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.

‼️READY TO MAKE A CHANGE? ‼️
We are looking for the next driven, vibrant and talented individual to join us on our journey to SUCCESS

Context:

• Data Solutions for Capital Markets IT (CMI) division which manages information systems for capital markets activities which includes Front Office (FO) booking platforms, Risk Management (RM) control and regulatory reporting systems, financial product and contract valuation systems, and much more.

Job Description:

• Contribute to IT initiatives for Antaes Asia clients.
• Delivery of comprehensive business analysis to provide solutions for business needs.
• Work with the project team including product owner, senior developers, architects, BA’s to deliver business requirements and improve business processes and systems.
• Work closely with stakeholders to define requirement and various artifacts around application development or enhancement.
• Specification of business rules for regulatory reporting, business operations and transformations.
• Functional design and testing of solutions.
• Maintenance and promotion of best practices around the data dictionary of the bank.
• Interaction with developers to define implementation specs
• Interaction with other IT teams to explain and communicate on Data services
• Assisting with the daily operations through Scrum, Jira and Kanban, techniques.
• Contribute to the promotion of Antaes services on top of assistance provided to clients.

Job Requirements:

• At least Bachelor’s Degree in Computer Science, Information Technology, Programming & Systems Analysis, Science (Computer Studies) or related Finance fields.
• At least 2 years of relevant experience (Data Solutions)
• Strong communication to bring consensus on requirements.
• Functional knowledge of financial products, capital market processes & regulatory reporting.
• Knowledge on the MIFID2/SFTR/EMIR / any APAC transaction regulatory reporting principles is desirable.
• Strong problem-solving skills with ability to think out of box.
• Excellent communications and proven documentation capabilities.
• Skilled in Data analysis using database queries (SQL/Oracle/Sybase), TSQL.

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

Permanent, 5days, Paya Lebar

Our client

MNC in air conditioning ventilation system solution serving high tech industry

Job Scope:

• Plan and manage HVAC projects for data centers.
• Lead project meetings and collaborate with clients, consultants, subcontractors, and internal teams.
• Review project specs, drawings, and contracts for compliance.
• Monitor site progress and address any technical or operational issues.
• Prepare schedules, reports, and project documentation.
• Oversee procurement of materials and equipment.
• Ensure workplace safety, quality, and regulatory compliance.
• Conduct site inspections and guide the project team.

Requirements:

• Degree in Mechanical Engineering or a related field.
• Minimum 5 years of experience in ACMV/HVAC or related M&E projects.
• Familiarity with HVAC systems for data centers.
• Strong project management skills.

Work location :Paya Labar

Whats on offer

(1) Attractive package

(2) Stable Management

(3) Dynamic work environment

For better response, pls apply via job page

https://recruitmentalliance.zohorecruit.com/jobs/Careers

click job opening, click relevant position

We regret that only shortlisted candidates will be notified

• Preparing business and sales reports for the team and management
• Data Management using excel, power BI
• SAP and other price system operations
• Assist in the Business planning and consolidation activities
• Perform numerical analyses for management and team as and when required assist in other ad-hoc analytics projects

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.

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.

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.

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.

We are looking for a experienced Business Data Analyst to manage projects on Data Quality, Data Discoverability, Data Ownership and Data Access for a reputed bank.

Mandatory Skill-set

• Bachelor's degree in Computer Science, Banking, or a related field;
• At least 3 to 5 years of proven experience in data issue management and data profiling within the banking industry;
• Demonstrated experience working as a Business Analyst, and understanding of banking products and processes;
• Strong hands-on expertise in SQL;
• Solid understanding of data quality principles;
• Excellent communication skills, with the ability to simplify and clearly explain complex data issues;
• Proficient in creating well-structured presentations with clear narratives and data analysis tailored to various audiences;
• Ability to work independently with minimal supervision, understanding business needs, and driving initiatives and cross-functional collaboration forward;
• Adaptable and thrives in a fast-paced, high-pressure, and ambiguous environment, with a strong sense of intellectual curiosity.

Desired Skill-set

• Hands-on experience in Python.

Responsibilities

• Facilitate alignment across cross-functional teams to drive measurable improvements in data quality;
• Ensure proper follow-up, status reporting, and timely resolution of issues raised in the Data Issues Log for both Singapore and overseas locations;
• Define critical data attributes and establish data quality requirements;
• Ensure data is fit for both operational and strategic use;
• Drive and foster cross-collaboration with RMG units on Data Governance matters;
• Host regular RMG Data Quality forums, including preparation of meeting materials, and represent RMG at Group-level Data Issue meetings;
• Organize cross-department discussions to address and resolve data issues;
• Collaborate with RMG stakeholders to review and enhance data quality monitoring reports and processes;
• Participate in data ownership discussions and ensure proper follow-ups;
• Assist in the review and setup of data access for users;
• Lead data management-related reviews, including BCBS239 annual reviews.

Should you be interested in this career opportunity, please send in your updated resume to [email protected] at the earliest.

When you apply, you voluntarily consent to the disclosure, collection and use of your personal data for employment/recruitment and related purposes in accordance with the SCIENTE Group Privacy Policy, a copy of which is published at SCIENTE’s website (https://www.sciente.com/privacy-policy).

Confidentiality is assured, and only shortlisted candidates will be notified for interviews.

EA Licence No. 07C5639

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)

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.

Company Overview:
A global leader in logistics and supply chain solutions is seeking a skilled and innovative Data Scientist – Business Insights & Automation to join our forward-thinking team. This role offers a unique opportunity to blend data science expertise with process automation to drive meaningful improvements across our operations.

Key Responsibilities:

• Data Analysis & Automation: Design, develop, and program methods to consolidate and analyze unstructured and diverse data sources, transforming them into actionable insights and automated solutions.
• Algorithm & Software Development: Develop algorithms, software programs, and automated processes to cleanse, integrate, and evaluate large datasets from multiple disparate sources.
• Partner with Stakeholders: Collaborate with business experts to enrich data and deliver meaningful insights that inform strategic decision-making.
• Streamlining Operations: Automate repetitive data tasks, minimizing manual intervention and optimizing workflows to enhance efficiency.
• Data Visualization: Create compelling visualizations to effectively communicate findings and actionable recommendations to stakeholders.
• Stay Current: Keep up-to-date with industry trends and advancements in data science, machine learning, and artificial intelligence to ensure best practices.
• Cross-Functional Support: Provide assistance in administrative matters, global project handling, and other ad-hoc tasks as assigned by management.

Qualifications:

• Minimum diploma in Data Science, Statistics, Computer Science, Mathematics, or a related field.
• Minimum 2 years of experience in a data science role
  Experience in the logistics or supply chain industry is a plus.
• Proficiency in programming languages such as Python, R, SQL, and PowerShell, with expertise in data manipulation and analysis libraries.
• Experience with data visualization tools (e.g., Power BI).
• Strong understanding of automation techniques and tools to streamline processes.
  
• Strong analytical and problem-solving skills with an ability to translate complex business challenges into data-driven solutions.
• Effective communication skills for presenting findings to non-technical stakeholders.
• Strong knowledge of Microsoft Office Suite.

To Apply, kindly click on the "APPLY NOW" button.

We regret that only shortlisted candidates will be notified.

Staffking Pte Ltd (20C0358) | Chong Kar Ming (John) (R21101412)

The exceptional EY experience. It's yours to build.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.

The opportunity:

EY DnA is the data and advanced analytics capability within EY Asia-Pacific, with over 500 specialist employees working across multiple industry sectors.

We implement information-driven strategies, data platforms and advanced data analytics solution systems that help grow, optimize and protect client organizations. We go beyond strategy and provide end to end design, build and implementation of real life data environments and have some of the best architects, project managers, business analysts, data scientists, big data engineers, developers and consultants in the region.

We are looking for a Data Engineer within the DnA team in our Singapore office. This role is offered on a flexible full time basis.

Your key responsibilities:

• Apply data mining, data modelling, natural language processing, and machine learning to extract and analyse information from large structured and unstructured datasets
• Develop and implement techniques and analytics applications to transform raw data into meaningful
  information using dataoriented programming languages and visualisation software.
• Visualise, interpret, and report data findings and may create dynamic data reports as well
• Design, develop, and maintain the organization's data architecture, including data pipelines, databases, and data warehouses.
• Develop and maintain ETL (Extract, Transform, Load) processes to efficiently move data from various sources to the data
• Implement data quality checks and monitoring processes to identify and resolve data issues in a timely manner.
• Collaborate with data scientists, analysts, and other cross-functional teams to understand data requirements and deliver data solutions that meet business needs.

Skills and attributes for success

• Experience in ETL, Data Engineering, Scripting.
• Knowledge and experience in end-to-end project delivery, either traditional SDLC or agile delivery methodologies (or hybrid approaches)
• Experience in a delivery role on Business Intelligence, Data Warehousing, Big Data or analytics projects
• Exceptional communication, documentation and presentation skills and stakeholder management experiences
• Experience in business intelligence, data warehousing/platform, and data strategy projects

To qualify for the role, you must have

• At least a Bachelor's degree in any of these faculties: Computer Science/Information Technology/Programming & Systems Analysis/Science (Computer Studies)
• Minimum total 6 years work experience in at least 1 of these job titles: (1) Chief Data Scientist (2) Data Engineer (3) Data Scientist (4) Head of Data Analytics
• Experience in development and maintenance of Data processing pipelines
• Experience developing machine learning workflows
• Work closely with business analysts to create data components
• Application packaging and deployment experience across DEV to PROD environments

Ideally, you’ll also have

• Dashboarding experience with Tableau / Power BI
• Experience in engaging with both technical and non-technical stakeholders
• Consulting experience and background, including engaging directly with clients

What we look for

• Highly motivated individuals with excellent problem-solving skills and the ability to prioritize shifting workloads in a rapidly changing industry.
• An effective communicator, you’ll be a confident leader equipped with strong people management skills and a genuine passion to make things happen in a dynamic organization.

What we offer

EY offers a competitive remuneration package commensurate with your work experience where you’ll be rewarded for your individual and team performance. We are committed to being an inclusive employer and are happy to consider flexible working arrangements, where this may be needed, guided by our FWA Policy.

Plus, we offer:

• Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next.
• Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.
• Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs.
• Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs.

If you can demonstrate that you meet the criteria above, apply now.

To learn more about our service offerings, visit https://www.ey.com/en_gl/careers/what-you-can-do-here or subscribe to http://www.youtube.com/ernstandyoungglobal

To learn more about careers in EYSG, please visit https://www.ey.com/en_sg/careers or like us on https://www.facebook.com/eycareerssingapore

COMPANY DESCRIPTION

A leading general insurer with a local presence of over 100 years, MSIG Singapore offers an extensive range of insurance solutions for commercial and personal risk protection, enabling the security and safety of individuals and businesses. MSIG Singapore holds an A+/Stable financial rating by Standard & Poor's.

A testament to its growing strength and influence, MSIG Singapore has garnered numerous awards for delivering digitally innovative and customer-centric solutions. In 2023, 2022 and 2020, MSIG Singapore was awarded Insurance Asia Awards' Claims Initiative of the Year.

MSIG is a subsidiary of Mitsui Sumitomo Insurance Co., Ltd, and a member of the MS&AD Insurance Group one of the largest general insurance groups in the world with presence in 50 countries and regions globally, 18 of which are in Asia Pacific including all ASEAN markets as well as in Australia, New Zealand, China, Hong Kong, Taiwan, South Korea and India. Headquartered in Japan, MS&AD is amongst the top non-life insurance groups in the world based on gross revenue.

RESPONSIBILITIES

• Assist Senior Vice President, Technical Services to provide actuarial services and analysis to the underwriting, claims, business development, reinsurance and finance managers.
• Introduce best practice actuarial science to the business process including premium rating
• Undertake any other duties as may be assigned.

• Preferably with Actuarial Science, Mathematics or Statistics degree and currently pursuing professional qualifications from the Casualty Actuarial Society/Institute of Actuaries/Institute of Actuaries of Australia
• Should ideally be one to two years from obtaining the professional qualification above

• Knowledge and experience in general insurance actuarial practice especially in areas of premium rating, portfolio monitoring, reserving, risk/financial/capital modelling
• Statistical knowledge
• Good understanding of data, actuarial software and programming languages including analytics and visualisation tools
• Preferably with experience in a consultancy firm or/and general insurance company
• Ideally a minimum of 2 years experience in a general insurance actuarial practice
• Business oriented, able to suggest practical recommendations
• Some general insurance business knowledge

We are thrilled to announce the launch of our new AI Hub in Singapore, a strategic initiative designed to drive innovation in Artificial Intelligence (AI), Generative AI, and Data Science. This hub will play a pivotal role in shaping the future of our business, serving as a center of excellence for delivering cutting-edge AI and data-driven solutions across our diverse product lines. As part of this dynamic and growing team, you will be at the forefront of leveraging AI to address complex challenges and deliver transformative insights for our operations worldwide.

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:
  • Design, develop, and manage the lifecycle of high-quality data products
• Algorithm Design:
  • Build advanced algorithms, with a focus on fuzzy matching, destination prediction, indicator modeling, and optimization within digital twins
• Data Management:
  • Collaborate with data engineers to handle complex, multi-format datasets, ensuring accurate analysis and effective data governance
• Team Coordination:
  • 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:
  • Translate business needs into data-driven solutions, ensuring alignment with strategic goals
• Insights Presentation:
  • 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

Languages:

• English (Fluent)

Academics:

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

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.

Responsibilities :

• Understands the commercial cost/financial/budget impact of decisions to be taken, for any products/solutions to be developed, considering the overall impact to a customer proposal and recommending the appropriate solutions

• Participate in deep architectural discussions to ensure solutions are designed for successful deployment.

• Design of solution offerings including services, support, training (classroom, roundtables, webinars). Detail definition of Solution Components, Scope of Work, Deliverables, Effort Sizing and Pricing.

• Implementation planning and delivery for Proof Of Concepts (POC), Migration Services & Deployment Services.

• Work closely with the Sales team to provide full presales assistance in support of the successful achievement of sales targets while adhering to cost of sales objectives

• Self-sufficiency in leading pre-sales activities aiming to close sales opportunities.

• Achieving reliable, timely and high-quality design and deployment work.

• Any other duties as assigned by management.

Requirements :

• Minimum 2 years of hands-on experience as a consultant with pre-sales and implementation experience.

• Minimum 3 years of solution design and/or hands-on implementation experience as a Systems Engineer.

• Wide expertise of ICT field and systems, network, storage, virtualization, and/or security.

• Experience in building and migrating applications, software and services.

• Direct experience with Cisco routing/switching, wireless LAN controller, software defined Network, Load balancer (Netscalers).

• Motivated, self-starter, with strong presentation, communication, problem solving skills.

• Ability to address, persuade and interact with senior and executive level positions as well as all levels of system end-users.

• Knowledge of Competitive Products & Technology.

• In-depth knowledge of Implementation methodologies and best practices.

Qualification :

• University Degree in Computer Science or Computer Engineering or related field.

• At least 2 years’ experience in major IT Integration / User Interaction projects involving the whole business process.

• Fluency in English.

Working Location : East Central

**We regret that only shortlisted candidates will be notified. Personal data collected will be used for recruitment purposes**

We are seeking a skilled AWS Data Engineer to join our team and support our data initiatives within the Singapore Public Sector. The ideal candidate will have extensive experience in ETL processes, data loading, and data management using AWS services.

Responsibilities

• Perform end-to-end data loading using AWS Glue and Lake Formation.
• Develop and manage ETL workflows using AWS Lambda, Step Functions, PySpark, and Python scripts.
• Load data into AWS RDS and manage data storage in S3 Buckets.
• Provide data for BI reporting using Tableau, leveraging data from S3 Buckets and RDS.
• Implement and manage AIML workflows in AWS using SageMaker, including model building and deployment.
• Utilize AWS Bedrock for advanced data processing and analytics (knowledge and experience with AWS Bedrock is a plus).
• Install and configure native AWS services as required.

Requirements

• Proven experience with AWS Glue, Lake Formation, Lambda, Step Functions, PySpark, and Python.
• Strong understanding of AWS RDS, S3 Buckets, and data management best practices.
• Experience with BI reporting tools, particularly Tableau.
• Familiarity with AIML workflows and model building using AWS SageMaker.
• Knowledge of AWS Bedrock is a plus.
• Experience with the installation and configuration of AWS native services is a plus.
• Excellent problem-solving skills and attention to detail.
• Strong communication and collaboration skills.

Preferred Experience

• Previous experience working within the public sector.
• AWS certifications related to data engineering and machine learning.

About Cognizant

Cognizant (NASDAQ-100: CTSH) is one of the world's leading professional services companies, transforming clients' business, operating and technology models for the digital era. Our unique industry-based, consultative approach helps clients envision, build and run more innovative and efficient businesses. Headquartered in the U.S., Cognizant is ranked 195 on the Fortune 500 and is consistently listed among the most admired companies in the world. Learn how Cognizant helps clients lead with digital at www.cognizant.com or follow us @Cognizant.

POSITION SUMMARY:

This role is responsible for building and maintaining a robust data foundation to drive commercial growth, operational excellence, and data consolidation within the region. Reporting to the Senior Lead, Data & Analytics and collaborating closely with the Corporate team, you will be instrumental in designing, developing, and implementing data pipelines, data models, and AI algorithms to optimize commercial performance, improve forecasting, enhance supply chain visibility, and reduce data redundancy.

The overarching objective is to transform data into actionable insights to drive business growth and efficiency. You will work closely with cross-functional teams across the region to establish and streamline data processes, ensuring data quality and consistency. Your role will involve managing and optimizing diverse data sources, including sales, marketing, supply chain, finance, customer, and operational data, to derive actionable insights for business decision-making. By harnessing the power of data and AI, you will contribute to defining the future of customer experience and driving overall business success.

KEY RESPONSIBILITIES:

• Design, develop, and maintain efficient data pipelines to extract, transform, and load data from various sources, including ERP, CRM, supply chain systems, third-party platforms, e-commerce platforms (via APIs), and omnichannel engagement platforms into a centralized data warehouse and on-premise systems.
• Identify opportunities to consolidate data sources and reduce redundant data subscriptions, including from omnichannel engagement platforms.
• Develop and maintain a data catalogue to improve data accessibility for commercial teams and enhance data-driven insights from omnichannel customer journeys.
• Create and manage master data related to products, customers, suppliers, inventory, and third-party data to ensure data consistency and accuracy for commercial analysis and data consolidation efforts, including data from omnichannel engagement platforms.
• Develop and implement data models to support sales forecasting, customer segmentation, pricing optimization, and other commercial initiatives while aligning with the company's data consolidation strategy and leveraging data from omnichannel engagement platforms.
• Build and maintain a scalable and secure data infrastructure to accommodate increasing data volumes and variety to support commercial growth, data centralization, and integration of omnichannel engagement data across both cloud and on-premise environments.
• Collaborate with commercial teams and other departments to identify data-driven opportunities, including leveraging third-party data insights and data from omnichannel engagement platforms, and translate business requirements into actionable data solutions that contribute to data consolidation.
• Develop and implement a strategy to create a unique customer identifier across all omnichannel touchpoints.
• Identify and prioritize new data sources within the region, including data from emerging omnichannel engagement platforms, to enhance commercial intelligence and support business growth while considering opportunities for data consolidation and cost reduction.
• Conduct exploratory data analysis, including analysis of third-party data and data from omnichannel engagement platforms, to identify patterns and trends that can drive revenue growth, improve profitability, and inform data consolidation efforts.
• Ensure data quality and integrity, including validation of third-party data and data from omnichannel engagement platforms, through data profiling and cleansing to support accurate commercial reporting and data consolidation initiatives.
• Optimize data pipelines and query performance to handle diverse data sources, including data from omnichannel engagement platforms, efficiently and enable timely commercial insights while maximizing data utilization across both cloud and on-premise environments.
• Provide technical support to commercial teams and data analysts in utilizing data-driven insights, including those from omnichannel engagement platforms, to improve business performance and contribute to data consolidation goals.
• Collaborate with the Corporate team on data strategy, standards, and best practices to align regional data initiatives with overall commercial objectives, data consolidation efforts, and the effective utilization of omnichannel engagement data.
• Design, develop, and deploy AI models on-premise to address data privacy and security concerns.
• Manage data governance and compliance requirements for both cloud and on-premise data environments.

KEY REQUIREMENTS:

• Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field.
• At least 3 years of experience in data engineering, including data ingestion, transformation, and modeling, with a focus on integrating diverse data sources across cloud and on-premise environments. Experience with pharmaceutical industry data and regulations is a plus.
• Strong proficiency in SQL and data warehousing concepts for both cloud and on-premise platforms.
• Experience with Python for data manipulation and analysis, including API integration and model development.
• Experience with on-premise data management and security best practices.
• Understanding of cloud-based data platforms (e.g., AWS, GCP, Azure) and on-premise data infrastructure. Experience in Google Cloud Platform is preferred.
• Knowledge of supply chain management principles and processes is preferred.
• Able to process datasets in Mandarin language, and to interact and work closely with Mandarin- speaking stakeholders.
• An innovative mindset combined with an agile way of working and adaptability to a fast-paced environment.
• Strong analytical and problem-solving skills.
• Strong documentation skills.
• Excellent communication and interpersonal skills - Ability to communicate with both technical and business teams.
• Strong time management and organizational skills - Ability to manage multiple projects and prioritize tasks.
• Attention to detail and accuracy.
• Ability to work effectively both independently and as part of a team - Ability to work cross-functionally and across local markets within APAC region.
• Able to commit for 1 year contract.