Senior Director, AI Enablement

We are looking for a Senior Director, AI Enablement to lead the next stage of this transformation.

Sr Director, AI Enablement will own AI strategy, governance, and AI engineering platforms for CoverMyMeds, and will build and deliver AI products using an agentic, AI-native approach, where AI agents are designed into products and workflows from the start rather than added later.

About McKesson

• 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.
• CoverMyMeds is recognized across McKesson as a leader in AI adoption.
• Our Technology organization runs on an AI-First operating model, with AI embedded in how we plan, build, secure, and deliver software.
• The role scales safe and measurable AI adoption across engineering and business teams, and partners with McKesson's Enterprise AI team so capabilities are built once and reused across business units.
• This is a builder's role for someone who combines technical depth, product delivery, strategic vision, and the ability to change how people work.
• design products and workflows around AI agents from the start, with humans in the loop where it matters.
• Partner with Product and business leaders to identify high-value use cases and turn them into products that deliver measurable clinical, operational, and financial outcomes.
• Cross-functional partnership with Legal, Privacy, Security, Product, and business leaders.
• New agentic-native AI products are delivered to production with measurable business outcomes.

Responsibilities

• AI Strategy and Roadmap Define and own the AI enablement strategy and multi-year roadmap for CoverMyMeds, aligned with business priorities and McKesson's enterprise AI direction.
• Manage a portfolio of concurrent AI initiatives and a multimillion-dollar budget, prioritizing investments by business value, risk, and reuse.
• Measure and report AI adoption, productivity, and ROI to executive leadership.
• Agentic-Native Product Build and Delivery Own the build and delivery of AI products and agents end to end, from discovery and design through production release and ongoing improvement.
• Use AI-accelerated delivery to move from idea to production in days and weeks, while holding the bar on quality, security, and compliance.
• Governance and Responsible AI Chair the AI Review Board and own AI usage policy, model-selection frameworks, and token allocation and cost management.
• HIPAA, privacy, and security requirements are built into AI development and delivery processes.
• Partner with Legal, Privacy, Security, and Compliance to enable fast, safe, and responsible AI adoption.
• AI Platforms and Engineering Acceleration Lead the teams that build and run reusable AI capabilities, including the AI Skills Marketplace, MCP servers, agents, and developer tooling.
• Advance the AI-embedded SDLC, including spec-driven development, AI code review, automated vulnerability remediation, shift-left testing, and self-service developer onboarding.
• Drive build-once, reuse-everywhere practices so shared AI assets serve multiple teams and business units.
• Adoption, Enablement, and Change Scale AI adoption beyond engineering to product, business, legal, finance, privacy, call center, and platform teams.
• Own the AI training curriculum and champions network, from foundational AI literacy to advanced agentic workflows.
• Advise senior leadership and the C-suite on AI strategy, capabilities, and risk.
• Build a positive, curious AI culture through townhalls, ERG sessions, and hands-on enablement.
• Partnership and Leadership Partner with McKesson's Enterprise AI team, architecture, product, and platform leaders to align standards and avoid duplicate effort.
• Work with external technology partners and vendors to evaluate and adopt emerging AI capabilities.
• Hire, develop, and retain a high-performing team of engineers, architects, and enablement specialists.
• discovery, MVP definition, rapid iteration, and production release.
• MCP, reusable skills and plugins, AI marketplaces, LLMOps.
• spec-driven development, CI/CD, DevOps, Cyber Security, automated testing and code review.
• Strategic vision and the ability to turn it into an executable roadmap.
• Reusable AI assets are adopted across multiple teams and business units, reducing duplicate effort.

Requirements

• Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field, or equivalent experience.
• Typically requires 13+ years of relative software engineering and technology leadership experience, including 5+ years leading engineering or platform teams.
• 3+ years of hands-on leadership in AI or ML, including generative AI, LLMs, and agentic AI in production environments.
• Proven track record of driving AI adoption at scale with measurable outcomes in productivity, quality, or delivery speed.
• Demonstrated experience building and delivering AI-powered products or agents to production, with measurable business impact.
• Experience establishing AI governance, responsible AI practices, or technology standards in a regulated environment.
• Experience managing people, budgets, vendor relationships, and a portfolio of concurrent initiatives.
• Generative and agentic AI: LLMs, RAG, agents, prompt and context engineering, model evaluation.
• multi-agent workflows, tool use, human-in-the-loop design, and agent observability and evaluation.
• Cloud-native architecture (GCP or AWS), APIs, and integration platforms.
• Data foundations for AI, including data quality, tagging, and synthetic data.
• Executive communication and influence, including explaining complex technical topics simply.
• moving teams from skepticism to confident, everyday AI use.
• Talent development and building inclusive, high-performing teams.
• Data-driven decisions, with a focus on measurable outcomes and ROI.

Preferred

• Master's degree in a technical field or an MBA.
• Healthcare, pharmacy, or health technology experience, including HIPAA and patient data protection.
• Experience with AI developer tooling such as Claude, Claude Code, GitHub Copilot, and Model Context Protocol (MCP).
• Experience with FHIR and healthcare interoperability standards.
• Experience in a matrixed, multi-business-unit enterprise.

Pay

• 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.

Benefits

• We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards.
• For more information regarding benefits at McKesson, please click here.

What

Success Looks Like in the First Year: AI adoption continues to grow across engineering and expands further into business functions.

Governance keeps pace with new AI capabilities without slowing delivery.

Clear, regular reporting on AI adoption, productivity, and ROI to executive leadership.

Our Base Pay Range for this position $174,800 - $291,300 McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson’s (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind: McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application. McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates. McKesson job postings are posted on our career site: careers.mckesson.com . McKesson is an Equal Opportunity Employer McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson’s full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) [email protected] or (Canada) [email protected] . Resumes or CVs submitted to this email box will not be accepted. Join us at McKesson!