Associate Director - Clinical Data Analytics & Technology

Experteer Overview

You collaborate with global colleagues to accelerate trial delivery, enhance data quality, and support data-driven decision-making for patients. You will drive AI-first innovation and scalable data platforms within a hybrid work model.

• Lead transition to next-generation Clinical Data Operations by embedding analytics, automation, and digital innovation into core processes
• Drive adoption of AI-first strategies and emerging technologies to accelerate transformation and operational excellence
• Mentor and develop talent in clinical data analytics, RBQM, and technology solutions
• Execute the Clinical Data Operations AI innovation strategy translating priorities into measurable outcomes
• Lead cross-functional initiatives across Global Clinical Operations and Clinical Data Operations to advance priorities
• Oversee end-to-end Clinical Data Analytics and Technology activities including analytics, reporting, visualization, RBQM, and technology implementation
• Develop innovative approaches for risk-based data review and monitoring leveraging automation and AI to improve quality and efficiency
• Ensure delivery of compliant, scalable, and secure solutions aligned with GCP, GxP, GDPR, HIPAA, and data governance standards

• Significant leadership experience within Clinical Data Operations, Clinical Data Management, Clinical Programming, or related clinical research environments
• Proven track record of building and developing high-performing teams
• Deep understanding of clinical trial operations, clinical data review, RBQM, and end-to-end data lifecycle
• Strong knowledge of AI, ML, automation, cloud platforms, and BI solutions (Power BI, Tableau) with application to clinical development or data transformations
• Experience with modern clinical data technologies (EDC, CDR, SCE, J-Review)
• Ability to translate clinical and business needs into analytics and technology strategies across functions
• Familiarity with CDISC standards (SDTM), data governance, GCP and GxP compliance
• Fluency in English (written and spoken)

• hybrid work options
• minimum 14 weeks paid parental leave
• insurance plans
• retirement plans
• wellbeing resources
• global recognition programs