EU remote
Commercial Data Product Owner - Job ID: 2080
About this role
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.