Associate Director/Senior Manager (Data Product)

Job Title: Associate Director/Senior Manager (Data Product) University-Level Unit: NUS Information Technology Faculty/Department-Level Unit: Applications - Applications Architecture & Technology Employee Category: Executive & Administrative Location_ONB: Kent Ridge Campus Posting Start Date: 30/04/2026 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

As a Data Product Manager focusing on data enablement, you will drive the roadmap, delivery, and adoption of enterprise data platform that enable producers to build and govern trusted data products, and consumers to discover and consume AI-ready data products through self-service analytics and AI capabilities.

Duties and Responsibilities

Roadmap

• Define enterprise data platform capabilities roadmap.
• Drive implementation of platform capabilities enabling data producers to build, govern, catalog, and manage lineage of their data products.
• Drive implementation of platform capabilities enabling data consumers to discover, subscribe to, and consume trusted data products through self-service analytics and AI capabilities.

Capability Alignment

• Collaborate with product, engineering, governance, analytics, and business teams to align platform capabilities with enterprise use cases and delivery priorities.
• Drive AI-ready platform capabilities supporting governance, metadata, lineage, semantic search, AI-assisted discovery, AI-generated documentation, and trusted AI/chatbot interaction with enterprise data products.
• Actively leverage AI-assisted tools and workflows to improve platform delivery, governance enablement, analysis, documentation, and stakeholder engagement.
• Ensure platform and AI-enabled consumption capabilities align with trusted, certified, and reusable enterprise data products.

Experience & Adoption

• Define and improve the end-to-end user experience for data owner, product, governance, and consumer teams, ensuring usability, accessibility, trust, and adoption.
• Drive enterprise adoption and awareness of platform capabilities through enablement, engagement, onboarding, training, and stakeholder outreach initiatives.
• Define and track adoption, usability, and value delivery metrics to continuously improve platform effectiveness and user experience.

Lifecycle Management

• Manage the lifecycle of platform capabilities from ideation and prioritisation through delivery, enhancement, and deprecation.
• Drive requirements definition, backlog prioritisation, release planning, and delivery coordination using Agile methodologies.
• Coordinate delivery of platform initiatives with data engineering teams and technology partners, ensuring timely, high-quality outcomes aligned with roadmap priorities and business objective