Jobs › Companies › Ascendis Pharma › Commercial Data Product Owner - Job ID: 2080

Sobre este puesto de Commercial Data Product Owner - Job ID: 2080 en Ascendis Pharma

Ascendis Pharma · Presencial · Princeton, New Jersey, United States

Ascendis Pharma is a global biopharmaceutical company committed to making a meaningful difference in patients’ lives. Guided by our core values of Patients, Science, and Passion, we are applying our innovative TransCon® technology platform to fulfill our mission of developing new therapies that demonstrate best-in-class potential to address unmet medical needs.

At our headquarters in Hellerup, Denmark, research facilities in Heidelberg, Germany, and additional offices across Europe and the United States, we are advancing programs in our Endocrinology Rare Disease and Oncology portfolios. We also collaborate with partners on the development of TransCon-based products in other therapeutic areas and markets.

 The Commercial Data Product Owner supports the delivery, enhancement, and operational management of commercial data, analytics, reporting, and CRM capabilities. This role partners closely with business stakeholders, data engineers, analysts, and technology teams to define requirements, manage product backlogs, coordinate delivery activities, and ensure reliable day-to-day operation of commercial data products. The Product Owner serves as the primary owner of product execution, user support, issue resolution, and continuous improvement activities.

Product Ownership & Execution

  • 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 activities, release coordination, and Agile delivery processes.
  • Coordinate with data engineers, analysts, and technology partners to ensure successful implementation of enhancements and defect resolution.
  • Validate delivered solutions against business requirements and acceptance criteria.
  • Track and manage 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 (UAT), defect management, and production release activities.
  • Maintain product documentation, process documentation, and support materials.
  • Support continuous improvement through ongoing backlog management and business feedback collection.

Stakeholder Management & Business Partnership

  • Build strong 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 addressing 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.

Technical & Data Competencies

  • Understand and 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.
  • Utilize Microsoft Copilot, AI tools, and automation capabilities to improve operational efficiency.
  • Ensure adherence to data governance, security, privacy, and compliance requirements.

Pharmaceutical Industry Experience (Required)

  • Required 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 working 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.

The estimated salary range for this position is $180-190K. Actual salary determination is dependent on a variety of factors some of which include: experience, qualifications, and geographic location. This position may be eligible for a discretionary annual bonus or an incentive compensation plan (eligibility varies based on role and position level), 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 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, reporting and analytics solutions.
  • Strong understanding of Agile delivery methodologies, requirements gathering, backlog management, testing, and production support.

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
  • Unique offerings of 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

Ascendis Pharma is proud to be an equal opportunity employer. We are committed to creating an inclusive environment for all employees.

A note to recruiters:

We do not allow external search party solicitation.  Presentation of candidates without written permission from the Ascendis Pharma Inc Human Resources team (specifically from: Talent Acquisition Partner or Human Resources Director) is not allowed.  If this occurs your ownership of these candidates will not be acknowledged.

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Cómo se compara este salario de Product Owner

Este puesto paga $185,000/yr — por encima de el rango típico para los puestos de Product Owner.

$84,839 la mediana de $147,500 $203,310

Rango típico $112,600–$174,600/yr, a partir de 245 ofertas comparables de Product Owner en JobsRadar (salario anualizado en USD). Ver datos salariales de Product Owner →

Sobre Ascendis Pharma

Founded in Copenhagen, Denmark in 2007, Ascendis Pharma is applying its innovative platform technology to build a leading, fully integrated biopharma company focused on making a meaningful difference in patients’ lives. Guided by our core values of patients, science and passion, we utilize our innovative TransCon™ technology platform to create new and potentially best-in-class therapies.

Today, we’re advancing programs in Endocrinology Rare Disease, Oncology, and Ophthalmology. We currently have five product candidates in clinical development: three in Endocrinology Rare Disease and two in Oncology. In addition, Ascendis recently announced new pre-clinical programs in Ophthalmology.

We are a dynamic, growing biopharma company with headquarters in Copenhagen and additional offices and research facilities in Germany (Heidelberg, Munich, and Berlin) and the United States (Palo Alto, California, and Princeton, New Jersey).

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