Senior VP, Data Products Lead, Innovation Group

uobgroup; Singapore; On-site; SGD 180,000 - 240,000; Full time

Job summary

United Overseas Bank Limited in Singapore is seeking a senior leader to define and drive the Enterprise Data Products and Data-as-a-Service strategy. You will shape the roadmap, align data services with analytics and regulatory expectations, and build a Centre of Excellence to scale data across the bank.

The role emphasizes collaboration with technology, risk, and business units to ensure secure, governed, and monetisable data products that empower decision making and innovation.

Responsibilities

• Set the enterprise vision and roadmap for Data Products and Data-as-a-Service.
• Define the data product operating model, ownership, lifecycle, governance, and value measurement.
• Shape high‑value use cases with business units and link to owners and measurable outcomes.
• Promote a product‑led mindset across data delivery for reusable, governed data products.
• Lead the enterprise data enablement shopfront, providing data services, training, advisory, and user support.

Job description

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

Key Responsibilities

Enterprise Data Products and Data-as-a-Service Strategy

• Set the enterprise vision, strategy, and roadmap for Data Products and Data-as-a-Service, aligned to business priorities, analytics, AI, digital transformation, and regulatory expectations.
• Define the data product operating model, including product ownership, lifecycle management, prioritisation, governance, delivery standards, service model, and value measurement.
• Shape and prioritise high‑value data product use cases with business units, ensuring every priority use case is linked to a clear business owner, consumption pathway, value hypothesis, and measurable outcome.
• Promote a product‑led mindset across enterprise data delivery, shifting the organisation from project‑by‑project data extraction to reusable, governed, and scalable data products.
• Lead the enterprise data enablement shopfront, providing data services, training, advisory, and user support to make enterprise data easier to find, understand, access, and consume.

Data Product Delivery, Engineering and Operationalisation

• Oversee the engineering, curation, and publication of high‑quality datasets and data products for reporting, analytics, and business decisioning.
• Guide the development of enterprise data models, common definitions, reusable patterns, and controlled data assets to improve consistency, scale, and interoperability across the bank.
• Operationalise data product applications and self‑service consumption channels for business units, ensuring usability, reliability, governance, access controls, and adoption are embedded from day one.
• Partner with technology and platform teams to ensure data products are production‑grade, secure, monitored, well‑documented, and aligned to enterprise architecture standards.
• Provide end‑to‑end data support for strategic initiatives and Innovation Challenge use cases, enabling experimentation while ensuring solutions can scale safely into enterprise adoption.

Data Adoption, Monetisation and Business Value Realisation

• Partner with business units to identify and shape data monetisation opportunities, including revenue growth, customer experience, productivity, risk reduction, operational efficiency, and decision quality use cases.
• Define adoption pathways for data products, including stakeholder engagement, product education, training, communication, change management, and success measurement.
• Establish value tracking disciplines for data products, including usage growth, active consumers, business benefits, turnaround‑time reduction, risk outcomes, and reuse indicators.
• Translate technical data capabilities into business narratives that senior stakeholders can understand, sponsor, and act upon.
• Champion data literacy and capability uplift through structured training, playbooks, communities of practice, and reusable delivery assets.

Centre of Excellence, Delivery Discipline and Capability Building

• Establish and lead a Data Products Centre of Excellence to provide advisory, reusable playbooks, standards, delivery support, adoption frameworks, and governance guidance for enterprise data initiatives.
• Create repeatable methods for use case intake, prioritisation, discovery, business case development, product design, data readiness, operationalisation, and benefits tracking.
• Strengthen delivery discipline across data projects by embedding clear ownership, milestones, risk reviews, dependency management, stakeholder routines, and measurable outcomes.
• Build a high‑performing multidisciplinary team across data product management, data engineering enablement, service management, governance, and business adoption.
• Foster a culture of customer‑centricity, accountability, innovation, reuse, risk awareness, and continuous improvement.

Governance, Risk and Controls

• Embed governance, access management, risk assessment, monitoring, and control requirements into data products, data services, and data discovery capabilities.
• Ensure enterprise data consumption is safe, auditable, well‑controlled, and aligned to regulatory expectations for a banking environment.
• Partner with Risk, Compliance, Security, Legal, Technology, and Data Governance teams to strengthen control design, risk monitoring, is