Product Manager - Data Science (MDM / Net Revenue)

IntegriChain • Philadelphia, PA

22h

About The Position

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 .

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