Impress employers and recruiters.
Choose from hundreds of resume examples.

Target Resume Now

Tailor your resume to this Product Manager - Data Management & Data Products role.

Rezi rewrites your resume against IntegriChain's job description. Free.

Resume score gauge reading 58 out of 100

Don't guess if your resume is good enough.

See how it scores against the Product Manager - Data Management & Data Products posting at IntegriChain — free, in seconds.

About the Role

We are looking for an experienced Product Manager to help define and deliver enterprise data management and data product capabilities supporting IntegriChain's Life Sciences solutions. You will own the roadmap and requirements for capabilities that ingest, standardize, integrate, govern, enrich, and deliver high-quality data across our platform.

Responsibilities

Own and evolve the product roadmap for enterprise data management and data products, aligning investments with customer needs, product strategy, and business objectives.
Partner with customers, domain SMEs, engineering teams, and internal stakeholders to identify data challenges and validate problems before defining solutions.
Define capabilities for acquiring, integrating, standardizing, enriching, governing, and publishing data for operational, analytics, AI, and reporting use cases.
Translate business and data problems into epics, features, user stories, acceptance criteria, process flows, and data requirements that engineering teams can confidently implement.
Partner with Data Engineering on ingestion, ETL/ELT, source-to-target mappings, transformations, validation, reconciliation, and downstream data delivery.
Define product requirements around data quality, validation, lineage, metadata, reference data, stewardship, monitoring, and governance.
Support capabilities for managing critical business entities such as healthcare organizations, customers, outlets, products, and other reference/master data.
Enable reusable, well-defined data assets, semantic models, and governed data products that support reporting, analytics, and AI applications.
Work with domain teams to understand data requirements across areas such as Chargebacks, Government Pricing, contracts, claims, sales, customer, and reference data.
Support productization and integration of Life Sciences datasets and identifiers such as 844, 867, 852, HIN, DEA, NPI, NCPDP, and 340B.
Facilitate prioritization across stakeholders using business value, customer impact, technical dependencies, data quality, risk, and strategic alignment.
Partner with Engineering and QA through backlog refinement, sprint planning, estimation, testing, and delivery while proactively managing risks and dependencies.
Define acceptance criteria and test scenarios, coordinate UAT, and ensure traceability between requirements and delivered capabilities.
Lead workshops and working sessions across Product, Engineering, Data Science, Analytics, Operations, customer-facing teams, and leadership.
Drive release readiness, documentation, rollout communication, adoption, and post-release feedback.

Requirements

7+ years of experience in Product Management, Product Ownership, Business Analysis, or Data Product Management, preferably working with enterprise data products or platforms.
Demonstrated ownership of product roadmaps, requirements, backlogs, prioritization, and delivery of complex technology products.
Experience working with one or more areas such as: Enterprise data platforms, Data integration / ETL / ELT, Data warehousing, Data quality, Data governance, Reference or master data, Analytics / reporting data products, Metadata or semantic layers.
Ability to translate business problems into clear data and technical requirements without needing to be the engineer implementing the solution.
Experience partnering effectively with Data Engineering, Software Engineering, QA, Analytics, and business/domain teams.
Strong understanding of how data moves from source systems through transformation and quality processes into operational, reporting, analytics, or AI applications.
Proven ability to work in Agile/Scrum environments and manage product delivery using tools such as JIRA and Confluence.
Strong analytical, problem-solving, documentation, and stakeholder-management skills.
Excellent written and verbal communication skills, with the ability to communicate effectively with both business and technical audiences.
Experience with Life Sciences, healthcare, pharmaceutical commercial data, Market Access, or Net Revenue.
Familiarity with healthcare organization/customer data and industry identifiers such as HIN, DEA, NPI, NCPDP, 340B, 844, 852, or 867.
Experience with Snowflake, dbt, modern cloud data platforms, data warehouses, semantic models, or analytics data products.
Exposure to Master Data Management or reference data solutions such as Reltio, Informatica MDM, Veeva Network, OneKey, or similar platforms.
Familiarity with concepts such as entity resolution, matching, hierarchies, relationships, survivorship, and data stewardship.
Experience supporting governed data assets used by analytics, machine learning, or generative AI applications.
Experience working with distributed onshore/offshore engineering teams.

Skills

Product Management
Product Ownership
Business Analysis
Data Product Management
Enterprise data platforms
Data integration
ETL/ELT
Data warehousing
Data quality
Data governance
Reference data
Master data
Analytics data products
Reporting data products
Metadata
Semantic layers
Agile/Scrum
JIRA
Confluence
Life Sciences data
Healthcare data
Net Revenue data
Market Access
Snowflake
dbt
Cloud data platforms
Master Data Management (MDM)
Entity resolution
Matching
Hierarchies
Relationships
Survivorship
Data stewardship
Machine learning
Generative AI

Location

Philadelphia, PA (USA)
Ambler, PA (USA)
Pune, India
Medellín, Colombia

Work Type

Hybrid

Experience Level

7+ years of experience

Benefits

Excellent and affordable medical benefits
Flexible Paid Time Off
Robust Learning & Development opportunities including over 700+ development courses free to all employees

About the Company

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.

Equal Opportunity

IntegriChain is committed to equal treatment and opportunity in all aspects of recruitment, selection, and employment without regard to race, color, religion, national origin, ethnicity, age, sex, marital status, physical or mental disability, gender identity, sexual orientation, veteran or military status, or any other category protected under the law.
IntegriChain is an equal opportunity employer; committed to creating a community of inclusion, and an environment free from discrimination, harassment, and retaliation.