Executive Director, Head of Real-World Analytics and Programming

Responsibilities

• Set and execute the enterprise strategy and multi-year roadmap for real-world analytics and programming in support of portfolio, Clinical Development, Safety, Medical Affairs, HEOR/RWE, and epidemiology priorities.
• Provide leadership of the cross-functional matrix delivering Medical Affairs interventional studies.
• Lead the assessment and fit-for-purpose use of RWD sources, including claims, electronic health records, registries, genomic/-omics data, and linked datasets.
• Provide scientific and operational leadership for RWE study design, protocol development, statistical analysis planning, programming, interpretation, and final reporting.
• Ensure delivery of evidence supporting regulatory submissions, product value, and critical development decisions, natural history studies, clinical trial design and optimization, comparative effectiveness and safety studies, healthcare resource utilization studies, post-approval safety studies, and rapid feasibility and landscape assessments.
• Establish fit-for-purpose epidemiologic, biostatistical, and data-science methods that ensure scientific rigor, reproducibility, and alignment with global regulatory guidance.
• Lead the development and adoption of scalable programming standards, reusable analytic assets, quality-control processes, and documentation practices.
• Partner with IT, data engineering, and other functions to define data requirements, establish data-ingestion and curation pipelines, and enable analytics environments and data-lake capabilities.
• Provide thought leadership in advanced analytic approaches, including causal inference, predictive modeling, and AI/ML.
• Translate complex analyses into clear, actionable insights and recommendations for executive leadership, regulatory agencies, payers, external collaborators, and scientific audiences.
• Lead and contribute to governance, portfolio, feasibility-review, and multidisciplinary teams.
• Build and lead a high-performing, multidisciplinary team; foster a strong talent and capability-development culture.
• Own functional resourcing, prioritization, and budget planning.

Required Skills, Experience and Education

• PhD, DSc, DrPH, MPH, or other relevant advanced degree in epidemiology, biostatistics, health outcomes, data science, or a related scientific discipline
• At least 15 years of progressively responsible experience in real-world analytics, programming, and evidence generation within pharmaceutical or biotechnology organizations
• Demonstrated success leading complex RWD/RWE programs from strategy through execution
• Demonstrated experience building, scaling, or transforming real-world analytics, programming, or data-science capabilities
• Strong expertise with RWD sources, including claims, EHR, registries, -omics data, and linked datasets
• Analytic tools such as R, SAS, and Python
• Demonstrated technical knowledge of epidemiologic, biostatistical, and data-science methods
• Knowledge of drug and clinical development processes for genomic/targeted medicines
• Excellent analytic and problem-solving skills
• Exceptional leadership, communication, and influence skills

Preferred Skills

• Experience in oncology real-world analytics and programming
• Track record of publications or presentations in real-world analytics and programming, epidemiology, or data science
• Experience aligning RWE strategy to regulatory and payer evidence planning
• Experience engaging with global regulatory authorities and interpreting evolving guidance relevant to RWD and RWE
• Demonstrated experience applying advanced analytic techniques, including causal inference, predictive modeling, and/or AI/ML