Our Client Currently looking for VP, AI Risk & Governance

Key Responsibilities

• Lead day-to-day execution of the AI governance approval process, including risk-based review, challenge, escalation, and alignment to enterprise risk appetite and responsible AI principles.
• Provide credible second-line challenge and thought leadership to senior stakeholders on acceptable use, control requirements, and mitigation strategies for AI risks.
• Translate risk appetite and regulatory expectations into actionable governance requirements and control expectations.
• Identify and assess novel, emerging, and cross-cutting risks arising from AI.
• Drive strategic improvements to financial and non-financial AI risk and governance processes, including transparency, efficiency, operating model design, and reporting.
• Help implement the strategic vision for AI risk management, including scalable governance, stronger risk identification, and monitoring capabilities.
• Partner with control functions and business teams to embed effective controls across the AI lifecycle.
• Operationalize risk-based integration across governance processes at the workflow and control level.

Required Qualifications

• 12+ years’ risk management experience within financial services or regulated industry.
• Deep understanding of AI technologies and associated risks, including machine learning, generative AI, agentic AI, model risk, and data risk, along with their application to business processes and systems.
• Proven experience designing, implementing, and enhancing enterprise governance frameworks, policies, standards, and approval processes.
• Demonstrated success operating within complex, highly matrixed organizations and influencing senior stakeholders across functions.
• Exceptional strategic thinking, judgment, problem-solving, and executive communication skills with the ability to identify emerging and regulatory issues and translate them into practical governance actions.
• Strong knowledge of regulatory, governance, and control expectations related to AI, models, data, and responsible AI practices.
• Bachelor’s degree required.

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