Commercial Data Product Owner - Job ID: 2080

Ascendis Pharma•Princeton, NJ

7d•$180,000 - $190,000

About The Position

Ascendis Pharma is a global biopharmaceutical company focused on developing therapies for unmet medical needs using its TransCon® technology platform. The Commercial Data Product Owner supports the delivery, enhancement, and operational management of commercial data, analytics, reporting, and CRM capabilities. The role partners with business stakeholders, data engineers, analysts, and technology teams to define requirements, manage product backlogs, coordinate delivery, and support reliable day-to-day operation of commercial data products. The Product Owner is the primary owner of product execution, user support, issue resolution, and continuous improvement. The role manages product backlogs and requirements, supports Agile delivery and release processes, validates solutions, coordinates user acceptance testing, and monitors product performance, data quality, and usage. It also builds stakeholder relationships, communicates delivery progress and risks, supports users, and coordinates testing, training, and adoption. The position works with data models, business rules, KPIs, Power BI, Databricks, SQL, data warehouses, ETL/ELT processes, data pipelines, and CRM platforms including Veeva CRM and Model N. It supports data issue investigation and helps ensure adherence to governance, security, privacy, and compliance requirements. Required pharmaceutical industry experience includes supporting data, analytics, reporting, CRM, or technology solutions in the U.S. pharmaceutical, biotechnology, or healthcare industry. The role calls for understanding of the U.S. pharmaceutical commercial ecosystem and data domains, Market Access, patient services, and pharmaceutical trade and channel operations. The estimated salary range is $180,000–$190,000. Actual salary depends on factors including experience, qualifications, and geographic location. The position may be eligible for discretionary annual bonus or incentive compensation, discretionary stock-based long-term incentives, paid time off, and a comprehensive benefits package.

Requirements

3–5+ years of Product Owner, Business Analyst, Data Analyst, or related experience.
Experience supporting data, analytics, reporting, CRM, or technology solutions within the U.S. pharmaceutical, biotechnology, or healthcare industry.
Strong understanding of the U.S. pharmaceutical commercial ecosystem, including Sales, Marketing, Market Access, Patient Services, Specialty Pharmacy, HUB Services, and Trade Operations.
Experience with pharmaceutical data domains including HCP, HCO, patient, specialty pharmacy, claims, distributor, wholesaler, and CRM data.
Understanding of Market Access concepts including payer coverage, formularies, reimbursement, copay assistance, and patient affordability programs.
Experience supporting patient services operations and patient journey reporting.
Understanding of pharmaceutical trade and channel operations, including wholesalers, specialty distributors, chargebacks, inventory, and gross-to-net reporting.
Experience working with Commercial, Market Access, Patient Services, Trade, Specialty Pharmacy, or CRM stakeholders.
Experience with Power BI, Databricks, SQL, and reporting and analytics solutions.
Strong understanding of Agile delivery methodologies, requirements gathering, backlog management, testing, and production support.

Responsibilities

Manage and maintain the product backlog, ensuring work is defined, prioritized, and ready for development.
Gather, document, and refine business requirements, user stories, acceptance criteria, and process flows.
Support sprint planning, backlog grooming, testing, release coordination, and Agile delivery processes.
Coordinate with data engineers, analysts, and technology partners to implement enhancements and resolve defects.
Validate delivered solutions against business requirements and acceptance criteria.
Track product issues, risks, dependencies, and action items through completion.
Monitor product performance, data quality, and usage trends to identify improvement opportunities.
Coordinate user acceptance testing, defect management, and production releases.
Maintain product and process documentation and support materials.
Support continuous improvement through backlog management and business feedback collection.
Build relationships with business stakeholders, data consumers, analysts, and technology teams.
Facilitate requirements-gathering sessions and solution discussions.
Communicate delivery status, timelines, risks, and issue-resolution progress to stakeholders.
Support business users by answering questions, troubleshooting issues, and coordinating resolution efforts.
Coordinate user testing, training, and adoption activities.
Partner with governance, compliance, and security teams to ensure adherence to standards and policies.
Work with data models, business rules, KPI calculations, and reporting requirements.
Support Power BI dashboards, semantic models, datasets, and self-service reporting solutions.
Work with Databricks, SQL, data warehouses, ETL/ELT processes, and data pipelines.
Assist with root cause analysis of data quality issues, reporting discrepancies, integration failures, and production incidents.
Support CRM platforms including Veeva CRM, Model N, and related integrations.
Use Microsoft Copilot, AI tools, and automation capabilities to improve operational efficiency.
Ensure adherence to data governance, security, privacy, and compliance requirements.