Product Manager - Data Science (MDM / Net Revenue)

IntegriChain • Philadelphia, PA

1d

About The Position

We are looking for a Product Manager with strong Master Data Management (MDM), HCO mastering, Life Sciences domain, and Net Revenue data experience. This role will own roadmap, backlog, requirements, sprint execution, release planning, and stakeholder alignment for data products and MDM capabilities that support commercial, managed care, government pricing, chargebacks, and downstream analytics use cases. The ideal candidate should understand MDM concepts and ETL/data pipeline processes well enough to partner effectively with data engineering, MDM configuration, QA, domain, and client-facing teams. The candidate should be comfortable translating business needs into data requirements, user stories, acceptance criteria, semantic model needs, and release-ready product capabilities.

Requirements

• 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.

Nice To Haves

• 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.

Responsibilities

• Own and manage the product roadmap, release backlog, prioritization, sprint scope, and delivery execution for assigned MDM and Net Revenue data products.
• Elicit, document, and manage business requirements, functional requirements, user stories, acceptance criteria, and data-focused use cases.
• Lead or support scrum ceremonies, sprint planning, backlog grooming, sprint reviews, retrospectives, and cross-functional delivery coordination.
• Maintain JIRA epics, stories, tasks, defects, priorities, dependencies, acceptance criteria, and release documentation.
• Define requirements for HCO mastering, golden record creation, identity resolution, survivorship, hierarchies, relationships, stewardship workflows, and data quality rules.
• Partner with Data Engineering and MDM teams on source ingestion, ETL/ELT, source-to-target mappings, transformations, validation, reconciliation, and downstream publishing needs.
• Translate requirements across Chargebacks, Government Pricing (GP), PBR, UBR, contracts, claims, sales, customer, and reference data domains.
• Support productization of key data assets such as 844, 867, 852, HIN, DEA, NPI, NCPDP, 340B, and related Life Sciences commercial data sets.
• Define test scenarios, coordinate UAT, validate requirements against delivered functionality, and ensure traceability from requirements through release.
• Facilitate workshops and working sessions with business stakeholders, domain SMEs, engineering, MDM, support, customer engagement, and leadership teams.
• Drive release readiness, release notes, rollout communication, adoption support, and post-release feedback intake.
• Create and maintain product documentation, process flows, data definitions, user guides, training material, and operational handoff documentation.

Benefits

• Excellent and affordable medical benefits + non-medical perks including Flexible Paid Time Off and much more!
• Robust Learning & Development opportunities including over 700+ development courses free to all employees

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed