VP, Data & AI Governance Specialist, Group Operations COO

About the team

Data Excellence in the Group Ops COO office enables the responsible use of data and AI across Group Operations. Our Responsible Data Use (RDU) framework, built on the PURE principles (Purposeful, Unsurprising, Respectful, Explainable), and robust AI governance underpin how Operations adopts AI while maintaining the trust of customers, employees and communities.

Job Purpose

Support the AI Governance Lead in implementing and operating the AI governance framework for Group Operations, ensuring AI/ML use cases, including Generative AI and third-party models, adhere to enterprise AI governance, RDU policies and regulatory standards. This is a hands-on role that turns policy into practical processes Operations teams can follow.

Key Responsibilities

1. AI Governance and Responsible Data Use (RDU)
   • Support the design, roll-out and maintenance of the Group Operations AI governance operating model, aligned to enterprise requirements and RDU policies.
   • Operate 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.
   • Prepare papers and follow up actions for the Ops RDU Committee, Group RDU Committee, and Ops COO cadence meetings.
   • Work with Use Case Owners, Model Owners, Lead Model Developers and Operations functions to embed governance into daily work.
   • Develop training, guidance and a knowledge base, and follow up on completion of AI governance and PURE training.
2. Centralised AI Process

• Support the Centralised Prompt Management process on the new platform, and contribute to new Group Operations AI processes
• Develop Group Ops AI related new process and governance framework.

1. Team Agents Governance and Enablement
   • Establish and operate the governance and enablement approach for shared Team Agents used by multiple users, including agents deployed through Microsoft Copilot and DBS-GPT.
   • Manage the end-to-end Team Agent lifecycle, including intake, use case assessment, approval coordination, onboarding, controlled deployment, periodic review, change management and retirement.
   • Provide oversight of the end-to-end Team Agent lifecycle and associated controls across Group Operations, covering intake, use case assessment, approval coordination, onboarding, controlled deployment, periodic review, change management and retirement.
   • Operationalize enterprise policies and control requirements for Team Agents across Group Operations, including agent ownership, user access, approved knowledge sources and data, prompt and instruction changes, testing, human oversight and escalation.
   • Partner with Technology to monitor Team Agent adoption, usage, and performance, with clear management reporting and follow-up actions.
2. Data Enablement

• Support data instrumentation and data infrastructure standardisation for key Group Operations projects in productivity and risk management.
• Help explore AI opportunities for operational resilience with the Data Chapter and other Operations units.

1. Reporting and Stakeholders

• Produce clear management information on AI governance status and risks for senior management and committees.
• Build trusted relationships with Operations, Risk, Compliance, Technology and Data teams.

 

Role Requirements

• 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.
• 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).
• Solid grounding in data governance, data lifecycle and value chains, and how they link to business processes.
• Skilled in assessing data-related and operational risks and controls.
• Strong communicator able to influence across a matrix of Operations, Technology, Risk and Compliance.
• Preferred: Bank Operations knowledge, ideally in one or more of Institutional Banking, Consumer Banking, Wealth Management and Financial Markets.
• Preferred: experience working in or alongside Operations functions (e.g. payments, trade, settlement, onboarding or servicing), including operational controls, risk and control assessments, or automation initiatives.

Location:

DBS Asia Central

Job:

Data & AI Governance

Schedule:

Regular

Employee Status:

Full time