Lead Product Management 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.

Position Summary (Purpose of job): 

The Lead Technical Product Manager – Level 5 plays a strategic leadership role in defining and governing McKesson’s platform vision, strategy, and roadmap to enable secure, scalable, and innovative technology solutions. This position is to define and drive the strategy, roadmap, and adoption of our enterprise AI platforms. This role combines product management, platform strategy, and technical leadership to accelerate the delivery of machine learning, generative AI, and agent-based solutions across the organization.

You will own the evolution of a unified AI platform built on Azure Machine Learning and Azure AI Foundry, enabling data scientists, engineers, and business teams to rapidly build, deploy, govern, and scale AI solutions. Working across platform engineering, security, architecture, data science, and business stakeholders, you will translate emerging AI trends and business needs into prioritized platform capabilities that deliver measurable value.

Key Responsibilities: 

• Lead the product strategy, roadmap, and lifecycle management for a unified AI platform converging MLOps, Generative AI, and Agentic AI capabilities. 

• Translate emerging AI technologies, model advancements, and business demand into prioritized platform investments and delivery plans. 

• Drive developer experience as a product, creating self-service experiences, golden paths, reusable templates, SDKs, APIs, and onboarding journeys. 

• Define platform success metrics including adoption, platform reliability, time-to-first-model, developer productivity, and business outcomes. 

• Partner with data science, engineering, security, architecture, compliance, and business leaders to align platform capabilities with enterprise priorities. 

• Guide product decisions across the AI lifecycle, including model development, evaluation, deployment, governance, monitoring, optimization, and cost management. 

• Drive platform governance, responsible AI practices, compliance requirements, and operational excellence. 

• Influence strategic technology partnerships and help evaluate emerging AI and cloud platform capabilities. 

Minimum Job Qualifications (Knowledge, Skills, & Abilities):

• 10+ years of experience in Product Management, Platform Product Management, AI/ML Platforms, Cloud Platforms, or related technology leadership roles. 

• Bachelor's degree in Computer Science, Engineering, Information Technology, or a related discipline, or equivalent experience. 

• Experience defining and executing product strategy, roadmaps, and platform investment priorities. 

• Experience with Azure Machine Learning, Azure AI Foundry, MLOps platforms, or comparable cloud AI ecosystems. 

• Proven experience leading cross-functional initiatives involving product, engineering, data science, security, and business stakeholders. 

• Understanding of the AI lifecycle, including model training, evaluation, deployment, monitoring, governance, and optimization. 

• Experience measuring platform adoption through product metrics and customer outcomes. 

• Strong communication, stakeholder management, and executive presentation skills. 

Business Experience:

Bachelor’s degree in computer science, Information Technology, Engineering, or a related field, or equivalent combination of education and experience. Advanced degree preferred.

Typically requires 10+ more years of relevant professional experience, including leadership in product strategy and enterprise technology delivery. Less experience is accepted with relevant Master's or Doctorate qualifications.

Proven track record of translating business objectives into platform strategies and delivering solutions at scale.

At McKesson, we care about the well-being of the patients and communities we serve, and that starts with caring for our people. That’s why we have a Total Rewards package that includes comprehensive benefits to support physical, mental, and financial well-being. Our Total Rewards offerings serve the different needs of our diverse employee population and ensure they are the healthiest versions of themselves.

As part of Total Rewards, we are proud to offer a competitive compensation package at McKesson. 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.

Our Base Pay Range for this position

€82,500 - €137,500

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.