Product Manager, Intelligent Platforms - Healthcare

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.

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.

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.

• 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.

• Experience in healthcare, pharmacy, or another highly regulated industry.
• Knowledge of HIPAA, privacy regulations, security controls, and data-governance requirements.
• Experience with telephony, contact center technologies, or omnichannel communication platforms.
• Familiarity with data platforms, analytics ecosystems, and modern data engineering solutions such as Databricks.
• Experience delivering enterprise-scale platform products supporting multiple teams and business functions.

We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. 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. For more information regarding benefits at McKesson, please click here.

Our Base Pay Range for this position

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McKesson is an Equal Opportunity Employer

McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page.

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