Senior VP, Data Products Lead, Innovation Group

Company: 1011 United Overseas Bank Ltd

About UOB

United Overseas Bank Limited (UOB) is a leading bank in ASEAN with a global network in Southeast Asia, Asia Pacific, Europe and North America. Operating through our head office in Singapore and banking subsidiaries in China, Indonesia, Malaysia, Thailand and Vietnam, we have a global network of about 430 branches and offices in 19 markets. At the heart of UOB is our culture, shaped by the UOB Way and anchored on our four values – Honourable, Enterprising, United and Committed. For more than 90 years, these values have guided how we do right by our customers, collaborate with one another and create long-term value for the communities we operate in. As One Bank, we are committed to helping our colleagues build sustainable careers grounded in purpose, supported by strong values, and enriched with meaningful opportunities to grow.

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, issue management, and operational discipline.

Oversee reviews of data usage, user access, service exceptions, control gaps, and remediation actions to minimise operational, regulatory, and data risks.

Balance speed-to-value with strong governance, ensuring data transformation outcomes are scalable, trusted, and sustainable.

Key Skills & Experience

Mandatory Experience

12+ years of experience in enterprise data applications, data transformation, data products, analytics enablement, enterprise platforms, or related leadership roles.

Proven track record leading enterprise-scale data initiatives in banking, financial services, or another complex regulated environment.

Strong experience building or scaling data products, Data-as-a-Service capabilities, self-service data platforms, data discovery services, or enterprise analytics enablement functions.

Demonstrated ability to partner with senior business stakeholders to shape demand, define value cases, prioritise use cases, and drive measurable outcomes.

Strong understanding of data governance, data quality, metadata, lineage, access controls, data risk management, and operational controls.

Proven leadership of cross-functional teams across business, data, technology, governance, and risk domains.

Excellent executive communication skills, with the ability to simplify complex data topics and influence decision-making at senior levels.

Preferred Experience

Experience establishing a Data Products organisation, Data Product CoE, data marketplace, enterprise data catalogue, data discovery platform, or governed self-service data capability.

Exposure to AI, advanced analytics, machine learning, customer analytics, risk analytics, regulatory reporting, or digital banking use cases.

Experience with modern data ecosystems, including cloud data platforms, data lakes, data warehouses, data catalogues, API-based data services, and analytics tools.

Familiarity with product management practices, agile delivery, service management, change adoption, and benefits realisation frameworks.

Leadership Attributes

Transformation-oriented: Able to move the organisation from fragmented data delivery to scalable, product-led enterprise data consumption.

Business value focused: Relentless about linking data initiatives to business outcomes, adoption, and measurable enterprise benefits.

Risk-aware and pragmatic: Balances speed, usability, governance, and control in a regulated banking environment.

Influential communicator: Builds trust with executives, business users, engineers, governance teams, and risk partners.

Builder mindset: Comfortable designing operating models, forming teams, shaping roadmaps, and creating repeatable enterprise capabilities.

Additional Requi