Ascendis Pharma is a dynamic, fast-growing global biopharmaceutical company with locations in Denmark, Europe, and the United States. Today, we're advancing programs in Endocrinology Rare Disease and Oncology. Here at Ascendis, we pride ourselves on exceptional science, visionary leadership, and skilled and passionate colleagues. Guided by our core values of Patients, Science, and Passion, we use our TransCon® drug development platform to fulfill our mission of developing new and potentially best-in-class therapies to address unmet medical needs. Our culture fosters a place where skilled, adaptable, and highly resourceful professionals can truly make their mark. We offer a dynamic workplace for employees to grow and develop their skills. Role Summary The Data Operations Specialist is responsible for supporting day-to-day data operations, issue triage, and vendor coordination across commercial, medical, and patient services data platforms. This role serves as a key liaison between business stakeholders, internal IT teams, and external vendors to ensure data issues are identified, investigated, documented, and resolved efficiently. Let’s get specific on what the duties are: Data Issue Management & Vendor Coordination Act as the primary point of contact for identifying, documenting, and tracking data-related issues Create detailed tickets and work directly with external vendors (e.g., IQVIA, Veeva Systems) to troubleshoot and resolve data discrepancies Coordinate testing and validation of vendor-delivered fixes to ensure issues are fully resolved before closure Maintain clear documentation of issues, root causes, and resolutions Data Investigation & Root Cause Analysis Partner with internal stakeholders to investigate data questions and anomalies across systems Perform deep-dive analysis across multiple platforms (CRM, data warehouse, vendor feeds) to identify root causes Collaborate with internal IT teams to trace data flow issues across integrations (e.g., SFTP, APIs) Escalate and route issues appropriately based on findings Ad Hoc Reporting & Data Support Pull and analyze ad hoc data requests to support business questions Validate data accuracy and reconcile discrepancies across sources Support reporting tools such as Tableau or Power BI Stakeholder Engagement Serve as a bridge between business teams (Commercial, Medical, Patient Services) and technical teams Translate business questions into structured data investigations Provide clear communication on issue status, timelines, and resolutions Data Quality & Continuous Improvement Identify recurring data issues and recommend process improvements Support data quality monitoring and governance efforts Contribute to documentation of data flows, business rules, and standard operating procedures
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