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McKesson

Supplies medicines and technology to healthcare teams

Lead Technical Product Manager 5

Technical Product ManagementPosted on Nov 6
Full-timeCork, IrelandHybrid

About the Job

Requirements

  • At least 10 years of experience in Product Management, Platform Product Management, AI/ML Platforms, Cloud Platforms, or related technology leadership roles.
  • A 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.
  • 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.
  • Typically, at least 10 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.
  • A proven track record of translating business objectives into platform strategies and delivering solutions at scale.

Responsibilities

  • Lead product strategy, roadmap, and lifecycle management for a unified AI platform bringing together 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 by creating self-service experiences, golden paths, reusable templates, software development kits, application programming interfaces, 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.

Desired Qualifications

  • An advanced degree.

About the Company

McKesson

Supplies medicines and technology to healthcare teams

McKesson distributes medicines and medical supplies to pharmacies, hospitals and other care providers, alongside services that connect drug manufacturers with patients. Its specialty businesses support community cancer care and clinical research, extending its work beyond moving products through warehouses. The company buys drugs and supplies from manufacturers for resale, while its software helps pharmacies manage inventory and healthcare teams secure insurance approval for prescriptions. It also sells practice management and patient support services to clinicians and drugmakers. McKesson traces its business roots to 1833 and is headquartered in Irving, Texas.

Company size
10,001+
Company stage
IPO
Headquarters
Irving, TX
Founded
1833

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