Lead Product Management Engineering
Core
Strategic leadership role defining and governing McKesson's unified AI platform vision, strategy, and roadmap to enable secure, scalable, and innovative technology solutions for enterprise AI, generative AI, and agent-based solutions.
Role type
Senior IC Lead Technical Product Manager (AI Platform)
Builds
Unified AI platform built on Azure Machine Learning and Azure AI Foundry enabling data scientists and engineers to build, deploy, govern, and scale AI solutions.
Domain
Healthcare + Enterprise AI / Cloud Platforms
Deliverable
production ML models
Required skills
Product strategy & roadmap definition, Azure Machine Learning, Azure AI Foundry, MLOps, Generative AI, Agentic AI, Platform governance, Responsible AI practices, Cross-functional leadership, Product metrics & adoption analysis, Developer experience (DX) design
Preferred skills
Advanced degree (Master's/Doctorate)
Technologies
Azure Machine Learning, Azure AI Foundry, MLOps platforms
Responsibilities
Lead product strategy, roadmap, and lifecycle management for a unified AI platform converging MLOps, Generative AI, and Agentic AI capabilities; Translate emerging AI technologies and business demand into prioritized platform investments; Drive developer experience by creating self-service experiences, golden paths, reusable templates, SDKs, and APIs; Define platform success metrics including adoption, reliability, time-to-first-model, and business outcomes; Partner with data science, engineering, security, architecture, and business leaders to align platform capabilities with enterprise priorities; Guide product decisions across the AI lifecycle including model development, evaluation, deployment, governance, monitoring, and optimization; Drive platform governance, responsible AI practices, compliance requirements, and operational excellence.
Seniority
Senior, strategic leadership & hands-on product ownership
