AI Governance Operations Lead Director - RAIB

McKesson•Irving, TX

5d•$152,800 - $254,600

About The Position

Are you passionate about ensuring AI is deployed responsibly, ethically, and at scale? Join McKesson as an AI Governance Operations Lead (Director), where you will play a critical role in operationalizing enterprise-wide AI governance and driving responsible AI adoption across business units. This is a high-impact leadership role at the intersection of AI, compliance, risk, and enterprise operations, partnering closely with senior leaders, governance boards, and cross-functional teams. You will help build, scale, and continuously improve governance frameworks that ensure transparency, accountability, and compliance across AI initiatives. As the AI Governance Operations Lead, you will ensure 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 plays a key role in ensuring compliant, transparent, and risk-aligned AI adoption across business units. If you thrive in a fast-paced environment, enjoy influencing senior stakeholders, and want to be at the forefront of enterprise AI governance, we’d love to hear from you.

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