Product Manager - Data Science (MDM / Net Revenue)
HybridPhiladelphia, Pennsylvania, United States
Job Summary
Own and manage the product roadmap, release backlog, and sprint execution for MDM and Net Revenue data products. Elicit business requirements, document user stories with acceptance criteria, and drive Agile ceremonies including backlog grooming, sprint planning, and retrospectives. Maintain JIRA epics, tasks, and release documentation while defining HCO mastering, identity resolution, and data quality rules. Partner with data engineering teams on ETL mappings, validation, and downstream publishing needs. Facilitate workshops with domain SMEs, engineering, and leadership to align on chargebacks, government pricing, and semantic models. Define test scenarios, coordinate UAT, and ensure traceability from requirements through release. Create product documentation, process flows, and training materials to support adoption.
Required Qualifications
- 8+ years of product management, product owner, business analyst, or data product experience in Life Sciences, healthcare, or enterprise data platforms
- Hands-on experience managing product backlogs, roadmaps, JIRA boards, user stories, sprint execution, and release planning
- Strong knowledge of Master Data Management concepts, especially HCO mastering, golden records, match/merge, survivorship, hierarchies, relationships, and data quality
- Experience working with data engineering, ETL/ELT, data warehousing, MDM configuration, QA, and analytics teams
- Ability to define source-to-target mapping needs, validation rules, reconciliation requirements, and data quality acceptance criteria
- Strong understanding of Life Sciences commercial operations, market access, managed care, government pricing, chargebacks, claims, contracts, or related revenue management processes
- Experience with Agile/Scrum delivery methodology and tools such as JIRA and Confluence
- Strong communication skills with the ability to translate complex business and data concepts across business and technical audiences
- Strong analytical, documentation, problem-solving, and stakeholder-management skills
- Valid work authorization that does not now and/or will not in the future require sponsorship of a visa for employment authorization in the US by IntegriChain
Desired Qualifications
- Experience with Reltio, Informatica MDM, Veeva Network, OneKey, or similar MDM/reference data platforms
- Experience with Snowflake, dbt, data warehouses, semantic models, reporting layers, or AI/analytics data products
- Experience working with commercial data feeds, claims data, chargeback data, contract data, customer master data, and reference data providers
- Exposure to 340B covered entity data, HIN, DEA, NPI, NCPDP, PHS/OPAIS, and other authoritative data sources
- Experience supporting AI-ready data assets, governed semantic models, or data products used by analytics and AI applications
- Ability to partner with offshore and onshore engineering teams across design, build, testing, release, and production support
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