Lead, AI Strategy, Oncology & Multi-Specialty

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Position Summary:

We are seeking a collaborative 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 AIs 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 & Research
  • Track and synthesize emerging AI trends tools and use cases relevant to oncology and multispecialty 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 Leadership
  • Coordinate the Oncology & Multi-SpecialtyAI 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 & Enablement
  • Partner 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 Advisory
  • Provide 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.

Minimum Qualifications: Degree or equivalent andtypically requires 10 years ofrelevant experience. Less yearsrequired if has relevant Mastersor Doctorate qualifications.

Required Skills :

• 7 years of experience in technology digital transformation analytics or AI related roles.
• Strong understanding of core AI concepts (e.g. machine learning NLP generative AI) .
• Provide input and analysis to senior leadership on AI readiness opportunity sizing and prioritization.
• 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 nontechnical 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.

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 McKessons 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 pleaseclick here.

Our Base Pay Range for this position

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