Head of AI Governance -Vice President

The Head of AI Governance (Vice President) will lead governance for AI solutions across HR + Employee Experience (EX), reporting into the HR/EX Chief Data & Analytics Office (CDAO). This role owns the end-to-end governance "funnel"-from intake and triage of data/AI use cases, through cross-functional review forums, to final disposition and ongoing tracking / audit-ensuring solutions are fit-for-purpose, compliant, scalable, and aligned to business value. The role will operate a broader AI Governance Forum, partnering closely with CDAO AI & Data Science, CDAO AI Evaluation & Testing, Finance Business Management, Compliance/Risk/Controls/Legal, and HR/EX Product Management.

Job Responsibilities

• Stand up and run an AI Governance Forum

• Create and operationalize a broader AI governance cadence covering new and evolving AI solutions (build/buy/partner).

• Orchestrate cross-functional governance execution

• Act as the "quarterback" across stakeholders to shepherd reviews to completion and prevent stalled decisions.

• Establish expectations on roles & responsibilities, SLAs, escalation paths, and required review checkpoints.

• Build governance transparency and workflow tooling ("pizza tracker")

• Implement a governance "pizza tracker" to provide product managers and stakeholders clear visibility into:

• Align AI solutions to job architecture and workforce impact lens

• During governance reviews, map solutions and the tasks they perform to the job architecture matrix.

• Identify which existing job families/roles may be impacted (task substitution, augmentation, or workflow redesign) and ensure relevant stakeholders are engaged as needed.

• Support clear documentation of operating model impacts, change management considerations, and adoption readiness.

Required qualifications, capabilities, and skills

• 7+ years of experience in one or more of: data governance, AI governance, risk management, compliance, controls, product governance, or technology governance within a large, regulated organization.

• Demonstrated success building and running cross-functional governance forums and managing complex approval workflows.

• Working knowledge of AI/ML lifecycle concepts (model development, evaluation/testing, deployment, monitoring) and associated governance considerations.

• Strong understanding of data use risk domains (e.g., privacy, security, third-party risk, data classification, retention, access controls), and ability to translate into pragmatic governance processes.

• Exceptional stakeholder management skills-able to influence without authority, drive closure, and handle competing priorities.

• Strong program management discipline: structured thinking, documentation rigor, operational cadence, and metrics-driven execution.

• Experience designing workflow tooling / automation (e.g., intake portals, trackers, structured templates) strongly preferred.