
Product Manager, Intelligent Platforms - Healthcare
Columbus, OHJobSeen todaySeen in employer's feed today
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Job overview
McKesson is building shared platform and AI capabilities for CoverMyMeds’ digital products. The Product Manager will own role-based digital workspaces, platform and API products, AI capabilities, and data foundations, partnering with engineering, data science, security, and compliance teams. The role also involves product discovery, phased delivery, success measurement, and work within a SAFe environment.
Skills & qualifications
Skills
Qualifications
Full job description
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. About The Team We're building the shared platform and AI capabilities that enable CoverMyMeds to deliver modern, role-based digital products quickly, securely, and at scale. Our team creates the foundational services, experiences, and technology patterns that power multiple products across the organization, accelerating innovation while ensuring reliability, compliance, and reusability. What You'll Do Digital Product & Experience - 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. Platform & API Products - 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. AI Product 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. Data Foundations - 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. Ways of Working - Operate within a SAFe environment by authoring epics, features, and user stories while actively participating in PI Planning and dependency management. - Represent product priorities in architecture and governance reviews, translating technical decisions into business outcomes. - Champion AI-first ways of working by leveraging AI tools to improve research, planning, documentation, and product delivery. Skills You'll Need 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 assist
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