Product Lifecycle Transformation Leader

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.

We are seeking a visionary and execution-focused leader to drive Cover My Meds -wide AI transformation across internal CMM processes in our Product and Technology organizations, focused on our Product Development Lifecycle. This role is centered on embedding automation and AI into the way we create and launch capabilities and features, from initial ideas to release, refinement and value creation. This role will look for ways that we can modernize ideation, research, design, development, testing, and launch, with a focus on meeting market needs and measuring our progress on meeting them.

This role will serve as a catalyst for change, a connector across functions, and a thought leader in the evolving AI landscape.

• Develop and lead a multi-year roadmap for internal AI adoption within the Product Development Lifecycle
• Identify and prioritize high-impact AI use cases across Product and Technology related to the Product Development Lifecycle
• Translate emerging AI trends into actionable and measurable strategies for internal transformation

• Partner with CMM functions (e.g. Strategic Initiatives, Product, Technology, HR, operations, and data teams) and Enterprise Functions (e.g. McKesson Technology) to implement AI solutions
• Build internal capabilities through training and scalable frameworks
• Establish success metrics and track progress against transformation goals. Provide thought leadership to measure success on multiple dimensions including, but not limited to, velocity and value
• Align with and leverage appropriate governance bodies (e.g. Cover My Meds  AI Review Board) to increase speed to execution and quantify value anticipated and created

• Champion a culture of innovation, experimentation, measurement and continuous learning
• Lead change management efforts to ensure adoption and sustainability
• Communicate vision and progress across all levels of the organization
• Manage AI related program and process governance across different functional areas

• Serve as an internal thought leader on AI and automation for the Product and Technology organizations
• Foster cross-functional collaboration and alignment
• Represent the organization in external forums as needed to share learnings

• Proven experience in product, technology, and/or data-driven roles in the healthcare industry
• Metrics-driven mindset with ability to define and measure impact
• Strong understanding of the product development lifecycle and how AI technologies can support it
• Demonstrated success in leading change and transformation initiatives; and building adoption for new capabilities.
• Exceptional communication and stakeholder management skills
• Ability to operate across all levels of the organization
• Strategic thinker with a bias for action and experimentation
• Ability to set direction, deploy resources, and adapt strategies to meet evolving business needs.
• Curious, adaptable, and committed to continuous learning
• Exceptional ability to communicate complex ideas clearly and influence diverse stakeholders.
• Experience managing outcomes through senior leaders and influencing across areas without formal authority.
• Demonstrated success engaging with executive leadership and driving decisions across business units.
• 15 years of professional experience, including 10 years in diversified leadership roles.

• Experience in enterprise transformation or digital enablement
• Familiarity with AI governance, ethics, and responsible use
• B…