AI Enablement Director: Build Scalable Agentic AI

McKesson

Irving (TX)

On-site

USD 175,000 - 291,000

Full time

5 days ago
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Job summary

McKesson’s CoverMyMeds unit is seeking a Senior Director, AI Enablement to lead AI strategy, governance, and engineering platforms. You will build AI products with agentic capabilities and drive adoption across engineering and business teams, partnering with the Enterprise AI organization for reusable capabilities.

This builder's role requires deep technical depth, product delivery expertise, and the ability to lead cross-functional teams including Legal, Privacy, Security, and Compliance.

Qualifications

  • Bachelor's degree in Computer Science, Engineering, Information Systems, or related field, or equivalent experience.
  • 13+ years of software engineering/tech leadership, including 5+ years leading engineering or platform teams.
  • 3+ years of hands-on leadership in AI/ML, incl. generative AI, LLMs, agentic AI in production.

Responsibilities

  • Define and own AI enablement strategy and multi-year roadmap for CoverMyMeds.
  • Own end-to-end build and delivery of AI products and agents.
  • Chair AI Review Board and own AI usage policy, model-selection frameworks, and cost management.
  • Lead teams building reusable AI capabilities and advance AI SDLC.
  • Scale AI adoption across engineering to product, legal, finance, and other functions.
  • Partner with Enterprise AI to avoid duplicate effort and align standards.
  • Hire, develop, and retain a high-performing AI enablement team.

Skills

AI strategy
Cross-functional leadership
Portfolio management
Vendor management
HIPAA governance
AI product delivery

Education

Bachelor's degree in CS/Engineering/IS

Tools

Claude
GitHub Copilot
MCP
FHIR

Job description

McKesson’s CoverMyMeds unit is seeking a Senior Director, AI Enablement to lead AI strategy, governance, and engineering platforms. You will build AI products with agentic capabilities and drive adoption across engineering and business teams, partnering with the Enterprise AI organization for reusable capabilities.

This builder's role requires deep technical depth, product delivery expertise, and the ability to lead cross-functional teams including Legal, Privacy, Security, and Compliance.

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