VP, Value Measurement Office, Innovation Enablement, 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 The Value Measurement Office (VMO) is the Bank's central governance and coordination function responsible for measuring, validating, governing and reporting the economic value generated from AI, Data and Digital investments. The VMO also supports AI ROI management, investment governance, benefits realization and Operational Risk value measurement to enable more informed investment decisions and enterprise-wide value optimization. Reporting to the VMO Lead, this role plays a key role in shaping and operationalizing the Bank's enterprise value realization capability for AI, Data and Digital investments. The incumbent will partner across Business, Finance, Risk and Technology functions to establish robust measurement, ROI and governance practices, enabling transparent reporting of business outcomes and supporting data-driven investment decisions. Enterprise Value Measurement, ROI & Attribution • Operationalize the Bank's enterprise AI & Data Value Measurement Framework across AI, Data, Digital and emerging technology use cases. • Support Business Units in defining value charters, business outcomes, baselines, KPIs and measurable financial benefits. • Guide stakeholders in selecting appropriate measurements, attribution and validation methodologies to estimate economic value in a defensible, auditable and repeatable manner. • Review and approve Use Case Charters, assessing the quality of problem statements, experiment design, KPI selection, ROI assumptions and measurement approaches. • Verify source data, assumptions and inputs used in value calculations to ensure reported outcomes can be substantiated and withstand management, audit and regulatory scrutiny. • Support the operationalization of AI & Data ROI methodologies by linking investment decisions, adoption outcomes, realized benefits and Total Cost of Ownership (TCO) into a measurable investment performance framework. • Partner with Business Units, Technology and Finance teams to assess realised value against approved business cases, benefits assumptions and investment objectives. • Analyze value realization trends, cost-to-value performance and investment outcomes to identify optimization opportunities and support strategic decision-making. Validation & Governance • Partner with Business and Group Finance teams to validate assumptions, baselines, attribution logic and measurement outcomes. • Support the application of confidence ratings based on data quality, controls, evidencing standards and repeatability of measurement. • Independently validate outputs, variables and attribution methodologies; conduct sample-based reviews and stress testing of inputs to confirm that measurement approaches have been executed satisfactorily. • Administer and verify allocation logic, attribution methodologies and double-counting controls across use cases and value streams. • Review and challenge business assumptions, financial inputs and benefit calculations to ensure alignment with approved methodologies and enterprise governance standards. • Mediate attribution disputes between Business Units, facilitating resolution in a fair, transparent and evidence-based manner. • Support the development, maintenance and continuous enhancement of SOPs, governance procedures and operating standards related to value measurement, ROI assessment and benefits realization. Operational Risk Value Measurement & Risk Analytics • Support the operationalization of enterprise Operational Risk value measurement methodologies for AI, Data and Digital use cases. • Partner with Risk, Compliance, Finance and Business stakeholders to quantify risk reduction, loss avoidance and control effectiveness generated through AI-enabled interventions. • Support the implementation and maintenance of approved Operational Risk methodologies, including Capital-at-Risk, risk exposure allocation, loss avoidance and other risk quantification approaches. • Collect, validate and analyse operational risk metrics, control effectiveness indicators and risk-related inputs used in value calculations. • Develop implementation guidance, documentation standards and governance controls to ensure consistency, traceability and auditability of risk-related value calculations. • Facilitate the integration of Operational Risk value measurements into enterprise reporting, ROI reporting and management decision-making. Enterprise Value Reporting & Insights • Manage stakeholder expectations and communications with business partners throughout the reporting cycle, ensuring alignment and timely delivery of submissions. • Consolidate and maintain an enterprise view of AI & Data value, AI investment performance, operational risk value, adoption metrics and portfolio-level benefits realization. • Support senior management, PSC, MEC and Board reporting by translating detailed value calculations into concise, decision-relevant insights and recommendations. The PSC material highlights the need for investment decisions supported by value, cost and adoption insights. • Support investment governance activitie…