Lead Program Manager, Oncology and Multi Specialty Technology Strategy

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.

Summary   The Lead Program Manager, Oncology and Technology Strategy leads the operational delivery and continued maturation of McKesson's Responsible AI Board (RAIB) governance program within the Oncology and Technology Strategy organization. The role translates Responsible AI policy, RAIB Charter requirements, and business priorities into an executable   program   roadmap, governance structure, operating cadence, service-level expectations, and measurable outcomes.   Partnering with business and technology leaders, Responsible AI Owners, Legal, Compliance, Privacy, Information Security, Architecture, Data, and other control functions, this role manages the full AI Use Case lifecycle across multiple related governance activities. The Lead Program Manager drives cross-functional alignment, manages program-level risks and dependencies, resolves escalated issues, and   maintains   visibility into portfolio health, decision quality, control implementation, and ongoing monitoring.   This is a hands-on program leadership role with accountability for program outcomes rather than only process administration. Success requires the autonomy to lead complex work, influence without direct authority,   establish   scalable standards, challenge inefficient ways of working, and use analytics and automation to strengthen executive decision-making.

Program Leadership and Strategic Alignment   Break down Responsible AI program   objectives   into measurable business and technology   outcomes, and   maintain a program roadmap that translates governance requirements into executable plans, milestones, deliverables, and success measures.   Lead the end-to-end AI Use Case governance lifecycle across intake, triage, RAIB Operations quality review, RAIB and EAIC review, final decision, control implementation, and ongoing monitoring.   Partner with program sponsors and senior stakeholders to align governance priorities, secure support, resolve high-visibility issues, and ensure the program continues to deliver enterprise value.   Governance, Risk, and Dependency Management   Establish and   maintain   the   program   governance structure, operating cadence, decision rights, escalation paths, service-level   objectives , and delivery standards consistent with McKesson's Responsible AI Program, Responsible AI Policy, and RAIB Charter.   Identify ,   consolidate , and manage program-level risks, issues, interdependencies, and resource constraints across governance activities; develop mitigation plans, assign accountable owners, and escalate significant risks with recommended actions.   Lead scope, priority, and   risk   trade-off discussions with stakeholders, driving consensus while preserving policy, control, documentation, and audit requirements.   Ensure governance records, risk assessments, approvals, conditions, controls, and notifications are complete,   accurate ,   timely , and   audit-ready .   RAIB and EAIC Leadership   Lead preparation and execution of RAIB sessions and, when   required , EAIC secondary reviews in partnership with the RAIB Operations and Governance Lead and Sr. Product Portfolio Manager.   Ensure review materials enable informed decisions and that every decision, condition, action, owner, and due date is documented accurately in Smartsheet and