Integrichain1

Integrichain1

Product Manager - Data Science (MDM / Net Revenue)

Philadelphia, PA, United States

No sponsorshipDetected 22 days ago
SnowflakedbtData EngineeringData ScienceProduct ManagementProduct StrategyAgileJiraConfluenceStakeholder ManagementForecastingPatient CareLeadershipCommunicationProblem Solving

About the role

  • We are looking for a Product Manager with strong Master Data Management (MDM), HCO mastering, Life Sciences domain, and Net Revenue data experience.

Responsibilities

  • Product Roadmap & Backlog: Own and manage the product roadmap, release backlog, prioritization, sprint scope, and delivery execution for assigned MDM and Net Revenue data products.
  • Requirements & User Stories: Elicit, document, and manage business requirements, functional requirements, user stories, acceptance criteria, and data-focused use cases.
  • Agile Delivery: Lead or support scrum ceremonies, sprint planning, backlog grooming, sprint reviews, retrospectives, and cross-functional delivery coordination.
  • JIRA / Confluence Ownership: Maintain JIRA epics, stories, tasks, defects, priorities, dependencies, acceptance criteria, and release documentation.
  • Data Integration Alignment: Partner with Data Engineering and MDM teams on source ingestion, ETL/ELT, source-to-target mappings, transformations, validation, reconciliation, and downstream publishing needs.
  • Net Revenue Domain Support: Translate requirements across Chargebacks, Government Pricing (GP), PBR, UBR, contracts, claims, sales, customer, and reference data domains.
  • Data Asset Enablement: Support productization of key data assets such as 844, 867, 852, HIN, DEA, NPI, NCPDP, 340B, and related Life Sciences commercial data sets.
  • QA / UAT Leadership: Define test scenarios, coordinate UAT, validate requirements against delivered functionality, and ensure traceability from requirements through release.
  • Stakeholder Management: Facilitate workshops and working sessions with business stakeholders, domain SMEs, engineering, MDM, support, customer engagement, and leadership teams.
  • Release Management: Drive release readiness, release notes, rollout communication, adoption support, and post-release feedback intake.

Requirements

  • 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.
  • ICyte is the first and only platform that unites the financial, operational, and commercial data sets required to support therapy access in the era of specialty and precision medicine.
  • Strong understanding of Life Sciences / Pharma commercial and market access data domains.
  • Experience with HCO Master Data Management, customer mastering, reference data, identity management, and data governance.
  • Experience or strong working knowledge of Net Revenue systems and processes, including Chargebacks, Government Pricing (GP), PBR, and UBR.

Nice to have

  • 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.
  • What does IntegriChain have to offer?
  • Mission driven: Work with the purpose of helping to improve patients' lives!
  • IntegriChain is an equal opportunity employer

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

Visa & Work Authorization

  • Applicants for employment in the US must have 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.
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