Leads agile, project-based learning initiatives across global pharmaceutical commercialization functions. Conducts learning needs assessments, designs and deploys skills-based learning pathways, integrates AI and enterprise platforms, manages LEAP and vendor delivery, analyzes learner data, and evaluates program effectiveness. Partners with global stakeholders across Commercial, Medical, Market Access, IT, HR, Legal, Regulatory, and Compliance while managing priorities, risks, governance, and continuous improvement.

Leads hands-on data science and advanced analytics for drug development using clinical trial, real-world, omics, imaging, and biomarker data. Develops predictive models, machine learning and statistical analyses, reproducible pipelines, data quality frameworks, and scalable cloud-based workflows. Collaborates with statisticians, clinicians, translational scientists, engineers, and data teams to support clinical decisions, biomarker discovery, precision medicine, and innovative trial strategies. Provides technical mentorship, communicates findings, and coordinates multiple concurrent projects.