RAIB Governance Lead Director

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: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.Key Responsibilities:Manage the Enterprise Intake Process: maintain central intake form and routing process to ensure process reliabilityMaintain, 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 policiesSupport 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 escalationImplement EAIC directed process updates; ensure required adjustments to intake logic, workflow, dashboards etc. as directed by the EAICEnsuring Operational Reliability: identify, diagnose and resolve technical failures to support consistent governance processesConduct trend analysis on AI use case submissions, risk tiers, model types, vendor maturity and recurring issuesIdentify systemic risks, gaps or repeated exceptions across RAIBs and escalate them to the EAICMaintain repository of approved/flagged AI vendors and relevant risk dataSupport 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 RAIBProvide 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 processesCreate and update role-based training for RAIB members, SMEs and PMOsActively 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 processPartner with Legal, Compliance, Cybersecurity, Procurement, and other stakeholder teams to socialize governance practices and educate employees who utilize your respective RAIB processMinimum Requirements Degree or equivalent experience. Typically requires 12+ years of professional experience and 4+ years of management experience.Critical Skills Proven experience designing, implementing, and scaling compliance programs for technology organizationsStrong 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.We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here.Our Base Pay Range for this position$152,800 - $254,600McKesson has become aware of online recruiting-related scams in which individuals who are not