AI Platform Product Manager - Healthcare

Mckesson Corporation

Washington

Hybrid

USD 95,000 - 158,000

Full time

14 days+

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Job summary

McKesson seeks a seasoned Digital Product Manager to own the vision, roadmap, and backlog for role-based digital workspaces that unify workflows, communications, data, and AI-powered assistance in a healthcare context.

You will lead cross-functional discovery with stakeholders, translate insights into prioritized investments, and drive phased delivery through MVPs and pilots to maximize value and platform reuse. This role emphasizes modern architecture, APIs, AI capabilities, and data governance.

Qualifications

5+ years of product management experience delivering digital products, platform products, APIs, or internal tooling solutions.
Strong understanding of modern architecture patterns including APIs, API gateways, microservices, BFF architectures, event-driven systems, cloud platforms, and identity/access management.
Experience launching and managing AI or machine learning capabilities such as conversational AI, generative AI assistants, document processing, or intelligent automation solutions.
Proven success leading legacy modernization initiatives through phased migration strategies.
Strong product discovery, roadmap prioritization, stakeholder management, and agile delivery experience.
Ability to communicate effectively with both executive business stakeholders and technical teams.
Demonstrated use of data and analytics to inform decisions and measure outcomes.
Experience leveraging AI tools to improve productivity and product management practices.

Responsibilities

Own the vision, roadmap, and backlog for role-based digital workspaces that unify workflows, communications, data, and AI-powered assistance.
Lead user discovery with internal and external stakeholders to identify pain points and translate insights into prioritized product investments.
Define and execute phased delivery strategies through MVPs, pilots, and scalable release plans that maximize user value and platform reuse.
Define requirements for shared platform services, including API management, backend-for-frontend (BFF) services, event-driven integrations, and identity and access management.
Manage APIs and platform capabilities as products, establishing clear service definitions, documentation, adoption strategies, and performance expectations.
Guide modernization efforts that enable legacy and cloud-native systems to operate together while minimizing disruption to business operations.
Drive requirements for reusable communication services such as SMS, email, fax, voice, and chat capabilities.
Shape and deliver AI-driven solutions including conversational AI, virtual agents, knowledge search, question-answering experiences, document AI, and generative AI assistants.
Define and measure success metrics such as containment rates, accuracy, operational efficiency, time savings, and business impact.
Partner with engineering, data science, security, and compliance teams to ensure AI solutions are governed, explainable, and appropriate for regulated environments.
Collaborate with data teams to define data models, pipelines, and trusted data sources that support products, analytics, and AI initiatives.
Ensure privacy, security, and data-governance requirements are incorporated throughout the product lifecycle.