The Senior Director, Evidence Delivery leads a global organization responsible for transforming clinical data into high-quality, actionable evidence across the clinical development portfolio. This role drives the strategy, innovation, and operational excellence behind submission-ready datasets, analyses, and visualizations that support regulatory, market access, and publication needs. The Senior Director champions modernization through open-source programming, advanced analytics, automation, and AI/ ML. Reporting within SPDDS and QSDO, this leader ensures regulatory compliance, inspection readiness, and continuous improvement while building a future-ready evidence delivery organization. What You’ll DoDefine and execute the global Evidence Delivery strategy aligned with clinical development and regulatory objectives. Lead delivery of high-quality, submission-ready datasets, analyses, and visualizations. Drive adoption of open-source programming platforms such as R and Python. Champion AI/ ML, automation, and advanced analytics to improve efficiency and scalability. Establish reproducibility, transparency, and traceability frameworks for evidence generation. Ensure compliance with SOPs, GCP, CDISC standards, and regulatory requirements. Lead modernization initiatives including cloud computing and workflow automation. Partner cross-functionally with Statistics, CDM, Regulatory, Safety, Digital, and Market Access teams. Build, mentor, and retain a high-performing global evidence delivery organization. Represent Evidence Delivery in audits, inspections, and external industry forums. Who You Are. You are a visionary evidence and analytics leader who thrives in regulated environments and complex global organizations. You combine deep technical expertise with strategic thinking, innovation, and people leadership to deliver high-impact clinical evidence. Required Skills. Advanced degree in Statistics, Data Science, Computer Science, or related field 15 years experience in biotech, pharma, CRO, or clinical development environments. Senior leadership experience in evidence generation or statistical programming. Deep expertise in SAS and strong knowledge of CDISC standards. Strong understanding of clinical trial processes and regulatory requirements. Proven success leading teams in regulated environments. Experience implementing automation and advanced analytics solutions. Exceptional stakeholder engagement and communication skills. Preferred Skills. Experience applying AI/ ML in clinical evidence workflows. Management of external service providers and strategic technology partners#LI-TD 1 Job Level: Management.