Sr. Director, Enterprise AI Engagement

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 tomorrows health today we want to hear from you.

We are seeking Sr. Director Enterprise AI Engagement who acts as the front door to the enterprise AI practiceensuring stakeholders have a clear path to engage adopt and scale AI capabilities across the organization.

Enterprise AI Adoption & Engagement Leadership

• Lead enterprise-wide AI adoption by establishing a scalable engagement model that serves as the front door to the enterprise AI practice.
• Build and operationalize learning education and enablement programs to upskill business and technology teams accelerating AI fluency and usage across the organization.
• Partner with business and technology leaders to translate enterprise priorities into structured AI programs ensuring alignment with strategic objectives and measurable outcomes.

AI PMO & Delivery Governance

• Own the enterprise AI Program Management Office (PMO) driving prioritization roadmap alignment and execution governance across AI engineering and solution delivery.
• Establish standardized operating rhythms intake frameworks and delivery processes to ensure transparency speed and consistency across the AI portfolio.
• Coordinate across data science engineering product and business teams to ensure seamless execution and alignment on timelines dependencies and outcomes.

AI Product & Solution Enablement

• Oversee support models for enterprise AI products and solutions ensuring reliability scalability and sustained adoption post-deployment.
• Define and implement frameworks for onboarding user adoption and lifecycle management of AI capabilities across business units.
• Partner with engineering and platform teams to ensure AI solutions are production-ready maintainable and aligned with enterprise standards.

Stakeholder Engagement & Enterprise Interface

• Act as the primary point of contact for stakeholders across the enterprise providing a clear and consistent interface into the AI organization.
• Drive executive alignment and shared accountability across business and technology leaders to accelerate adoption and value realization.
• Navigate complex matrixed environments to align priorities resolve conflicts and ensure coordinated execution of AI initiatives.

Change Management Learning & Culture

• Design and lead enterprise change management strategies to embed AI into decision-making and operational workflows.
• Establish continuous learning ecosystems including training programs playbooks and communities of practice to scale AI knowledge and best practices.
• Foster a culture that balances speed accountability and continuous improvement enabling teams to adopt and scale AI effectively.

Measurement Reporting & Continuous Improvement

• Define and track KPIs for adoption engagement delivery performance and business impact across the AI portfolio.
• Build transparent reporting mechanisms and executive-level dashboards to communicate progress risks and outcomes.
• Continuously refine engagement delivery and support models based on feedback and performance insights.

Minimum Requirement-Degree or equivalentexperience. Typically requires13 years of professionalexperience and 6 years ofdiversified leadership planningcommunication organizationand people motivation skills (or
equivalent experience)

Required Skills

• Proven ability to drive enterprise AI adoption through structured enablement education and stakeholder engagement models
• Strong experience building and running program management offices (PMOs) for complex cross-functional technology initiatives
• Demonstrated success acting as a senior interface between business and technology influencing executives and driving alignment
• Deep understanding of AI/ML lifecycle with the ability to partner effectively with engineering and data science teams without owning model development directly
• Experience designing scalable onboarding support and lifecycle management models for enterprise AI products
• Strong communication and storytelling skills with the ability to translate complex AI concepts into clear business value narratives
• Track record of building learning ecosystems knowledge repositories and communities of practice to drive continuous capability building

Working Conditions

Environment

• Traditional office environment

Physical Requirements

• Significant time performing computer-based work

Candidate must be authorized to work in the U.S now or in the future without the support from McKesson.

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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