Product Manager - Data Science (MDM / Net Revenue)

Company Description

IntegriChain is the data and application backbone for market access departments of Life Sciences manufacturers. We deliver the data, the applications, and the business process infrastructure for patient access and therapy commercialization. More than 250 manufacturers rely on our ICyte Platform to orchestrate their commercial and government payer contracting, patient services, and distribution channels. 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. With ICyte, Life Sciences innovators can digitalize their market access operations, freeing up resources to focus on more data-driven decision support.  With ICyte, Life Sciences innovators are digitalizing labor-intensive processes – freeing up their best talent to identify and resolve coverage and availability hurdles and to manage pricing and forecasting complexity.

We are headquartered in Philadelphia, PA (USA), with offices in: Ambler, PA (USA); Pune, India; and Medellín, Colombia. For more information, visit www.integrichain.com, or follow us on Twitter @IntegriChain and LinkedIn.

Job Description

Role Overview

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.

Key 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.
• MDM Product Ownership: Define requirements for HCO mastering, golden record creation, identity resolution, survivorship, hierarchies, relationships, stewardship workflows, and data quality rules.
• 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.
• Training & Documentation: Create and maintain product documentation, process flows, data definitions, user guides, training material, and operational handoff documentation.

Domain Expertise Required

• Strong understanding of Life Sciences / Pharma commercial and market access data domains.
• Experience with HCO Master Data Management, customer mastering, reference data, identity m