AI Compliance, Conduct and Operational Risk - Vice President

Job Responsibilities

• Develop AI risk management subject matter expertise and deliver such expertise in support of CCOR and the firm.
• Assist in providing oversight and credible challenge of the CDAO AI function as it drives AI strategy, governance, and enablement for the firm.
• Assist with oversight and challenge of firmwide AI governance and risk management, including the effectiveness of controls, monitoring, and escalation.
• Assess and challenge integration-driven risks for AI-enabled platforms, focusing on governance for new tools/connectors and the effectiveness of guardrails, access, monitoring, and escalation.
• Support the CDAO AI function's efforts to prepare for and engage in regulatory supervision, including the EU AI Act, and assist CCOR firmwide with other AI-focused regulatory supervision.
• Help implement new laws, regulations, policies, and industry frameworks (e.g., NIST), while supporting effective change and innovation in a controlled manner.
• Support and challenge AI change management and innovation for core AI products, including governance expectations, control readiness, and rollout considerations.
• Identify and address emerging risks, including regulatory developments, external geopolitical and market events giving rise to compliance and operational risks, and process/control gaps that may create conduct risk.
• Drive risk management and conduct culture within the CDAO AI groups.
• Oversee, advise on, and challenge issue remediation quality, timeliness, and evidence of sustainability.

About the Role

The role supports the independent second line coverage of the Central Data & Analytics Office's (CDAO) AI initiatives and provides horizontal support to the Line of Business (LOB), Corporate Function, and Regionally-aligned CCOR groups. Reporting to the Head of AI, CCOR, the role involves supporting CDAO's firmwide AI initiatives, core product development, and governance.

Required Qualifications, Capabilities, And Skills

• Relevant experience with AI and other innovative technology risk management, governance, or enablement—particularly in environments undergoing rapid product change.
• Proven ability to collaborate effectively and communicate with team members, including senior management and partners, while maintaining independence and effective challenge.
• Significant experience with or demonstrated capability to learn, risk management principles and techniques, including assessing control design and operational effectiveness.
• Previous client-facing experience with superior oral and written communication and counseling skills.
• Exceptional analytical, issue-spotting, problem-solving abilities, including translating complex technical topics into clear risk decisions.
• Proven intellectual curiosity, capability to learn quickly, and the ability to prioritize and manage multiple competing demands across a global business.