AI Enablement Leader — Build Agentic, Scalable AI

McKesson Corporation; Alpharetta (GA); On-site; USD 175,000 - 291,000; Full time

Job summary

McKesson is seeking a Senior Director, AI Enablement to lead AI strategy, governance, and engineering platforms across CoverMyMeds, helping scale agentic AI across engineering and business teams.

This leadership role requires deep technical depth, product delivery experience, and the ability to partner with Legal, Privacy, Security, and Compliance to enable fast, safe AI adoption while delivering measurable clinical and financial outcomes.

Qualifications

• Bachelor's degree in Computer Science, Engineering, Information Systems, or 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.

Responsibilities

• 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.
• Own the build and delivery of AI products and agents end to end, from discovery and design through production release and ongoing improvement.
• Champion an agentic-native approach: 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.
• Use AI-accelerated delivery to move from idea to production in days and weeks, while holding the bar on quality, security, and compliance.
• Chair the AI Review Board and own AI usage policy, model-selection frameworks, and token allocation and cost management.
• Ensure 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.
• 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.
• 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.
• 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.

Skills

AI leadership

Strategic vision

Executive communication

Cross-functional collaboration

Budget management

Engineering leadership

Education

Bachelor's degree in CS or related field

Tools

MCP

GCP/AWS

AI tooling (Claude/ Copilot)

Job description

McKesson is seeking a Senior Director, AI Enablement to lead AI strategy, governance, and engineering platforms across CoverMyMeds, helping scale agentic AI across engineering and business teams.

This leadership role requires deep technical depth, product delivery experience, and the ability to partner with Legal, Privacy, Security, and Compliance to enable fast, safe AI adoption while delivering measurable clinical and financial outcomes.