Responsibilities
* Lead governance for AI solutions across HR + Employee Experience (EX) reporting into the HR/EX Chief Data & Analytics Office (CDAO). Own 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.
* Create and operationalize an 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 with clear visibility into:
o Align AI solutions to job architecture and workforce impact lens.
o During governance reviews, map solutions and the tasks they perform to the job architecture matrix.
o Identify which existing job families/roles may be impacted (task substitution, augmentation, or workflow redesign) and ensure relevant stakeholders are engaged as needed.
o Support clear documentation of operating model impacts, change management considerations, and adoption readiness.
Qualifications
* 7+ years of experience in 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 (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 (intake portals, trackers, structured templates) strongly preferred.
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