Senior PM, Healthcare Data Platforms & Analytics

McKesson; Florida; On-site; USD 119,000 - 199,000; Full time

Job summary

McKesson is seeking a Sr. Product Manager, Data Products & Analytics to join the Enabling Capabilities team.

You will own the roadmap for data modernization, data products, and analytics/dashboards servicing pharma manufacturers, grounded in CMM's data layout. You will collaborate with Data Engineering, Architecture, Data Science, and Analytics teams to translate business requirements into data models, pipelines, and outputs while driving go-to-market enablement and governance.

Qualifications

• Degree or equivalent experience. Typically requires 7+ years of relevant experience.
• Experience in product management or technology product development, ideally within healthcare, pharmacy, or clinical data environments.
• Working knowledge of the data layout, dimensions, and relationships underlying CMM's Access and Affordability products (or comparable prior-auth/affordability program data).
• Experience delivering analytics platforms, including familiarity with how data moves through progressive stages from raw collection, to cleansing and integration, to business-ready, reportable form.
• Experience with healthcare data de-identification and data-sharing frameworks, including HIPAA Safe Harbor, Expert Determination, and third-party tokenization solutions (e.g., Datavant).
• Experience running stakeholder interviews/discovery sessions to gather and synthesize feedback on data product concepts.

Responsibilities

• Owns the product roadmap for data modernization, data products, and analytics/dashboards delivered back to pharma manufacturers, grounded in the underlying data layout and dimensions of CMM's Access and Affordability products
• Documents business and data requirements into clear, engineering-ready specifications (epics, features, user stories, acceptance criteria) for engineering teams to build against
• Operates within a SAFe (Scaled Agile Framework) model, writing and refining backlog items, participating in PI Planning, and partnering with Release Train Engineers to sequence delivery
• Partners closely with Data Engineering, Data Architecture, Data Science, and Data Analytics teams to translate business requirements into data models, pipelines, and reportable outputs
• Conducts structured discovery and feedback interviews with Retail and Specialty Commercial teams to validate data product concepts, prioritize features, and close the loop between build and business need
• Partners with Go-to-Market teams to build enablement assets (training materials, FAQs, positioning) so new data products and dashboards land cleanly with internal and external audiences
• Proactively engages with Product, Commercial and Operations teams to identify value proposition, drive alignment on product evolution, and properly position products in the marketplace
• Makes recommendations to assess product needs and implement solutions across data platforms, teams, and stakeholders of increased complexity and scope
• Uses influence to move teams through buy-in of product direction; encourages engagement and creativity across the team
• Ensures features and product direction are legal and compliant particularly around de-identification and data-sharing standards, collaborating with legal/compliance/privacy teams to triage issues and advise leadership

Skills

Product management

Healthcare data

SAFe / Agile

Data modeling

Data visualization

Cross-functional collaboration

Stakeholder interviews

HIPAA / regulatory

Communication

Go-to-market enablement

Education

Bachelor's degree or equivalent experience

Tools

APIs

Data pipelines

Visualization tools

Master data management

Datavant

Job description

McKesson is seeking a Sr. Product Manager, Data Products & Analytics to join the Enabling Capabilities team.

You will own the roadmap for data modernization, data products, and analytics/dashboards servicing pharma manufacturers, grounded in CMM's data layout. You will collaborate with Data Engineering, Architecture, Data Science, and Analytics teams to translate business requirements into data models, pipelines, and outputs while driving go-to-market enablement and governance.