Job Title:Lead, AI Strategy, Oncology & Multi‑SpecialtyLevel:P5Position Summary:We are seeking a cooperative and business‑focused Lead, Digital & AI Strategy – Oncology & Multi‑Specialty to help shape and advance our AI strategy across oncology and specialty care. This role will support identification and evaluation of AI opportunities, foster organizational understanding, and guide responsible exploration of AI’s impact on clinical, operational, and patient‑facing workflows. The individual will play a key role in coordinating stakeholders, building AI literacy, and translating strategy into actionable initiatives in partnership with senior leaders and delivery teams.Key Responsibilities:Market Intelligence & ResearchTrack and synthesize emerging AI trends, tools, and use cases relevant to oncology and multi‑specialty care. Assess potential impact of AI on clinical, operational, and administrative functions and surface priority opportunities. Develop concise briefings, landscape summaries, and recommendations for senior and executive leaders.AI Council LeadershipCoordinate the Oncology & Multi‑Specialty AI Council, ensuring regular engagement from clinical, IT, legal, compliance, and business stakeholders. Support discussions on AI governance, risk, and alignment with organizational strategy; maintain action logs and follow through. Contribute to the evolution of an AI vision and guardrails that reflect organizational priorities and market developments.Education & EnablementPartner with subject matter experts to design and deliver practical education (101s, workshops, office hours) on AI concepts, risks, and opportunities. Serve as an internal resource who can connect teams to the right expertise, tools, and best practices for AI initiatives. Help build a culture of responsible AI use and literacy across clinical, operational,



and business teams.Strategic AdvisoryProvide input and analysis to senior leadership on AI readiness, opportunity sizing, and prioritization. Collaborate with external vendors, health system partners, and industry groups to stay informed on pragmatic AI solutions. Support interpretation of AI‑related policy, regulatory, and ethical considerations, escalating issues to appropriate experts.Qualifications:7+ years of experience in healthcare technology, digital transformation, analytics, or AI related roles.Strong understanding of core AI concepts (e.G., machine learning, NLP, generative AI) and how they apply in healthcare settings.Demonstrated experience leading cross‑functional initiatives and influencing stakeholders without direct authority.Excellent communication and presentation skills, with the ability to translate complex topics for non‑technical audiences.Demonstrated interest in education, innovation, and ethical use of technology.Preferred Qualifications:Experience working in or with healthcare providers, payers, or life sciences organizations.Familiarity with healthcare regulations (e.G., HIPAA, FDA AI/ML guidance).Experience in academic research or publishing in AI or healthcare domains.Compensation: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 continue to our benefits portal.Our Base Pay Range for this position$113,500 - $189,100#J-18808-Ljbffr

📌 Lead, Ai Strategy, Oncology & Multi-Specialty - $113,500 - $189,100 A Year (Winnipeg)
🏢 McKesson
📍 Winnipeg