Global Head of Clinical Data and Business Strategy

About the Job

Join the engine of Sanofi’s mission where deep immunoscience meets bold, AI-powered research. In R&D you’ll drive breakthroughs that could turn the impossible into possible for millions. Sanofi is accelerating its modernization journey and supporting its Play to Win strategy to become more focused, integrated, agile, and efficient. The current wave of digital technologies in artificial intelligence and Generative AI offers enormous opportunities to transform clinical development and redefine what’s possible in drug discovery and patient care.

To harness these opportunities, Sanofi created the Clinical Data & AI Processing division within Clinical Sciences and Operations.

You will be a pivotal business leader who drives the clinical data technology roadmap and business strategy, transforming clinical data processing and analytics to enhance drug development processes and patient outcomes.

• Lead the Clinical Data Technology pillar by partnering with clinical development teams to ensure seamless data flow and study execution across therapeutic areas.
• Collaborate with the Global Head of AI‑Driven Innovations to develop and execute a comprehensive strategy that revolutionizes traditional clinical data processing through AI‑powered solutions.
• Enable real‑time access to clinical data from increasingly diversified sources, reimagining data management with a multidisciplinary approach to data quality and intelligence generation.
• Define and execute the strategic roadmap for AI‑powered clinical data flows, leading process optimization initiatives that enhance efficiency and data quality.
• Establish and maintain robust governance frameworks for system validation, change management, quality assurance, and regulatory compliance.
• Drive standardization and innovation in clinical database design aligned with CDISC standards and regulatory requirements.
• Partner with Procurement, Digital, and Vendor Excellence teams to develop strategic partnerships with technology providers, CROs, and academic institutions for real‑time access to eHR, wearables, mobile health apps, and other emerging data sources.
• Evaluate and integrate innovative data collection methodologies that enhance patient engagement and data richness, ensuring interoperability and integration across traditional and novel sources.
• Define and execute a comprehensive business strategy, including sourcing strategies, in a highly dynamic digital transformation environment.
• Represent the division in cross‑functional strategic planning and enterprise‑wide digital transformation initiatives.
• Drive thought leadership through industry conferences, publications, and collaborative forums.
• Establish and maintain relationships with regulatory agencies, industry consortia, and external partners.
• Mentor and develop a culture of innovation, continuous learning, and technical excellence within the Clinical Data Technology & Business Strategy team.
• Collaborate with senior leadership to align department goals with overall company strategy and Play to Win objectives.
• Ensure AI and data processing activities comply with regulatory, ethical, and industry standards (FDA, EMA, ICH‑GCP) and safeguard data privacy and security.
• Champion responsible AI practices and ethical data stewardship across the organization.
• Manage risk for data integrity, patient privacy, and regulatory compliance.

• Advanced degree (Master’s or PhD) in Life Sciences, Computer Science, Data Science, Biostatistics, or related field; a Bachelor’s degree with extensive leadership experience may also qualify.
• Minimum 10 years of progressive experience in leadership roles within clinical development, data management, biostatistics, AI, or related fields in the pharmaceutical or healthcare industry.
• Extensive expertise in clinical data management and analytics throughout the entire clinical development lifecycle.
• Strong knowledge of clinical database design, data management planning, and CDISC standards (SDTM, ADaM, CDASH).
• Deep understanding of clinical trial processes, regulatory requirements (FDA, EMA, ICH‑GCP), and data…