VP, Data & AI Governance Specialist, Group Operations COO

About the role

The Data & AI Governance Specialist supports the AI Governance Lead in implementing and operating the AI governance framework for Group Operations within the Group Operations COO office. The role ensures AI/ML use cases, including Generative AI and third-party models, comply with enterprise AI governance, Responsible Data Use (RDU) policies and regulatory standards. It is a hands-on position that turns policy into practical processes, based on the PURE principles (Purposeful, Unsurprising, Respectful, Explainable).

Key responsibilities

• Support the design, rollout and maintenance of the Group Operations AI governance operating model, aligned to enterprise requirements and RDU policies.
• Run the AI use case and model review, approval and retrofit processes, applying baseline and enhanced governance in proportion to risk.
• Drive adherence to the PURE principles across Group Operations use cases and prepare papers and follow-up actions for the RDU Committees and the Ops COO cadence meetings.
• Work with Use Case Owners, Model Owners, Lead Model Developers and Operations functions to embed governance in daily work, and develop training, guidance and a knowledge base.
• Support the Centralised Prompt Management process and help build new Group Operations AI processes and governance framework.
• Set up and run governance and enablement for shared Team Agents (including Microsoft Copilot and DBS-GPT), managing the full lifecycle from intake to retirement, and enforce controls such as ownership, access, approved knowledge sources, testing and human oversight.
• Partner with Technology to monitor Team Agent adoption, usage and performance, and support data instrumentation and infrastructure standardisation for key projects.
• Produce management information on AI governance status and risks for senior management and committees, and build relationships with Operations, Risk, Compliance, Technology and Data teams.

Required profile

• 8 to 12 years of experience in data governance, AI governance, risk management or a related field in financial services.
• Experience implementing or operating governance frameworks and controls for data or AI solutions.
• Solid grounding in data governance, data lifecycle and value chains linked to business processes.
• Strong communicator able to influence across a matrix of Operations, Technology, Risk and Compliance.
• Preferred: bank operations knowledge (Institutional Banking, Consumer Banking, Wealth Management, Financial Markets) and experience in Operations functions such as payments, trade, settlement, onboarding or servicing.

Required skills

• Good understanding of Generative AI and Agentic AI, their risks and opportunities.
• Working knowledge of regulatory requirements and best practice for AI governance (e.g. MAS FEAT principles).
• Skilled in assessing data-related and operational risks and controls.