HR Chief Data Office - AI Governance Lead - Executive Director

Are you passionate about responsible AI and risk management? Join us to shape the future of AI governance in HR, drive adoption of innovative frameworks, and ensure robust oversight of AI use cases. Collaborate with cross-functional teams and make a meaningful impact on employee experience and firmwide AI strategy.

As an Executive Director - HR Chief Data Office, AI Governance Lead in our HR and Employee Experience Data Risk Management team, you will lead the implementation and adoption of AI risk governance frameworks. You will partner with Technology, Legal, Privacy, Model Risk, and enterprise AI governance teams to ensure consistent case evaluation, regulatory alignment, and oversight of AI use cases affecting employees and workforce processes. This high-visibility role offers the opportunity to modernize review processes, uplift model testing capabilities, and drive compliance with emerging AI regulations.

Job responsibilities

• Lead implementation and adoption of AI risk governance frameworks, including education, use criteria, procedures, and operational readiness.
• Drive consolidation, remediation, and end-to-end review of HR AI cases, establishing consistent intake, triage, and evidence standards.
• Manage and improve AI case governance operations, including forums and coordination with firmwide AI governance bodies.
• Oversee compliance with emerging AI regulations and develop model testing capabilities for bias, harm, fairness, and other risk dimensions.
• Develop, maintain, and report key AI governance metrics, including incidents, time-to-feasibility, and production readiness.
• Partner with Technology, Legal, Privacy, Model Risk, Data Owners, Controls, and enterprise AI governance to ensure policy alignment.
• Lead communication, stakeholder engagement, and change-management activities to drive understanding and adoption of AI governance models.
• Provide leadership, coaching, and oversight to case managers and analysts, ensuring consistent governance and high-quality risk assessments.
• Prepare and deliver executive-level dashboards, risk updates, and materials for senior leadership and governance committees.

• Demonstrated success managing and improving risk-related governance processes, ideally AI-focused or in a technical risk area.
• Experience using metrics to quantify and evaluate governance process effectiveness.
• Strong stakeholder management and communication skills, with experience presenting complex risk issues to senior leadership.
• Ability to manage and differentiate among multiple risk types, including AI bias, privacy, commercial, reputational, and operational risks.
• Experience developing or establishing risk governance processes from the ground up.
• Comfort with AI/ML concepts, including model development, validation, deployment, and root-cause analysis of AI-related incidents.
• Experience leading, coaching, or quality-controlling the work of case managers or analysts responsible for risk evaluation.

• AI or model governance experience in financial services or other regulated industries.