Commercial Data Product Owner - Job ID: 2080

Ascendis Pharma•Princeton, NJ

About The Position

Ascendis Pharma is a global biopharmaceutical company developing therapies to address unmet medical needs. The Commercial Data Product Owner supports the delivery, enhancement, and operational management of commercial data, analytics, reporting, and CRM capabilities. The role works closely with business stakeholders, data engineers, analysts, and technology teams to define requirements, manage product backlogs, coordinate delivery, and maintain 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 planning, development, testing, and release activities; coordinates implementation and defect resolution; validates solutions; and monitors product performance, data quality, and usage. It also maintains product documentation and coordinates user acceptance testing, training, and adoption. The position builds partnerships with business and technical stakeholders, facilitates requirements and solution discussions, communicates delivery progress and risks, supports business users, and works with governance, compliance, and security teams. Technical work includes supporting Power BI dashboards, semantic models, datasets, self-service reporting, Databricks, SQL, data warehouses, ETL/ELT processes, data pipelines, and CRM platforms including Veeva CRM and Model N. The role also supports root cause analysis, data governance and compliance, and use of Microsoft Copilot, AI tools, and automation. Required industry experience includes supporting data, analytics, reporting, CRM, or technology solutions in the U.S. pharmaceutical, biotechnology, or healthcare industry. The role requires familiarity with the U.S. pharmaceutical commercial ecosystem and relevant data domains, Market Access, patient services, and pharmaceutical trade and channel operations.

Requirements

  • 3–5+ years of Product Owner, Business Analyst, Data Analyst, or related experience.
  • Experience supporting data and analytics products within the U.S. pharmaceutical, biotechnology, or healthcare industry.
  • 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.
  • 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.

Responsibilities

  • Manage and maintain the product backlog, ensuring work is clearly 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 on enhancements and defect resolution.
  • 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, process, and support documentation.
  • Collect business feedback and support continuous improvement through backlog management.
  • Build working 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, 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.
  • 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.

Benefits

  • 401(k) plan with company match
  • Medical, dental, and vision plans
  • Company-offered Life and Accidental Death & Dismemberment (AD&D) insurance
  • Company-provided short and long-term disability benefits
  • Pet Insurance and Legal Insurance
  • Employee Assistance Program
  • Employee Discounts
  • Professional Development
  • Health Saving Account (HSA)
  • Flexible Spending Accounts
  • Various incentive compensation plans
  • Accident, Critical Illness, and Hospital Indemnity Insurance
  • Mental Health resources
  • Paid leave benefits for new parents
  • Paid time off
  • Comprehensive benefits package
  • Discretionary annual bonus or incentive compensation plan (eligibility varies by role and position level)
  • Discretionary stock-based long-term incentives
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