Ascendis Pharma
Biopharmaceutical
Manager,ITDataOperationsSpecialist
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“Manager, IT Data Operations Specialist at Ascendis Pharma. Skills: Data Operations, Data Quality, Issue Resolution, Vendor Management. Support day-to-day data operations. Triage data issues”
Industry & Context.
Problem-solving; Investigative mindset; Troubleshoot; Root cause analysis
5–15 days per year travel
What They're Looking For.
Must Have
Bachelor's degree in data Analytics, Information Systems, or related field, 2–4 years of experience in data operations, analytics, or a related role, Experience working with external vendors and managing issue resolution workflows, SQL skills and ability to query and validate datasets, Experience with ticketing tools
Nice to Have
Familiarity with pharma data ecosystems, Experience with CRM platforms such as Veeva CRM, Exposure to cloud data platforms, Understanding of data governance and compliance requirements
What You'll Do.
Support day-to-day data operations
Coordinate with vendors
Identify data-related issues
Document data-related issues
Track data-related issues
Create detailed tickets
Troubleshoot data discrepancies
Resolve data discrepancies
Coordinate testing of vendor fixes
Validate vendor fixes
Maintain documentation of issues
Maintain documentation of root causes
Maintain documentation of resolutions
Investigate data questions
Investigate data anomalies
Perform deep-dive analysis
Trace data flow issues
Escalate issues appropriately
Route issues appropriately
Pull ad hoc data requests
Analyze ad hoc data requests
Support business questions
Validate data accuracy
Reconcile discrepancies across sources
Support reporting tools
Serve as bridge between business and technical teams
Translate business questions into data investigations
Provide clear communication on issue status
Provide clear communication on timelines
Provide clear communication on resolutions
Identify recurring data issues
Recommend process improvements
Support data quality monitoring
Support governance efforts
Contribute to documentation of data flows
Contribute to documentation of business rules
Contribute to documentation of standard operating procedures
How You'll Work.
Team & Collaboration
Internal IT teams; External vendors; Business stakeholders; Internal stakeholders; Business teams; Technical teams
Communication Scope
Clear communication
Process & Methodology
Issue resolution workflows
Full Job Description
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
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