Healthcare Data Platforms & Analytics Product Lead

McKesson; Georgia; Sur place; USD 119 000 - 199 000; Plein temps

Résumé du poste

McKesson is seeking a Sr. Product Manager for Data Products & Analytics to lead a strategic analytics roadmap across data platforms and dashboards that support pharma manufacturers and access programs.

You’ll partner with Data Engineering, Architecture, Data Science and GTM teams to translate business needs into data models, pipelines and reportable outputs, while ensuring HIPAA and de-identification compliance.

Qualifications

• 7+ years in product management or technology product development, ideally in healthcare.
• Experience delivering analytics platforms and data-driven products.
• Experience with clinical and pharmacy data structures and analytics.
• Experience with SAFe and backlog refinement.

Responsabilités

• Own the roadmap for data modernization, data products, and analytics dashboards.
• Translate business requirements into epics, features, user stories, and acceptance criteria.
• Operate in SAFe, write backlog items, participate in PI Planning.
• Collaborate with Data Engineering, Architecture, Data Science to shape data models and pipelines.
• Conduct discovery interviews with Retail and Specialty Commercial teams.
• Create enablement assets for GTM teams to land data products with stakeholders.

Connaissances

SAFe Product Owner/PM

Data products & analytics

Data modeling & pipelines

Stakeholder interviews

HIPAA compliance

Cross-functional collaboration

Product requirements writing

Healthcare data experience

Formation

Bachelor's degree or equivalent experience

Outils

APIs

Master Data Management (MDM)

Visualization tools

Data pipelines tooling

Description du poste

McKesson is seeking a Sr. Product Manager for Data Products & Analytics to lead a strategic analytics roadmap across data platforms and dashboards that support pharma manufacturers and access programs.

You’ll partner with Data Engineering, Architecture, Data Science and GTM teams to translate business needs into data models, pipelines and reportable outputs, while ensuring HIPAA and de-identification compliance.