Senior VP, Data Products Lead, Innovation Group

United Overseas Bank Limited (UOB); Singapore; On-site; SGD 230,000 - 360,000; Full time

Benefits offered by this job

Equal opportunity employer

Stable banking career

Job summary

United Overseas Bank Limited (UOB) in Singapore seeks a Senior leader to define and drive the Data Products and Data-as-a-Service strategy for the bank. You will own the operating model, governance, and value measurement, partnering with business units to deliver scalable data capabilities and monetisation opportunities.

You will lead a cross-functional team across data engineering, platform teams, governance, and risk, ensuring secure, production-grade data products and strong stakeholder

Qualifications

• 12+ years of experience in enterprise data applications or related leadership roles.
• Proven track record leading enterprise-scale data initiatives in banking, financial services, or regulated environments.
• Strong experience building or scaling data products, data-as-a-service capabilities, or self-service data platforms.
• Demonstrated ability to partner with senior stakeholders to shape demand, define value, and drive outcomes.
• Strong understanding of data governance, quality, metadata, lineage, and risk controls.

Responsibilities

• Set the enterprise vision, strategy, and roadmap for Data Products and Data-as-a-Service.
• Define the data product operating model, ownership, lifecycle, governance, and value measurement.
• Prioritize high-value data product use cases linked to owners, pathways, and measurable outcomes.
• Promote a product-led mindset and drive reusable, governed data products across the bank.
• Lead the data enablement shopfront with services, training, and user support.
• Oversee engineering, curation, and publication of high-quality datasets for analytics and decisioning.
• Develop enterprise data models, definitions, and reusable patterns for consistency and scale.
• Operationalise data product apps and self-service channels with governance and adoption baked in.
• Partner with technology to ensure production-grade, secure, well-documented data products.
• Provide end-to-end data support for strategic initiatives and scalable enterprise adoption.
• Identify data monetisation opportunities and define adoption pathways and success metrics.
• Establish and lead a Data Products Centre of Excellence with standards and governance guidance.
• Build a multidisciplinary team across data product management, engineering enablement, governance, and adoption.
• Foster a culture of customer-centricity, accountability, innovation, reuse, and continuous improvement.

Skills

Data leadership

Data products

Stakeholder management

Executive communication

Data governance

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, 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 Requirements

Be a Part of the UOB Family

UOB is an equal opportunity employer. UOB does not discriminate on the basis of a candidate's age, race, gender, color, religion, sexual orientation, physical or mental disability, or other non-merit factors. All employment decisions at UOB are based on business needs, job requirements and qualifications. If you require any assistance or accommodations to be made for the recruitment process, please inform us when you submit your online application.