Sales Engineer

Location: Loyang Way
Working Days: Mon - Fri
Working hours: 830 a.m. to 530p.m.
Salary: $3,000 - $4,500 (depends on experience)

Position Overview:
We are seeking a motivated and experienced Sales Engineer to join our team. The Sales Engineer will play a critical role in driving sales and delivering technical solutions that meet our clients’ needs. This role requires a blend of technical expertise and sales acumen, as you will work closely with customers to understand their requirements, present tailored solutions, and support the sales process from inception through to implementation.

Key Responsibilities:

1. Customer Engagement and Relationship Management:

• Develop and maintain strong relationships with key customers and stakeholders.
• Conduct needs assessments to understand customer requirements and challenges.
• Provide technical consultation to customers, offering solutions that align with their operational goals.

2. Sales Support:

• Scout, develop and obtain leads with new customers to develop sales in your assigned territory.
• Prepare and deliver compelling presentations and product demonstrations to potential clients.
• Develop detailed quotes and proposals, addressing customer needs and specifying technical requirements.

3. Service Support:

• Liaise with customers, end-users and purchasers to introduce the company’s service capabilities.
• Drive the sales of services to existing and new customers with equipment sold by the company.
• Coordinate with the engineering and service teams to ensure seamless project execution and delivery.
• Act as a point of contact for post-sales support, troubleshooting and sales of service.

4. Market and Product Knowledge:

• Stay up to date with industry trends, emerging technologies, and competitive landscape.
• Continuously enhance product knowledge and understand advancements in equipment and service offerings.
• Share insights, feedback and customer requirements with the product development and marketing teams to drive innovation.
• Participate in all company-participated trade shows and seminars in Singapore and abroad.

5. Training and Support:

• Educate customers on equipment features, benefits, and maintenance requirements.
• Conduct training sessions for customers and internal teams to ensure proper usage and understanding of products.
• Assist management with any other ad-hoc tasks and duties as and where required.

Requirements

• Education: Bachelor’s degree in engineering, Mechanical Engineering, Electrical Engineering preferred or related technical field, Minimum Diploma in related technical field.
• Experience: Minimum of 3 years of experience in a sales engineering role, preferably within the equipment sales and service industry.
• Technical Skills: Strong understanding of vacuum pump technology or other technical equipment. Proficiency in technical sales and solution design.
• Sales Skills: Proven track record in achieving sales targets and managing customer relationships.
• Travel: Required to support regional customers in Southeast Asia (30-40%).

WhatsApp: https://wa.me/6591044149 (Shermaine)

Siah Sze Ming Reg No: R24125414

The Supreme HR Advisory Pte Ltd EA No: 14C7279

Job Description

• Industry/ Organization Type: IT / Software
• Position Title: Data Center Engineer
• Working Location: Boon Lay
• Working Hours: 5 days, Mon – Fri (Morning Shift 6 AM – 2 PM / Afternoon Shift 2 PM – 10 PM)
• Salary Package: Basic Salary up to $5,000 + AWS + Bonus
• Duration: Permanent Role

Key Responsibilities

• Perform periodic walk-through, validation of equipment status, amber lights check, etc.
• Review work order requests in the queue and respond to semi-routine work orders by adhering to commitment times.
• Escalate and expedite orders to appropriate teams upon standard operating procedures.
• Rack and stack semi-routine customer equipment tickets.
• Support datacenter standard operating cross-connect work order requests.
• Support standard operating testing and standard operating installations of customer assets.
• Support standard operating procedures of layer 1 cross-connect certification testing.
• Any other ad-hoc duties as assigned.

APPLY NOW!!!

• Diploma / Degree in IT/Computer Science, or related field.
• Minimum 1 year of IT experience or equivalent.
• Prior working experience in a Data Center, Network or Server environment would be an added advantage.
• Must be comfortable with shift rotation.

Kindly apply through ANY of the following methods:

• Submit your application by clicking the APPLY button;
• Email your resume to Job(at)anradus.com.sg. Kindly indicate #66104 on the email subject.

Anradus Application Policy: We value each application and ensure every resume is reviewed. Our process is efficient, typically concluding within 3 working days. If you do not receive communication from us within this timeframe, it’s likely that your application has not been shortlisted by our client. In such cases, we recommend continuing your job search to maximize your opportunities.

Anradus Pte Ltd | EA License No. 20C0161 | Angel Lim | EA Reg No.: R1769781

Technical Operations Data Analyst

• 12 months contract
• Hybrid work location
• Work location: CBD

The Opportunity

• Review operational issues and determine if a technology (product) solution is required or a process correction needs to be made. Identify opportunities to improve business practices and drive internal process improvements.
• Track and report on operational performance for the global team and conduct data analysis regularly to identify trends and areas of improvements.
• Run daily standup meetings and monitor and manage daily customer support tickets for prioritization and triage.
• Assist in creating Business Review content for leadership meetings.
• Ensure the team adheres to established processes and protocols while staying informed about any updates or changes. Proactively highlight any deviations that affect our quality of support both internally and with vendors.
• Identify and address any roadblocks or issues that may impact operations
• Update status page for product issues when needed
• Support daily hand-over activities between different regions
• Coordinate with the team and prepare regional monthly meeting content
• Coordinate customer notifications on expiring API product version
• Document learnings and share operational insights to cross-functional teams

Your Background

• 2-4 years of experience providing operations support in a technical environment with strong understanding of Operational Metrics and Key Performance Indicators to measure success of a team.
• Demonstrated creative problem-solving approach and experience in using data visualization technologies to help drive business insights.
• Experience in building advanced SQL queries and dashboards to find operational trends and root cause by dice and slicing data.
• Customer-oriented mindset with demonstrated understanding and empathy
  High attention to detail, with an ability to execute standard workflows while also adapting appropriately to business and process changes when necessary
• Demonstrated ability to multitask and prioritize in a fast-paced environment
• Collaborative team player with "get it done” attitude
• Excellent interpersonal skills, including relationship building and collaboration within a diverse, cross-functional team.
• Excellent verbal and written communication skills and demonstrate attention to detail

Interested parties please click "Apply Now" or contact May Anne Ramos (EA Reg no: R1110127) at [email protected] for more information.

POSITION GENERAL DUTIES AND TASKS :
Skillset

- Up to 9 years of IT experience & 5+ Years on Hadoop and K8s Eco Systems

- Last 3 years of relevant experience in banking/financial services industry

- Demonstrable analytical skills with deep knowledge of Big Data Ecosystem in a Production Support Environment.

- Hands On Experience within the Hadoop Tool Sets Hive, Hue, Spark, Kafka, Kudu, Flink, Ozone, Kafka and Streaming.

- Strong SQL, Python, Java and Unix shell scripting

- Incident, problem, and service Outage management experience is Plus.

- Good Communication and Articulation Skills



Roles/Responsibilities

- Strong in data engineering concepts and programming

- Experience in building and optimizing ‘big data’ data pipelines, architectures and data sets.

- Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.

- Strong analytic skills related to working with unstructured datasets.

- Experience in supporting data transformation, data structures, metadata, dependency and workload management.

- Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.

- Provide operational support and ensure SLI of Applications

- Troubleshoot Batch Issues & root causes to Mitigate Impacts to SLA

- Proactively Identify and Identify opportunities for preventive Maintenance

- Perform Administration & Optimization to achieve of Optimal System Performance

- Conduct review of technical and functional solutions from enhancement/project team to ensure they conform to Established Standards

- Recommend Design and Operational Optimizations

- Respond on time to the queries raised by various business units

- Provide Timely updates (Status, Progress, Issues, Resolutions) to Business Stakeholders

- Work with Project/Enhancement Teams to Review, Transition for Run Team

- Participate in Disaster Recovery and Business Continuity exercises

- Support relevant software/platform/database upgrade for the systems

- Knowledge of Troubleshooting Core Java, Python, Scala spark batch, API and streaming applications

- Support data APIs, data science ML applications running on Kubernetes platform.



Datawarehouse Support Engineer (EDW)

The support specialist will be a techno functional support team member for the Enterprise Datawarehouse (EDW) under IT BAU team.

He/she is responsible for ensuring system availability and timely deliverables for datamarts for various business unit like Finance, regulatory, Campaign.

The support specialist, as the analyst expert within the IT team, will be the support staff who needs to closely co-ordinate and work with various team like Tech Infra, application services, solutioning, project and business units in the bank. He/she follows up to resolve issues reported by users and performs impact analysis related projects/enhancements that will impact the EDW.



Roles/Responsibilities

- Responsible to provide BAU support for Enterprise Datawarehouse

- Responsible to provide operational support and ensure SLI of system availability, batch deliverables

- Respond on time to the queries raised by various business units

- Provide timely updates regarding production status and progress of issue resolution

- Fine tune applications and systems for high performance and higher volume throughput

- Conduct review of technical and functional solutions from enhancement/project team to ensure they conform to IT standards

- Perform impact analysis of enhancements/projects that will impact supported systems

- Identify the underlying problems, analyse the root causes, provide possible solutions/fixes, and respond to users within SLA

- Support relevant software/platform/database upgrade for the systems

- Work with delivery team for smooth transition from projects/enhancements to BAU Mode

- Incident, problem, and service outage management experience

- Participate in Disaster Recovery and Business Continuity exercises

- Able to support relevant software/platform/database upgrade for the systems

- Server Performance, capacity, utilization monitoring and Health monitoring

- Collaborate with diverse cross functional teams within IT and Business to Independently drive outcomes

- At least 3+ years of relevant experience in banking/financial services industry

- Experience with Teradata FSLDM and data mapping

- Hands-on technologist, strong in SQL, UNIX and Teradata tools and technologies

- Experience in designing high throughput fault tolerant data pipelines for Batch (ETL/ELT)

- Experience in GL Data reconciliation between systems, datamarts & report and Knowledge of the ledger balance reporting is an added advantage

- Experience in Performance Tuning on Teradata or other MPP data pipeline

- Hands On Experience within the Hadoop Tool Sets Hive, Hue, Spark, Kafka is a plus

As a highly collaborative organization, our data engineers work cross-functionally with software engineering, data science, and product management to optimize growth, strategy, and experience for our 3 billion plus users, as well as our internal employee community. In this role, you will see a direct correlation between your work, company growth, and user satisfaction. Beyond this, you will work with some of the brightest minds in the industry, and you'll have a unique opportunity to solve some of the most interesting data challenges with efficiency and integrity, at a scale few companies can match.

RESPONSIBILITIES

• Manage and execute data warehouse plans for a product or a group of products to solve well-scoped problems
• Identify the data needed for a business problem and implement logging required to ensure availability of data, while working with data infrastructure to triage issues and resolve
• Collaborate with engineers, product managers and data scientists to understand data needs, representing key data insights in a meaningful way
• Build data expertise and leverage data controls to ensure privacy, security, compliance, data quality, and operations for allocated areas of ownership
• Design, build and launch new data models and visualizations in production, leveraging common development toolkits
• Independently design, build and launch new data extraction, transformation and loading processes in production, mentoring others around efficient queries
• Support existing processes running in production and implement optimized solutions with limited guidance
• Define and manage SLA for data sets in allocated areas of ownership

MINIMUM QUALIFICATIONS

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
• 2+ years of work experience in data engineering
• Experience with SQL, ETL, data modeling, and at least one programming language (e.g., Python, C++, C#, Scala, etc.)

PREFERRED QUALIFICATIONS

• Experience with one or more of the following: data processing automation, data quality, data warehousing, data governance, business intelligence, data visualization, data privacy
• Experience working with terabyte to petabyte scale data

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

Description

• Design, develop, and maintain scalable data pipelines using Spark and Scala to process large datasets.

• Implement and manage Elasticsearch clusters for efficient data retrieval and analysis.

• Collaborate with data scientists and analysts to understand data requirements and provide support for analytical solutions.

• Utilize Quantexa for entity resolution and network analytics to enhance data quality and insights.

• Monitor and optimize data workflows for performance, reliability, and scalability.

• Document data processes and ensure best practices in data engineering are followed.

• Participate in code reviews and contribute to the continuous improvement of our data engineering practices.

Requirements

• Proven experience as a Data Engineer, with a strong focus on Spark and Scala.

• Proficiency in Elasticsearch for search and analytics applications.

• Familiarity with Quantexa or similar tools for data enrichment and entity resolution.

• Experience with cloud platforms (AWS, Azure, GCP) is a plus.

• Strong SQL skills and experience with relational databases.

Role

a) Provide input to the development, maintenance and promulgation of the blueprints,
roadmaps and reference architectures for Data Analytics infrastructure and services.
(b) Perform analysis of new requirements and develop solutions and manage solution
delivery through acquisition or change control.
(c) Enhance our cloud capability by creating and implementing cloud application
patterns.
(d) Develop and implement ways to move apps and workloads to the cloud.
(e) Work closely with business leads and system owners to understand solution
requirements and identify architectural patterns.
(f) Write and develop cloud automation playbooks for managing and scaling containers,
hosts, cloud services, and applications.

Requirements
(a) Degree/master’s in computer science, Information Technology, Computer
Engineering or equivalent.
(b) Minimum eight (8) years’ experience in providing data warehouse or advanced
analytics solutions.
(c) Experience with
• databases (e.g. Oracle, DB2, MS SQL, MySQL, Teradata, Databricks)
• data repository design (e.g. operational data stores, dimensional data stores,
data marts, datalakes)
• data interrogation techniques (e.g. SQL, NoSQL).
• structured and unstructured data analytics.
• statistical computing programming language (e.g. R, Python).
• data quality tools and processes.
• data transformation and terminology equivalence mapping.

(d) Experience in data modelling for analytics (e.g. star schemas, snowflake schemas).
(e) Deep understanding of analytical models and methodologies – especially in the
context of health analytics for clinical use and clinical safety (e.g. data mining,
predictive analytics).
(f) Experience with data acquisition tools (e.g., ETL, real-time data capture, and change
data capture).
(g) Thorough understanding of ML, data analysis, data visualization, and event-driven
architecture.
(h) Exposure to the development, evolution and adherence to the architectures relevant
to the domain.
(i) Ability to work with a wide variety of report generation software (e.g. Power BI,
Tableau and OBIEE) and generate a wide variety of outputs (dashboards, scheduled
reports).
(j) The ability to work towards strict and conflicting deadlines, be able to plan and
prioritise in an environment with multiple stakeholders.
(k) Good interpersonal skills, a detail-oriented & flexible person who can work across
different areas within the team.
(l) Familiarity or experience with health informatics would be preferred.
(m) An understanding of healthcare data governance, data acquisition and data
management would be an advantage.
(n) Experience in interacting with analytics stakeholders (economists, statisticians,
clinicians, policy makers) on a business or domain level would be preferred.
1.1.3 Cloud Exposure (AWS):
(a) Strong knowledge and practical experience with AWS.
(b) Familiarity with modern cloud application architecture.
(c) Exposure to cloud managed services and microservices like Function as a Service,
Containers, and managed databases.
(d) Experience with setting up load balancers, cloud networks, and virtual servers.
(e) Infrastructure as code (IAC): Cloud formation, terraform.
(f) AWS identity and access management, integration with active directory.
(g) Familiarity with security and access control measures to control privileged access to test
and production environment.
(h) Certification in AWS Cloud Practitioner or AWS Architectation, terraform."

Job Description:

A Databricks Engineer is responsible for leading the migration of on-premises data warehouses to Databricks, designing robust data architectures, and ensuring seamless data integration and governance. The role involves implementing cloud-based solutions, optimizing data workflows, and extracting insights while maintaining data security and compliance standards.

Key Responsibilities:

· Lead end-to-end data migration projects from on-premises environments to Databricks with minimal downtime.

· Design and implement solutions on Databricks within AWS environments, adhering to functional and non-functional requirements.

· Configure Databricks clusters, write PySpark code, and develop CI/CD pipelines for deployment.

· Apply optimization techniques like Z-ordering, auto-compaction, and vacuuming for enhanced performance.

· Process near real-time data using Auto Loader and DLT pipelines.

· Optimize AWS and Databricks resources for performance and cost efficiency.

· Stay updated with advancements in AWS, Databricks services, and data engineering practices to recommend improvements.

· Implement engineering methodologies, standards, and best practices.

Required Skills:

Experience:

· Minimum 5 years in data engineering, with expertise in Databricks, AWS/Azure services, or Informatica IDMC.

Technical Proficiency:

· Strong knowledge of Databricks, Python, PySpark, SQL, and NoSQL databases.

· Hands-on experience with Apache Spark, Hadoop, and cloud-based data architectures.

· Proficiency in building data pipelines using Python, Java, or Scala.

Data Management:

· Expertise in data modelling, schema design, and data governance.

Optimization Skills:

· Familiarity with techniques like Z-ordering and compaction.

Certifications:

· Databricks certifications and Informatica certifications (preferred).

Soft Skills:

· Excellent analytical, problem-solving, communication, and collaboration abilities.

Preferred Skills:

· Experience with containerization and orchestration tools like Docker and Kubernetes.

· Knowledge of data visualization tools like Tableau or Power BI.

· Familiarity with DevOps principles, CI/CD pipelines, and version control systems like Git.

· Understanding of data cataloguing tools and data governance, especially Informatica IDMC.

This role demands a proactive approach to implementing innovative solutions and optimizing workflows to ensure high-performance data engineering.

Salary: up to $6000 + 250 transport + 1.5m completion bonus

Duration: 1 year contract

Working Days & Hours: Mon-Fri Office Hours

Location: Tuas (pickup from Jurong East, Boon Lay, CCK, Woodlands, Tampines, Sengkang, Bishan, Paya Lebar, Yishun)

Job Description:

• • Develop Manufacturing / Operating Instructions and necessary Standard Operating Procedures.
  • Develop, maintain and troubleshoot the process control system recipe / models.
  • Carry out technical assessment for evaluation of processes
  • Investigate, report and troubleshoot findings on both quality and EHS related issues observed during manufacturing or during batch record review.
  • Develop, implement and monitor robust preventive measures for processing issues.
  • Play a pro-active role in ensure the site safety and quality standards are adhered to.
  • Proactively monitor, identify, develop and implement improvements in processes and equipment.
  • Communicate on a regular basis to the plant personnel on process updates.
  • Train the process techincians and fellow process engineers on the process and procedures as required.
  • Own one or more multiple equipment / GMP systems in production and present the system overview with evidence compliance to internal and external auditors.

Job Requirements: Min Degree in Life Sciences/Engineering or similar w relevant internship experience in API plant, preferably from pharmaceutical/chemical industries

Interested candidates, please submit your resume to: [email protected]

Ally Audrey Lok Xin Woon

Recruit Express Pte Ltd (Healthcare & Lifescience)

Company EA Licence number : 99C4599

Personnel EA License: R21102307

[email protected]

Salary: Up to $3150

Duration: 6 months

Location: Redhill

Working Hours: Monday - Friday Office Hours

Job Scope:

• Coordinate with Tenancy and Programming team to implement and execute tenant engagement sessions, placemaking/ programming initiatives

• Support Enabling Village’s Invitation for Programmes and other event organisation matters including coordination with external stakeholders

• Support all other matters such as department administration and scheduling where required

Requirement:

Minimum Diploma/Degree

• Ability to multi-task and stay organised

• Responsible, driven, able to take initiative

• Good team player; able to collaborate with team members and external stakeholders

• Good writing and communication skills

• Experience with design softwares (e.g. Canva) is good to have

Interested candidates, please submit your resume to: [email protected]

Ally Audrey Lok Xin Woon

Recruit Express Pte Ltd (Healthcare & Lifescience)

Company EA Licence number : 99C4599

Personnel EA License: R21102307

[email protected]

Salary: Up to $6K (+ 1.5 months completion bonus)

Duration: 1 Year

Location: Tuas (Islandwide pickup)

Working Hours: 5 day office hours

Key Responsibilities:

• Develop Manufacturing / Operating Instructions and necessary Standard Operating Procedures.
• Develop, maintain and troubleshoot the process control system recipe / models.
• Carry out technical assessment for evaluation of processes.
• Investigate, report and troubleshoot findings on both quality and EHS related issues observed during manufacturing or during batch record review.
• Develop, implement and monitor robust preventive measures for processing issues.
• Play a pro-active role in ensuring the site safety and quality standards are adhered to.
• Proactively monitor, identify, develop and implement improvements in processes

Requirements:

• Minimum Degree in Chemical Engineering / Science with major in Chemistry

Experience in Pharmaceutical/Chemical Plant

Knowledge of GMP

Interested candidates, please submit your resume to: [email protected]

Ally Audrey Lok Xin Woon

Recruit Express Pte Ltd (Healthcare & Lifescience)

Company EA Licence number : 99C4599

Personnel EA License: R21102307

[email protected]

Responsibilities:

- Collaborate with relevant agencies on Levy collection effort and exchange of data/ information

- Investigate discrepancy in payment amount claimed by companies

- Face-to-face/virtual meetings with company representatives to clarify payroll records

- Conduct onsite audit on employers’ payroll records

- Draft and send e-mail response to appeals

- Statistics reporting on number of appeals received and track outcome of appeals

- Handle and process request for refunds

Requirements:

- Diploma or Degree holder

- At least 2 to 3 years of relevant work experience in enforcement or audit is an added advantage

- Excellent communication skills and inter-personal skills to engage employers and other stakeholders

- Effective team player with good communication, analytical and inter-personal skills

- Driven, meticulous and able to multi-task and work independently

- Knowledge related to compliance audit policies, relevant Act and Regulations are an advantage

- Advanced knowledge of Microsoft Excel (such as Vlookup, pivot tables), prior experience in data analysis and sense making of data from systems is a strong advantage

Knowledge

Competent in using MS Office, especially in Ms Excel

People Skill

Good Team Player

Good communication skills for both spoken and written skills

Has initiative, pro-activeness and positive working attitude,

Work Location

5 days week – AMK

Salary Budget - $2.8 - $3.8K (depending on qualification and work experience)

Please submit resumes to [email protected] with the following details in MS Word format:

- Position applying for

- Current remuneration

- Expected remuneration

- Notice period

John Goh Meng Chye

EA License No : 06C4642

EA Reg No : R1102621

We regret that only shortlisted candidates will be notified.

• Innovative Tech: Work with advanced lab equipment and cutting-edge solution
• Career Growth: Opportunities for skill development and professional advancement

About Our Client

Client is a leading provider of laboratory equipment and solutions, specializing in a wide range of scientific instruments, tools, and services for research, testing, and analysis. It serves industries such as pharmaceuticals, biotechnology, life sciences, and academia, offering high-quality products designed to support scientific innovation and advancement.

Job Description

1. ERP Implementation & Management: Lead large ERP projects (SAP, Oracle) and manage the transition to new systems. Oversee integration of ERP solutions across business functions, ensuring smooth migration and alignment with central business objectives.
2. Data Architect: Oversee data collection for analysis and design data architectures, including building data warehouses and managing data leakage prevention. Lead data-driven initiatives and ensure secure, structured data flows.
3. Cloud Migration: Lead the migration to Azure (Microsoft-centric but flexible), ensuring seamless integration and scalability of cloud solutions.
4. IT Roadmap & Budgeting: Develop and manage IT roadmaps, aligning with business goals, and oversee IT budgets to ensure cost-effectiveness and resource allocation.

Soft Skills: Must be hands-on, proactive in driving projects, and skilled in setting up meetings, timelines, and IT initiatives. Strong attention to detail.

The Successful Applicant

This candidate should be someone who can effectively manage both the technical and operational aspects of IT, lead teams, and drive major projects to completion while aligning technology with business outcomes with following tech skills:

• ERP Expertise: Proven experience leading large ERP implementations (SAP, Oracle) and integrations.
• Data Architecture Skills: Strong background in building data warehouses and managing data flows.
• Cloud Migration: Hands-on experience with Microsoft Azure migration projects.

What's on Offer

Opportunities for professional development and advancement within a dynamic, innovative environment with Cutting-Edge Technology.

Contact

Miao Xia Neo (Lic No: R21103441/ EA no: 18C9065)

Quote job ref

JN-112024-6598651

Phone number

+65 6416 9828

Michael Page International Pte Ltd | Registration No. 199804751N

Mastercard is a technology company in the global payments business. We connect consumers, financial institutions, merchants, governments and businesses worldwide and enable them to use secure and convenient electronic forms of payment.

Join the industry’s most passionate, motivated & engaged global team - Our employees are encouraged to drive innovation every day in support of a more connected world – A World Beyond Cash.

Overview
The Data Strategy & Management organization (Chief Data Office) is responsible for the strategy, acquisition, evaluation, and responsible use of all types of data and data capabilities that can be utilized for innovation by a wide range of Mastercard product teams.

The Vice President, Data Strategy, Asia Pacific (AP) will be responsible for understanding the data and AI landscape across the AP region, identifying data needs and implementing appropriate data strategies. The role provides a unique opportunity to work across the different business verticals in the region, understanding how data is used in the region’s specific products and solutions. It requires an individual who is strategic and analytic, who understands data and AI, can network and collaborate across business teams and can communicate complex concepts to various business and technical teams

Key Responsibilities
> Drive data design methodology for new products and services including determining data requirements for new products and enablement of business strategies, documenting Data Briefs, Data Flows, and data material as required by the product management process
> Translate the region’s business strategy into data and AI strategy and related requirements for its customer relations, as well as its products and solutions, and identify related data gaps and required remediation
> Develop frameworks to define parameters of the region’s collective use and disclosure of data, taking into consideration the data, AI, operational, reputational and partner-related requirements for the business
> Translate impacts of new laws and regulations impacting data and AI into required operational and procedural changes to products and services.
> Collaborate with legal, privacy, AI Governance and regulatory teams to review data assets and proposed use cases of data to ensure alignment with policies and procedures
• Serve as a subject matter expert on internal and third-party data to support product development efforts that leverage that data, ensuring data standards and practices are adhered to
• Work with data platforms and TECH teams to define required changes to technology platforms resulting from business strategy and new products
• Develop educational material and provide training as needed on responsible AI, data usage and data literacy
• Serve as an expert to the rest of the organization on Mastercard data and AI capabilities and assets to enable other business units to leverage those capabilities and assets to the extent practical and allowed under relevant laws and licenses.

All About You
• Advanced experience working with data products, either in acquisition, development, governance, or evaluation
• Strong understanding of data analytics and AI / Gen AI
• Ability to communicate to internal and external stakeholders about the value of data; strong written and oral communication skills; ability to present complicated concepts in a clear and concise manner
• Exceptional interpersonal skills with proven experience in relationship building and partnering. Must work well in both team and individual settings and must be able to work with a geographically dispersed team
• Ability to create strategies and plans that define how data and AI can be utilized to support an organization’s overall business strategy, how that data is organized and governed inside an organization
• Motivated self-starter with ability to excel at multi-tasking in a fast-paced environment and comfortable working under your own initiative
• Data management or data analytics experience in the payments industry preferred

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for the position of Research Fellow in the Department of Computer Science, School of Computing. The School of Computing is strongly committed to research excellence in all its dimensions: Searching for fundamental results and insights, developing novel computational solutions to a wide range of applications, building large-scale experimental systems and improving the well-being of society. We seek to play an active role both internationally and locally in the core and emerging areas of Computer Science and Information Systems.

The Research Fellow should possess relevant experience and will be conducting research on Data Security for LLM systems and work on Formal Methods Agents based on LLM.

Only shortlisted candidates will be notified.

Job Requirements

• A PhD degree in Computer Science or related field
• Experience in research and good publication record
• Strong programming skills

To apply, It will be great if you could share your CV to [email protected]. Alternatively, you can apply at https://lnkd.in/gQ7hhN4j

• Support from business stakeholders to invest in data
• Opportunity to lead Business transformation through data

About The Company

Our Client is a market leader within their industry. They have a well-established presence of more than 30 years. With rapid expansion plan, they are now looking for a new Data Analyst / BI Analyst PowerBI SQL MDM ) to join their team.


About the job

• Engaging with business stakeholders, gathering requirements and translating them into technical (analytics) specification. Objective is to create feasible insights to business stakeholders to make informed decisions
• Working with business users (Sales, marketing, Finance/Accounting, Supply chain and etc) to develop reports and dashboards to increase revenue, improve and reduce manual procedures
• Gathering, managing and analysing data from multiple sources to provide insights to business through determining historical demand trends and forecast future demand requirements.
• Manage the global lifecycle of master data processes, including data creation, validation, and deactivation for ERP and CRM systems.
• Develop and enforce data governance policies and procedures for maintaining data in the respective databases.
• Ensure data quality and integrity across all systems.
• Recommend or support process improvements and best practices in data management.
• Perform regular audits and quality assessments of databases.
• Address and resolve data-related issues and discrepancies within the systems.
• Maintain comprehensive documentation for data management processes and policies.
• Oversee data migration and standardization efforts within the organization.

Skills And Experience Required

As a successful applicant, you will have at least 2 years of experience in data analytics/ Business intelligence ( Power BI). Exposure to SQL is required for this role. proven track record in engaging with business stakeholders is required for this role.

Whats On Offer

This is an excellent opportunity to join a leading end user environment with opportunity to engage with senior business stakeholders across Asia. You will have the opportunity to lead business transformation using data within the organisation.

To apply, It will be great if you could share your CV to [email protected]. Alternatively, you can apply at https://lnkd.in/gQ7hhN4j (EA: 94C3609/ R1219669)