Director, AI Engineering

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.

Job Description

 The Director (M4) leads major divisional functions or corporate sub‑functions, providing enterprise‑level strategic direction, long‑range planning, and operational leadership across multiple related disciplines. This role analyzes external business environments to anticipate trends, influence strategy, and recommend growth opportunities for the business unit. It directs managers ensuring operational excellence, cross‑functional integration, and execution of high‑impact initiatives. The Director is financially accountable for operating plans, budgets, and forecasts, and manages complex organizational performance across services. 

As a senior enterprise advisor, the Director interfaces with leaders to shape integrated business strategies and ensure alignment of products, solutions, and capabilities with organizational priorities. The role leads talent pipelines, strengthens leadership benches, and manages significant conflicts and disciplinary matters. It drives continuous improvement, optimizes cross‑functional workflows, and ensures strategic communication across stakeholder groups.

• →Proven leadership of AI/ML engineering orgs through a management layer — direct experience managing people, not just individual senior engineers or a single flat team.
• →​Finance/P&L ownership at scale — has managed and grown an operating budget/forecast, not just consumed one handed down.
• →Deep technical credibility in AI/ML systems — enough hands-on depth (ML lifecycle, data architecture, LLMs deployment at scale) to make and defend build/buy/architecture decisions with engineering teams and with executives. 
• →Experience operating in a regulated or high-compliance enterprise environment (healthcare and pharma distribution) — given McKesson's regulatory and data-sensitivity context.
• →Track record of translating business strategy into a multi-year technical roadmap and being held accountable for its execution.

• 5+ years of experience in Responsible AI practices, model risk management, data governance, audit readiness
• Partnering with Product, Data Engineering, Platform/Infra, Security, Legal/Compliance, and BU leaders
• Experience with enterprise-scale cloud AI/ML platforms (Azure services, Langchain/LangGraph, Python etc.) at production scale
• Succession planning, performance calibration, handling significant conflict and disciplinary matters
• Strong Vendor & Partner Management - Build-vs-buy analysis, negotiating with cloud/AI vendors
• KPI/metrics frameworks, SLA management across services and programs, continuous improvement methodology
• Business impact scope - Has supported multiple business units, product lines, or customer segments concurrently

• Domain expertise in healthcare, pharmaceutical distribution, or supply chain preferred

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 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. For more information regarding benefits at McKesson, please click here.

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