Citi is looking to provide independent oversight and authoritative approval for all AI use cases across the enterprise, ensuring responsible AI adoption while balancing innovation and risk management in a dynamic and often unregulated global landscape.
Requirements
- Demonstrated deep subject matter expertise in Artificial Intelligence, including current and emerging technologies and their specific risk implications within a financial services context.
- Proven track record of scaling large, complex AI or technology initiatives from concept through to production and continuous improvement.
- Deep subject matter expertise in critical AI risk areas, including model fairness and bias, explainability, data privacy, AI security, LLMs, and Agentic AI
- Proven ability to provide decisive, independent challenge to senior leadership and influence strategic outcomes in a principles-based manner.
- Analytical Thinking
- Risk Controls and Monitors
- Risk Identification and Assessment
Responsibilities
- Act as the primary 2LOD approval authority for all AI use cases firm-wide, owning the aggregate risk posture of the AI portfolio.
- Provide decisive, independent challenge on all AI initiatives, from strategy and design through execution and post-production monitoring, grounded in deep technical expertise.
- Leverage deep subject matter expertise in critical AI risk areas, including model fairness and bias, explainability, data privacy, AI security, LLMs, and Agentic AI, to assess and mitigate novel risks, ensuring all use cases are robust and compliant.
- Conduct thematic reviews to identify emerging risk trends and ensure the control environment remains effective as AI technology evolves.
- Drive the execution and continuous refinement of the AI Risk Management Framework, adapting processes to meet evolving technological and regulatory demands.
- Define, monitor, and report on Key Performance and Risk Indicators (KPIs/KRIs) to govern progress and ensure the realization of committed business value.
- Ensure governance frameworks are applied consistently across all teams and that changes to AI use cases are rigorously reviewed and approved throughout their lifecycle.
Other
- 15+ years of experience in a large, complex financial institution, regulatory body, or related field.
- A minimum of 10 years in a senior leadership role within risk management, audit, model governance, or technology risk, with direct experience in AI deployment and oversight.
- Demonstrated success leading high-performing, multi-disciplinary teams and driving change in a complex, global organization.
- A track record of operating effectively in high-pressure, fast-paced environments, demonstrating resilience and sound judgment under ambiguity.
- Serve as the primary AI risk advisor to senior leaders and business/function heads, articulating complex risk exposures to influence strategic decisions.
