Senior Director, Advanced Analytics and Data Science

Key Responsibilities

• Define and lead the advanced analytics capability roadmap, aligning analytics investments with priorities across Commercial, Medical Affairs, and Clinical Operations and measurable enterprise outcomes.
• Develop patient journey and evidence-oriented analytics using longitudinal healthcare data, claims, prescription, specialty pharmacy, EHR, clinical trial, real-world data, and other relevant data sources to identify key moments of intervention, access barriers, adherence challenges, scientific insights, and CT acceleration.
• Design and scale analytics solutions that support omnichannel engagement, customer segmentation, campaign measurement, field effectiveness, medical engagement, and CT acceleration.
• Lead the development and deployment of predictive models, machine learning capabilities, next-best-action solutions, and decision-support tools that enable more personalized, evidence-based, and effective engagement and operational planning.
• Shape and evangelize the organization’s AI strategy for analytics, including practical use cases for generative AI, agentic AI, natural language interfaces, intelligent automation, and decision intelligence across Commercial, Medical Affairs, and Clinical Operations.

Cross-Functional Leadership and Business Partnership

• Serve as a strategic partner to Commercial, Medical Affairs, and Clinical Operations leaders by translating business, scientific, and operational questions into analytical approaches, data requirements, and actionable recommendations.
• Bridge business, medical, clinical, and technical teams by converting analytics outputs into clear narratives, decision frameworks, and implementation plans for stakeholders at all levels.
• Partner with IT, Data Engineering, Legal, Privacy, Compliance, Medical, and Clinical Operations stakeholders to ensure analytics products, AI/ML models, and data practices meet applicable privacy, security, scientific, regulatory, and ethical expectations.
• Champion responsible AI practices by promoting transparency, model explainability, bias awareness, human oversight, fit-for-purpose validation, and appropriate governance for AI-enabled decision support.
• Collaborate with internal teams and external vendors to deliver high-quality analytics solutions efficiently and with strong adoption across the organization.

Team Leadership and Organizational Enablement

• Serve as a thought leader in driving the creation, responsible adoption, and continuous evolution of advanced analytics, AI, and machine learning capabilities across Commercial, Medical Affairs, and Clinical Operations teams.
• Lead, mentor, and develop a high-performing team of data scientists, analysts, and analytics partners, while managing external resources as needed.
• Establish practical operating models, standards, and best practices that improve analytics quality, scalability, and speed to insight.
• Promote a culture of data-driven decision-making by increasing analytics literacy, building stakeholder confidence, and embedding insights into commercial planning, medical strategy, evidence generation, and clinical operations execution.
• Continuously identify opportunities to modernize tools, platforms, processes, and AI-enabled workflows that improve the impact, efficiency, and scalability of analytics delivery.