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Company Overview
A leading healthcare organization is seeking an Associate Director for AI Governance to drive responsible AI adoption and oversight. The organization delivers innovative healthcare solutions, focusing on patient outcomes, regulatory compliance, and operational excellence, while integrating advanced analytics, AI, and digital technologies across its enterprise operations.
Summary
The Associate Director, AI Governance, is a key leader responsible for operationalizing the enterprise AI governance strategy. This role ensures AI solutions—including generative AI, predictive models, and vendor-enabled AI—are designed, deployed, and monitored to meet compliance, security, reliability, and risk standards. The position leads governance operations and a core team to maintain accountability, enforce controls, and support responsible AI adoption across the organization.
Responsibilities
Lead end-to-end AI governance operations: intake, triage, risk tiering, review coordination, approvals, decision logging, action tracking, and closure of AI use cases
Translate AI policies into execution via workflows, templates, and checklists (e.g., use case intake, risk assessment, human oversight plans, documentation requirements)
Maintain the enterprise AI inventory/registry, tracking ownership, risk classification, controls, and governance status
Conduct cross-functional forums with agendas, pre-reads, discussion facilitation, and follow-through on decisions
Partner with Risk, Legal, Enterprise Architecture, Procurement, Security, and other groups to align governance checkpoints with enterprise controls
Coordinate with AI CoE, data product owners, and delivery teams to embed governance throughout AI product lifecycles
Oversee governance for third-party/vendor AI tools through intake requirements, due diligence, controls, and ongoing monitoring
Define and report operational KPIs (e.g., throughput, cycle time, exception rates, control gaps) and drive continuous improvement
Prepare and deliver executive-level presentations on AI governance progress, challenges, and strategy
Develop and deliver targeted enablement programs (training, office hours, playbooks) to improve AI governance literacy and adoption
Promote a culture of responsible AI use through collaboration with change management and AI fluency initiatives
Qualifications
10+ years of experience in AI, analytics, data science, AI governance, or related roles
Bachelor’s degree preferred
5+ years of experience in the healthcare industry
5+ years of leadership and people management experience
Deep understanding of AI governance frameworks and operations, including model governance and risk/compliance programs in regulated environments
Experience designing and managing operational workflows, documentation standards, control tracking, and metrics-driven improvement
Proven ability to coordinate cross-functionally across Risk, Legal, Compliance, Privacy, InfoSec, Audit, Data Governance, and delivery teams
Experience with AI/ML lifecycle management, including generative AI and predictive modeling
Knowledge of healthcare data domains: enrollment, claims, provider, clinical, financial data
Experience with cloud-based AI platforms (Google Cloud, AWS) and governance tools
Exceptional executive presence, communication, and collaboration skills
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