VP, Data Products; Enterprise Data Platforms & Discovery), Innovation Group

Company: 1011 United Overseas Bank Ltd About UOB United Overseas Bank Limited (UOB) is a leading bank in Asia with a global network of more than 500 branches and offices in 19 countries and territories in Asia Pacific, Europe and North America. In Asia, we operate through our head office in Singapore and banking subsidiaries in China, Indonesia, Malaysia and Thailand, as well as branches and offices.

Our history spans more than 80 years. Over this time, we have been guided by our values – Honorable, Enterprising, United and Committed. This means we always strive to do what is right, build for the future, work as one team and pursue long‑term success. It is how we work, consistently, be it towards the company, our colleagues or our customers.

Job Description Data Office, Innovation Group Data Office is the Group’s enterprise function responsible for the bank’s enterprise big data analytics platform and for driving data monetization across the bank. Operating within the Innovations Group, Data Office enables the bank to unlock value from data by delivering making data easily accessible and discoverable, while ensuring regulatory compliance and control are embedded into how data is accessed and used.

At the same time, Data Office is responsible to ensure the enterprise data foundation and platform can evolve with new business demands through identifying new capabilities required and delivering these with our technology partners.

Role Purpose The VP, Data Products & Innovation will design, build and deliver the the bank’s enterprise Data Products and Data-as-a-Services. The role will help transform priority data assets into trusted, governed, reusable, and business‑ready data products that enable analytics, AI, reporting, innovation, and measurable value creation across the Group. This role will work closely with business units, data engineering, technology, governance, risk, and innovation teams to translate business needs into scalable data product use cases.

This role will play a key role in shaping product requirements, coordinating delivery, supporting adoption, and ensuring data products are built with the right controls, documentation, usability, and value tracking. The successful candidate will be a hands‑on data and AI transformation professional with strong product thinking, stakeholder engagement skills, banking domain awareness, and the ability to support enterprise data initiatives from ideation through to operational adoption.

• Lead the development and execution of the enterprise Data Products and Data-as-a-Service solutions, aligned to business priorities, analytics, AI, digital transformation, and governance requirements.
• Contribute to the definition of the data product operating model, including product ownership, lifecycle management, prioritization, delivery standards, service support, and value tracking.
• Work with business units to identify, shape, and priorities data product use cases with clear business objectives, consumption needs, adoption plans, and expected benefits.
• Promote reusable, governed, and scalable data products as an alternative to one‑off data extraction and project‑based data delivery.
• Support the enterprise data enablement shopfront by coordinating data services, advisory support, user guidance, and training activities.

• Lead the delivery, curation, and publication of high‑quality datasets and data products for reporting, analytics, AI, and business decisioning.
• Develop the operationalization of data product applications and self‑service consumption channels for business users, ensuring usability, reliability, governance, and access controls are considered.
• Partner with technology and platform teams to help ensure data products are secure, documented, monitored, and aligned to enterprise architecture and data governance standards.
• Provide data product support for strategic initiatives and Innovation Challenge use cases, helping teams experiment with data while preparing scalable pathways for enterprise adoption.