Product Manager, Intelligent Platforms - Healthcare

McKesson•Columbus, OH

2d•$94,500 - $157,500

About The Position

McKesson is hiring a Product Manager for its Intelligent Platforms team supporting healthcare products. The team builds shared platform and AI capabilities that enable CoverMyMeds to deliver modern, role-based digital products quickly, securely, and at scale. Its work includes foundational services, experiences, and technology patterns that support multiple products while promoting innovation, reliability, compliance, and reuse. The Product Manager owns the vision, roadmap, and backlog for role-based digital workspaces and shared platform capabilities. The role leads user discovery, prioritizes product investments, and delivers through phased strategies such as MVPs, pilots, and scalable releases. It also shapes AI-driven products, collaborates on data foundations, and works within a SAFe environment to connect technical decisions and product priorities to business outcomes.

Requirements

At least 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 and access management.
Experience launching and managing AI or machine learning capabilities such as conversational AI, generative AI assistants, document processing, or intelligent automation.
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 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.

Nice To Haves

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.

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 and translate findings into prioritized product investments.
Define and execute phased delivery strategies through MVPs, pilots, and scalable release plans.
Define requirements for shared platform services, including API management, BFF services, event-driven integrations, and identity and access management.
Manage APIs and platform capabilities as products, including service definitions, documentation, adoption strategies, and performance expectations.
Guide modernization efforts that enable legacy and cloud-native systems to operate together while minimizing business disruption.
Drive requirements for reusable communications services, including SMS, email, fax, voice, and chat.
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 AI 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 on data models, pipelines, and trusted data sources for products, analytics, and AI initiatives.
Incorporate privacy, security, and data-governance requirements throughout the product lifecycle.
Author epics, features, and user stories and participate in PI Planning and dependency management in a SAFe environment.
Represent product priorities in architecture and governance reviews, translating technical decisions into business outcomes.
Use AI tools to improve research, planning, documentation, and product delivery.