VP, AI & Data Assurance

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 This role provides independent Line 2 oversight of the Bank’s AI and data risks, ensuring effective enterprise-wide governance across the AI and data lifecycle through robust frameworks, policies and standards aligned to regulatory and ethical expectations. It delivers independent challenge, assurance and risk insights to senior management and the Board, while supporting responsible AI adoption and consistent application of Group standards. Key Responsibilities AI Assurance Risk Oversight Support the development, implementation and continuous enhancement of the Group’s AI and data governance frameworks, policies and standards, ensuring alignment with regulatory requirements, industry best practices and Responsible AI principles. Define and operationalise the enterprise AI use case inventory, establishing clear governance, ownership and consistent understanding across all stakeholder groups. Perform independent Line 2 challenge and review of AI use cases and inventory submissions to ensure compliance with applicable AI risk management requirements. Assess adherence to AI governance requirements across the lifecycle, including risk identification, materiality assessment, control design and ongoing monitoring. Support monitoring, reporting and escalation of key AI risk metrics and governance outcomes to senior management and relevant committees/forums. Contribute to the operationalization of FEAT principles, including independent validations and challenge of e Fairness, Ethics, Accountability and Transparency requirements. Drive enterprise-wide AI risk awareness and adoption through structured training, briefings and stakeholder engagements. Champion responsible AI adoption, balancing effective risk