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Executive Director, Clinical Data Management – Europe

Job in 6000, Luzern, Kanton Luzern, Switzerland
Listing for: Jobtailor
Full Time position
Listed on 2026-07-19
Job specializations:
  • IT/Tech
    Change Management, Data Analyst, Data Science Manager
  • Management
    Change Management, Data Science Manager
Salary/Wage Range or Industry Benchmark: 180000 - 240000 CHF Yearly CHF 180000.00 240000.00 YEAR
Job Description & How to Apply Below
Location: Luzern

Responsibilities

  • Reporting directly to the Head of their assigned functional area and acting as a member of their Leadership Team
  • Leads global geographic strategy and performance across assigned region / geography.
  • Responsible for translating functional area and GDMS strategic imperatives into region-specific priorities and plans.
  • Partners with GDMS and GCTO leaders to drive global alignment, standardization, and transformation of data-management practices
  • Represents their function and geography network in GDMS LT forums, and ensure resource excellence, capability growth, and operational readiness worldwide.
  • Oversee multiple regions/countries to ensure excellence in functional management and regulatory compliance.
  • Collaborate with cross-functional (non-GDMS) leadership and enterprise support functions within assigned geographies to achieve strategic and operational goals and objectives.
  • Embed process-excellence and governance frameworks across regions.
  • Shape and implement digitally enabled operating models; drive global alignment, standardization, and transformation.
  • Champion a culture of collaboration, innovation, and accountability across the network; ensure ongoing improvement and operational excellence.
  • Partner with leaders across GDMS, GCTO, and Global Clinical Development (GCD) to drive consistent rollout / adoption of capabilities.
  • Serve as escalation point for country/regional issues; oversee region-specific risk, escalation, and capacity-management processes; ensure local regulatory, business, and labor compliance.
  • Drive adoption of leading-edge technology deployment principles across relevant GCTO organizations and functions.
  • Lead complex cross-functional work streams driving automation, data integrity, and operational excellence from idea/design through implementation and value realization.
  • Lead recruiting and hiring and oversee performance management activities, including management of sensitive employee-relations matters in partnership with HR.
Requirements
  • Minimum of bachelor's degree with 10+ years of leadership experience
  • Enterprise-level expertise in GDMS data operations, governance, and digital enablement strategy.
  • Strong understanding of end-to-end data management processes and systems used for data collection, application of data standards, cleaning/review, reporting, governance, and use of operational and quality metrics to monitor performance.
  • Proven experience implementing risk-based and digital data practices across multiple regions; ability to integrate regional business intelligence into enterprise-level strategy.
  • Deep understanding of inspection/audit processes and ability to contribute to audit readiness.
  • Deep knowledge of ICH/GCP (International Council of Harmonization - Good Clinical Practices) guidelines and how they apply to clinical or safety data management activities.
  • Deep understanding of quality standards and frameworks across GDMS/ GCTO; experience with data standards, data flow, and study start-up systems; ability to define and implement standards for integration, reuse, and scalability of data, tools, and solutions across regions.
  • Advanced knowledge of data management industry best practices, innovation levers, and regulatory evolution shaping data management globally.
  • Deep expertise in data-product governance (definitions, lineage, quality controls, lifecycle) to maintain a global single source of truth; deep understanding of clinical trial lifecycle.
  • Advanced knowledge of regional risk, escalation, and capacity-management processes.
  • Advanced ability to use analytical and forecasting tools (dashboards, capacity models) to inform resourcing, planning, and operational decisions.
  • Ability to implement and execute inspection-readiness practices in collaboration with Process & Quality partners.
  • Demonstrated ability to drive high-quality clinical data collection design, validation and delivery in alignment with protocol requirements.
Certifications & Qualifications
  • bachelor's degree
  • GCP certification
  • ICH certification
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