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Leading global pharma company is seeking a Sr. Director of Advanced Analytics, Data Science & AI. In this role, you will be responsible for generating and delivering data-driven insights to support brand, therapeutic area, or cross-brand/enterprise initiatives. You will play a crucial role in influencing business partners, leading the execution and interpretation of AI/ML models, framing problems, and crafting innovative solutions, all while effectively communicating data-driven insights.

Key Responsibilities: Provide an enterprise view of insights across Products/Brands and Therapeutic Areas (TA) on key topics such as Resource Allocation, Market Mix Measurement & Attribution, Channel Optimization, Digital Analytics, Predictive Models, and Decision Engine/Next Best Action. Lead the development and implementation of data-driven solutions using advanced analytics, machine learning techniques, predictive algorithms, and AI-powered tools to extract actionable insights and drive US Commercial strategies and tactics. Manage and mentor a team of internal and external data scientists and AI experts, fostering a culture of innovation and delivering high-quality results. Influence the end-to-end delivery of data science insights, from framing the business question and designing the solution to delivering recommendations. Simplify technical concepts into digestible insights and guide diverse stakeholders in interpreting them effectively. Collaborate cross-functionally within the insights & analytics team, coordinating efforts with counterparts to develop and execute a comprehensive brand analytics plan. Deliver consolidated insights and actionable recommendations to US Commercial teams, ensuring alignment with strategic objectives and insights findings. Work closely with cross-functional teams to ensure seamless integration of brand analytics insights into decision-making processes and strategic initiatives. Define and track key performance indicators to measure the success and impact of data-driven solutions. Continuously evaluate and enhance existing brand/TA data science capabilities, identifying opportunities for optimization and innovation to drive greater business impact and ROI. Stay up to date with the latest advancements in data science and AI, applying them to improve processes and outcomes. Represent the company as a thought leader in data science and AI at conferences, events, and industry forums. Build university partnerships to drive innovation and lead-edge research techniques. Establish strong relationships with key stakeholders across the enterprise, effectively communicating the value proposition of data science and fostering a culture of data-driven decision-making. Ensure compliance with data privacy and security regulations, maintaining a high level of data integrity. Develop and manage budgets, resource allocation, and timelines for data science and AI projects. Qualifications: Advanced degree (Ph.D. preferred) in Quantitative 10+ years of experience leading and developing high-performing teams in the field of data science and AI in commercial pharma Proven track record of generating and delivering data-driven insights to support commercial and therapeutic strategies. Strong background in advanced analytics, machine learning techniques, and AI-powered tools. Exceptional problem-solving skills and a passion for data-driven decision-making. Excellent communication and presentation skills, with the ability to convey complex technical concepts to diverse stakeholders. Experience in managing budgets, resource allocation, and project timelines