Assistant Senior Manager/Senior Manager (Data Products)

National University of Singapore; Singapore; On-site; SGD 70,000 - 95,000; Full time

Job summary

A leading research university in Singapore is seeking a Senior Data Products Analyst to oversee the development of data products and ensure data quality. You will lead workshops, manage data governance initiatives, and collaborate with technical teams. The position requires a Bachelor's degree in IT or a related field along with 5+ years of experience. Join a dynamic team that values innovation and continuous improvement.

Benefits

Flexible work arrangements

Competitive remuneration

Qualifications

• 5+ years of experience in data analysis, governance, or product management.
• Experience leading data workshops and writing clear data requirements.
• Knowledge of data governance, taxonomy, metadata, and lineage.

Responsibilities

• Lead workshops to gather and translate business data needs into specifications.
• Develop and maintain the university's data taxonomy.
• Design and execute validation plans for data accuracy.

Skills

Data analysis

Data governance

Project management

Analytical thinking

Problem-solving

Communication skills

Education

Bachelor's degree in IT or related field

Tools

Microsoft Purview

IDMC CDGC

Microsoft Fabric

Job description

Company description:

The National University of Singapore is the national research university of Singapore. Founded in 1905 as the Straits Settlements and Federated Malay States Government Medical School, NUS is the oldest higher education institution in Singapore

Job description:

About NUS IT

NUS Information Technology is the cornerstone to providing reliable, high-performance and secure IT solutions and effective IT governance for the campus. Here at NUS IT, we aim to transform NUS into a borderless computing community providing knowledge at its fingertips by enhancing the use of effective applications and services for teaching and learning.

We drive a culture that is forward-looking. With a strong passion for IT, our people are always striving to improve, push boundaries and innovate with a "can-do" attitude. We embrace collaboration, open communication and knowledge sharing. If you see yourself thriving in a dynamic environment and breaking new grounds with innovative ideas, you will find yourself at home in NUS IT.

As part of our team, you can look forward an empowered work environment that allows you to take charge of your own career path. We provide competitive remuneration as well as flexible work arrangements to enable your growth and development. We pride ourselves on our diverse workforce and are committed to transforming NUS into a leading global University shaping the future.

https://nusit.nus.edu.sg/

Job Description

The Data Products Team in NUS IT serves as the key liaison between business and technical teams. The team oversees, drives, and manages the development of data products such as the Data Lakehouse, Operational Data Store, MDM Hub, Data Catalog, Data Marketplace, and other foundational technologies, with additional data products planned for the future.

As a Senior Data Products Analyst, you will be responsible for leading data requirements workshops, drafting data requirement specifications, developing data taxonomy and catalog artifacts, validating the quality of data products, and taking on project management responsibilities when needed. You will also play a critical role in establishing partnerships with data stewardship teams, understanding data landscapes, and guiding stakeholders to access and utilize the right data to achieve their business objectives.

Duties and Responsibilities

Data Requirements
• Lead and facilitate workshops to gather and translate business data needs into clear, well-defined data requirement specifications
• Ensure captured data requirements are properly documented and aligned with data architecture and technical solutions
• Assess data source availability and quality, identifying gaps, risks, and dependencies with technical teams

Data Taxonomy and Catalog
• Develop and maintain the university's data taxonomy in collaboration with business and IT teams
• Ensure the accuracy and completeness of the data catalog by working with data stewards and subject matter experts
• Promote catalog adoption and keep data catalog up to date by aligning it with changes in governance standards and data sources

Data Validation
• Design and execute validation plans to ensure accuracy, completeness, and consistency of data products
• Perform data quality checks, document results, and coordinate issue resolution with relevant teams
• Continuously improve QA processes and support enforcement of data quality standards

Project Management
• Manage data products and governance initiatives, ensuring timely delivery and quality outcomes
• Coordinate cross-functional teams and facilitate regular communication with stakeholders
• Align business goals with technical solutions, managing project risks and scope changes effectively

Qualifications

• Bachelor's degree in IT, Analytics, or a related field, with 5+ years of experience in data analysis, governance, or product management
• Hands-on experience leading data workshops and writing clear data requirements
• Strong knowledge of data governance, taxonomy, metadata, and lineage
• Hands-on experience collaborating with business to build data taxonomy and catalog
• Skilled in data validation, including testing and fixing data issues
• Familiarity with data catalog tools (preferably Microsoft Purview or IDMC CDGC) and data platform technologies (preferably Microsoft Fabric)
• Knowledge of data lakehouse methodologies and best practices
• Strong analytical thinking, problem-solving, and communication skills, able to clearly articulate complex requirements and issues to stakeholders at all levels
• Self-starter and proactive team player, highly organized, meticulous, and able to work independently with minimal supervision while maintaining a positive attitude

More Information

Location: Kent Ridge Campus

Organization: NUS Information Technology

Department : Applications - Applications Architecture & Technology

Employee Referral Eligible: Yes

Job requisition ID : 29721