforms, Louis Dreyfus Company is active in over 100 countries and employs approximately 18,000 people globally.

Diversity & Inclusion

LDC is driven by a set of shared values and high ethical standards

Diversity is part of our DNA. LDC strives to create a diverse and inclusive work environment where people can thrive regardless of gender, sexuality, ethnicity or background.

Sustainability

Sustainable value is at the heart of our purpose as a company

We are passionate about creating fair and sustainable value, both for our business and for other value chain stakeholders: our people, our business partners, the communities we touch and the environment around us.

We are looking for a highly skilled Senior Data Scientist for our DT&A Platform with a strong background in Supply Chain. We seek for someone who enjoys hands-on data science work while also possess the ambition to lead strategic initiatives. The role bridges data science, product management, and business strategy, playing a key role in shaping the future of our supply chain data ecosystem. A strong initial focus will involve tracking vessels and their cargoes while contribute to the creation of a digital twin of our operations. The role offers an unparalleled opportunity to make a tangible impact on our global supply chain optimization and predictive capabilities.

Main Responsibilities:

• Data Product Development:

1. Design, develop, and manage the lifecycle of high-quality data products

• Algorithm Design:

1. Build advanced algorithms, with a focus on fuzzy matching, destination prediction, indicator modeling, and optimization within digital twins

• Data Management:

1. Collaborate with data engineers to handle complex, multi-format datasets, ensuring accurate analysis and effective data governance

• Team Coordination:

1. Work closely with cross-functional teams, including data architects, data engineers, and the product team to align on project goals, technical specifications, and deliverables

• Stakeholder Engagement:

1. Translate business needs into data-driven solutions, ensuring alignment with strategic goals

• Insights Presentation:

1. Synthesize raw data into actionable insights, delivering compelling visualizations and narratives for both technical and non-technical stakeholders on a regular basis

Experiences:

• At least 2-4 years of relevant experiences
• Strong background in AIS data, geographical data, or time series prediction
• Proven experience in designing and implementing quality algorithms for research and data analytics
• Experience in agricultural commodities trading, freight, logistics or similar markets is a strong plus
• Experience with modeling techniques and machine learning algorithms is a plus
• Passionate about staying abreast of the latest trends in AI, data science, and industry innovations
• Genuine interest in commodity trading industry
• Strong analytical and statistical capabilities, with a proven track record in problem-solving
• Excellent communication skills
• Ability to work independently and in collaborative settings
• Independent self-starter who takes initiative, and has a proactive attitude toward problems and issues
• Ability to present complex technical concepts in an accessible manner to stakeholders at all levels
• Ability to communicate with both technical and non-technical stakeholders

Technical Skills:

• Proficiency in Python and SQL
• Experience in data analysis libraries (e.g. Pandas, NumPy, SciPy)
• Experience in working with large, complex datasets
• Experience in implementing fuzzy matching algorithms, optimization techniques, and other advanced analytics methods are a strong plus

Academics:

• Degree or Master’s in Mathematics, Statistics, Econometrics, Computer Science, Data Science or related field of study

COMPANY DESCRIPTION

1-Net manages carrier-neutral Internet Data Centers, along with providing a comprehensive range of integrated services including network connectivity, managed services, work area recovery suite, cloud and media delivery services. 1-Net's Data Center Corridor initiative currently interconnects key data centers in Singapore to facilities quick deployment and providing a diverse connectivity options for enterprises and service providers.

We are committed to creating an inclusive and diverse workplace where talent thrives. Our hiring decisions are made based on merit and fit-to-role. If you have a disability or special need which requires accommodation to participate in the recruitment process, please inform us when you submit your online application. We will be happy to support as necessary.

Thank you for your interest and application to this role. Please note that only short-listed candidates will be contacted.

RESPONSIBILITIES

1-Net is fast transforming itself into Asia's Data Centre of Choice. As one of the pioneers in broadband development in Singapore, 1-Net currently manages telco-class carrier-neutral Internet Data Centres, along with providing domestic and international connectivity, managed services and media delivery services. 1-Net offers superior stability, secure delivery and service experience through its services. It's uniquely positioned in Southeast Asia, with a comprehensive range of integrated services and a media-centric approach to bring cutting edge solutions to its customers.

Responsibilities

• Manage the maintenance and daily operations of the DC facilities with the objective of achieving uninterrupted availability at all times and to ensure the fulfillment of our service commitment to customers.
• Support service delivery to ensure contracted service level agreements and key performance indicators are met or exceeded.
• Perform routine facilities activities including inventory control. Critical systems checks and functional testing. Able to respond and take action in response to facilities crisis management activities including: power outages, fire alarms, HVAC outages. Analyze data and identify trends with facility issues to determine root cause and take appropriate action.
• Respond to BMS/EMS alerts, investigate and feedback on any outstanding issues or events and respond to emergency situations and be on standby duty as required.
• Provide technical support to all aspects of data center operations including the operation, maintenance and repair of all mission critical equipment and systems supporting a 24x7 data center operation to achieve 100% uptime and 100% compliance with all customer SLAs.
• Assist in all site construction activities and installations, in coordination with external contractors to ensure system design, installation and testing adhere to operational standards. Witness testing of all equipment during commissioning and validate sequence of operations and receipt of all operational documentation.
• Support for customer installations, in coordination with the design & construction as well as operations requirements to coordinate customer move-in and turn-on, and other service request & deliveries.
• Maintain compliance with local workplace safety & health (WHS) standards and local electrical and building codes.
• Ensure adherence to all standard operating procedures (SOP), method of procedures (MOP), and emergency response procedures (ERP) established for the critical environments, as well as the formal change control process.
• Participate in the scheduling, coordination and completion all significant planned and emergency maintenance events for the facility and ensure these activities are executed in a controlled and proven method to ensure the reliability of the critical loads supported by these systems.
• Support various accreditation, certification and compliance initiatives such as BCA-IDA Green Mark DC/QMS/ISMS/BCMS/PCIDSS/OSPAR, etc as may be required.

• Preferably with minimum 1 year experience in Data Center Facilities Management & Operations environment and service delivery.
• ITE/Diploma in Electrical or Mechanical engineering or equivalent qualification
• 24x7 rotating shift duty
• Able to comprehend, analyse and interpret complex project documents, including AutoCAD, Visio and PDF documents
• General technical and functional knowledge of data center infrastructure to include electrical and mechanical systems, fire detection and protection systems, building management systems, equipment maintenance, space planning, construction of critical facilities environment
• Working location : 1-Net (East) at Chai Chee / 1-Net (North) Woodlands