Head of AI Governance  Vice President

TheHead 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 funnelfrom intake and triage of data/AI use cases through cross-functional review forums to final disposition and ongoing tracking / audit ensuring solutions arefit-for-purpose compliant scalable and aligned to business value. The role will operate a broaderAI Governance Forum partnering closely withCDAO AI & Data ScienceCDAO AI Evaluation & TestingFinance Business Management Compliance/ Risk/ Controls/ Legal andHR/EX Product Management.

Job Responsibilities

• Stand up and run an AI Governance Forum

• Create and operationalize a broaderAI governance cadencecovering new and evolving AI solutions (build/buy/partner).

• Orchestrate cross-functional governance execution

• Act as the quarterback across stakeholders toshepherd reviews to completionand prevent stalled decisions.

• Establish expectations onroles & 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 thetasks they performto thejob 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 ofoperating 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 governancewithin a large regulated organization.

• Demonstrated success building and runningcross-functional governance forumsand managing complex approval workflows.

• Working knowledge ofAI/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 skillsable 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.