Product Manager, Intelligent Platforms - Healthcare

McKesson•Columbus, OH

13h

About The Position

McKesson is hiring a Product Manager for its Intelligent Platforms team, which builds shared platform and AI capabilities for CoverMyMeds. These capabilities support modern, role-based digital products and are designed to enable delivery that is secure, scalable, reliable, compliant, and reusable across the organization. The role owns product vision, roadmaps, backlogs, and delivery strategies for digital workspaces and shared platform services. It also shapes AI-powered capabilities and works with data teams to establish foundations for products, analytics, and AI initiatives. The Product Manager collaborates with engineering, data science, security, compliance, business stakeholders, and other teams to deliver products suitable for regulated environments. The position operates in a SAFe environment, contributing epics, features, user stories, PI Planning, dependency management, and architecture and governance reviews. The role also champions the use of AI tools to improve product management work.

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 using 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 that support 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 turn identified needs into prioritized product investments.
Plan and execute phased delivery through MVPs, pilots, and scalable release plans, maximizing user value and platform reuse.
Define requirements for shared platform services, including API management, backend-for-frontend services, event-driven integrations, and identity and access management.
Manage APIs and platform capabilities as products, defining service offerings, documentation, adoption strategies, and performance expectations.
Guide modernization so legacy and cloud-native systems can operate together while minimizing disruption to business operations.
Drive requirements for reusable communication services, including SMS, email, fax, voice, and chat.
Shape and deliver AI-driven solutions, including conversational AI, virtual agents, knowledge search, question-answering, 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 in a SAFe environment and participate in PI Planning and dependency management.
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.