SVP/VP, Group Audit - AI Assurance (Consumer Banking)

About the role

Group Audit provides independent assurance on the effectiveness of risk management, governance and internal control processes for the DBS Group. This role leads or supports audit coverage of the Bank's AI, Generative AI and Agentic AI ecosystem, giving assurance over AI governance, risk management, control frameworks and operational guardrails across the AI lifecycle. It works closely with Technology, Cyber Security, Data, Model Risk and Business Audit teams, and drives the development of AI audit methodologies and capabilities.

Key responsibilities

• Lead and execute audits of the AI, GenAI and Agentic AI ecosystem across business, technology, operations and support functions.
• Assess governance structures, accountability frameworks and risk ownership across L1, L1.5 and L2, including the design and operating effectiveness of AI-related controls.
• Review controls over use case approval, development, deployment, monitoring and change management, identifying gaps and improvement opportunities.
• Partner with Technology, Cyber Security, Data, Model Risk and Business Audit teams to deliver coordinated, risk-based AI assurance.
• Develop and enhance AI audit methodologies, testing approaches, programmes and assurance frameworks.
• Serve as the AI audit subject matter expert, training and coaching audit teams on AI governance, risks, controls and audit techniques.
• Communicate key audit observations, emerging risks and industry developments to senior management and audit leadership, and advise on AI-related risk assessments and audit planning.
• Monitor AI, GenAI and Agentic AI technologies, industry standards and regulatory expectations, and refine the AI audit strategy and coverage.

Required profile

• Bachelor's degree in computer science, information technology, engineering, data science, risk management, accounting or a related quantitative discipline.
• At least 10 years of experience in internal audit, technology risk, data governance, model risk management, AI risk or related control functions, preferably in financial services.
• Professional certifications such as CIA, CISA or CRISC are advantageous; AI-related certifications or formal AI training are preferred.
• Demonstrated experience coaching teams, driving knowledge sharing and building AI audit capabilities.

Required skills

• Strong understanding of AI governance, risk management, controls and AI lifecycle management.
• Good understanding of technology, cyber security, data management, model risk management and AI regulatory expectations.
• Strong analytical, problem-solving, communication and stakeholder management skills, able to translate complex technical concepts into business insights.
• Ability to influence and lead complex, cross-functional assurance reviews.