Executive Director of Clinical Data Engineering & Analytics (CDEA)

What you'll do

• Develop and implement a strategic vision for clinical data programming innovation using AI and automation.
• Lead global teams responsible for clinical data standards, safety, governance, and visualizations.
• Oversee the adoption of modern programming languages and tools to enhance efficiency and compliance.
• Create a centralized data strategy prioritizing regulatory compliance, business value, and AI-readiness.
• Partner with cross-functional teams to optimize end-to-end data flows from study start-up through submissions.
• Manage budgets and resource plans for large portfolios of studies and projects.
• Ensure consistent application of CDISC standards and contribute to the evolution of internal metadata libraries.

What we're looking for

• Extensive experience (16+ years) in biopharmaceutical data programming using SAS®, R, or Python.
• Proven track record of applying AI, machine learning, and advanced automation in statistical programming environments.
• Deep knowledge of drug development processes, regulatory expectations, and industry standards for programming.
• Demonstrated leadership in driving adoption of clinical data standards (CDISC) and participation in external working groups.
• Strong ability to lead global teams, manage budgets, and oversee project delivery across multiple studies/projects.
• Expertise in modernizing data foundations with a focus on compliance, business value, FAIR principles, and AI-readiness.