RAIB Governance Lead Director

McKesson•Irving, TX

About The Position

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve – we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow’s health today, we want to hear from you. Role Summary: The AI Governance Operations Lead ensures that McKesson’s Responsible AI framework is executed consistently across the enterprise. This role operationalizes the governance structures defined by the Enterprise AI Council (EAIC) and the Responsible AI Boards (RAIBs), overseeing intake, triage, risk assessment workflows, quality assurance, documentation, and monitoring aligned with enterprise AI governance standards. The position ensures compliant, transparent, and risk ‑aligned‑ AI adoption across business units.

Requirements

Degree or equivalent experience. Typically requires 12+ years of professional experience and 4+ years of management experience.
Proven experience designing, implementing, and scaling compliance programs for technology organizations
Strong understanding of AI laws, data protection laws and related regulatory frameworks, with the ability to translate regulatory expectations into practical enterprise workflow.
AI/ML Technical Fluency Understanding of AI/ML lifecycle, model validation, monitoring, and documentation.
Familiarity with GenAI/LLM risks (hallucination, prompt injection, etc) +Knowledge of model risk management frameworks and risk‑tiering logic.
Ability to influence senior stakeholders (VP/EVP level) across business units.
Strong change‑leadership skills to drive adoption of governance processes.

Responsibilities

Manage the Enterprise Intake Process: maintain central intake form and routing process to ensure process reliability
Maintain, update, and implement enterprise AI Governance standards, taxonomies, definitions and risk-classification logic as the EAIC continues to develop them. Ensure alignment between AI governance standards and broader enterprise policies
Support Appropriate Routing Intake & Quality of Submissions by validating intake submissions for completeness and ensure proper routing.
Manage enterprise-level exception requests and coordinate routing for EAIC level escalation
Implement EAIC directed process updates; ensure required adjustments to intake logic, workflow, dashboards etc. as directed by the EAIC
Ensuring Operational Reliability: identify, diagnose and resolve technical failures to support consistent governance processes
Conduct trend analysis on AI use case submissions, risk tiers, model types, vendor maturity and recurring issues
Identify systemic risks, gaps or repeated exceptions across RAIBs and escalate them to the EAIC
Maintain repository of approved/flagged AI vendors and relevant risk data
Support EAIC monitoring function by creating enterprise reports, risk trend summaries, and thematic insights.
Maintain dashboards and workflow visibility for RAIB and EAIC leadership, including status updates, approval milestones, and escalations requested by your applicable RAIB
Provide enterprise insights, develop and deliver dashboards and materials that provide enterprise level insights to support EAIC, EOT and RAIB monitoring and decision making.
Coordinate with RAIB leaders, other RAIB Operations Leads, and subject matter experts to ensure coordination and communication across AI Governance landscape.
Develop and maintain training materials, playbooks and guidance for business submitters and RAIB participants as needed.
Deliver or coordinate training or office hours to business teams to ensure intake quality and adoption of governance processes
Create and update role-based training for RAIB members, SMEs and PMOs
Actively participate in the RAIB Operations/Lead community of practice to align processes, develop best practices, and trouble-shoot new and emerging challenges to the AI governance process
Partner with Legal, Compliance, Cybersecurity, Procurement, and other stakeholder teams to socialize governance practices and educate employees who utilize your respective RAIB process