Director, Data Science & AI

Role Summary

Director of Advanced Analytics, Data Science & AI responsible for generating and delivering data-driven insights to support a brand, therapeutic area, or cross-brand/enterprise and contribute to the development and enhancement of innovative capabilities. This role involves influencing business partners, leading the execution and interpretation of AI/ML models, framing problems, and crafting solutions, all while clearly and compellingly communicating data-driven insights. This position is dynamic, fast-paced, highly collaborative, and covers a broad range of strategic topics that are critical to our business. You will be at the forefront of advancing our data science capabilities, nurturing a culture of innovation, and elevating the impact of analytics across the organization. With a passion for data-driven problem solving and a strong background in data science and AI, you will lead and develop high-performing teams to drive strategic business decisions.

Responsibilities

• Provide an enterprise view of insights across Product/Brand and Therapeutic Areas (TA) on key topics like Resource Allocation, Measurement & attribution of market mix, channel optimization, digital analytics, predictive models, decision engine/next best action.
• Lead the development and implementation of data-driven solutions using advanced analytics and machine learning techniques, predictive algorithms, and AI-powered tools.
• Create vision that enables the productization and automation of internally built Data science and AI solutions.
• Manage and mentor a team of data scientists (internal and external) and AI experts to drive innovation and deliver high-quality results.
• Influence end-to-end delivery of data science insights, from framing the business question, designing the solution, and delivering recommendations.
• Break down technical concepts into digestible insights and guide diverse stakeholders on how to interpret them.
• Collaborate within the insights & analytics team and coordinate efforts with the Insights & Analytics 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.
• Stay up to date with the latest advancements in data science and AI and apply them to improve processes and outcomes.
• Build university partnerships for driving innovation and leading-edge research techniques.
• Build 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 and maintain a high level of data integrity.
• Develop and manage budgets, resource allocation, and timelines for data science and AI projects.

Qualifications

• A minimum of 10 years of experience in advanced analytics in US commercial settings, previous experience in a biotech/pharmaceutical organization, or in leading global management consulting firm.
• Minimum of bachelor's degree, preferably in engineering, economics, statistics, computer science, or related quantitative field.
• Extensive expertise and experience with both traditional SQL and modern NoSQL data stores including SQL, and large-scale distributed systems such as Hadoop and/or working in Snowflake/Databricks.