About The Position

You will partner with the Second Line of Defense to refine the AI Lifecycle Risk Framework, serving as the primary 1LOD business authority to ensure that every AI use case, across all Lines of Business, is rigorously risk-assessed, aligned with corporate risk appetite, and approved via a streamlined end-to-end governance process. You'll serve as the authoritative 1LOD voice in shaping the technology roadmap for AI safety capabilities, ensuring that automated controls, monitoring systems, and protective measures reflect real-world business needs and regulatory expectations. Your collaboration will directly influence how technical teams implement model governance, bias detection, output validation, and other critical safety features across our AI platforms. In addition, you would work with 3rd party AI vendors to ensure responsible use of AI technology across the firm. You will drive the business requirements for automated governance, partner with Technology to ensure that real-time monitoring of model performance, fairness, and compliance is embedded into business processes and controls, providing transparent risk visibility to Business Heads, Risk Officers, and Regulators alike. 1LOD Risk Partnership & Culture: Foster a unified risk culture across the enterprise by partnering seamlessly with Independent Risk (2LOD) and Internal Audit (3LOD) to identify and remediate control gaps.

Requirements

  • AI Experience: 5+ years of demonstrable AI experience, including Generative AI, Machine Learning, and Agentic AI.
  • Risk Experience: 10+ years in Risk Management, Technology Strategy, or Regulatory Compliance within a large global financial institution (G-SIB), or a blend thereof.
  • Business-Technology Bridge: Proven ability to translate complex business and regulatory requirements into precise technical specifications, influence technology roadmaps with strategic foresight, and drive the adoption of robust solutions.
  • Governance Leadership: Proven track record of designing and implementing enterprise-wide governance frameworks (e.g., SDLC, MRM) and driving their successful adoption across complex, matrixed organizations.
  • Technical Fluency: Exceptional command of the Generative AI landscape (LLMs, Agents) and the specific compliance challenges they present (Hallucinations, IP rights, Bias), addressing critical areas such as ethical use, data privacy, explainability, and societal impact. Ability to lead the Agentic AI strategy from a comprehensive risk governance perspective.
  • Regulatory Stature: Extensive experience driving high-stakes conversations with regulatory bodies, proactively shaping internal policy responses, and actively contributing to external regulation.
  • Operational Execution: Demonstrated ability to build end-to-end operational capabilities, defining clear metrics (KPIs/KRIs) and optimizing operational flows.
  • Thought Leadership: A strong portfolio of relevant publications or presentations, demonstrating thought leadership on enterprise AI risk management.
  • Education: Bachelor's degree required

Nice To Haves

  • Master's/MBA in Business, Degree in Engineering, Policy, Law, or Risk Management preferred.
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