About This Role:
We are seeking a Director of Advanced Analytics, Data Science & AI to spearhead efforts in generating and delivering data-driven insights that bolster a brand, therapeutic area, or cross-brand/enterprise initiatives, enhancing our innovative capabilities. Positioned at the heart of our strategic endeavors, this role involves influencing business partners, leading the execution and interpretation of AI/ML models, framing complex problems, and crafting compelling solutions. You will play a pivotal role in communicating clear and impactful data-driven insights across various teams. This dynamic and fast-paced position within a highly collaborative environment covers a broad range of strategic topics critical to our business success. To excel, you must possess an unwavering passion for data-driven problem solving, a robust background in data science and AI, and a track record of leading and developing high-performing teams that drive meaningful change and innovation within our organization.

What You’ll Do:

• Provide an enterprise view of insights across Product/Brand and Therapeutic Areas 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, machine learning techniques, predictive algorithms, and AI-powered tools to extract actionable insights to drive US Commercial strategies and tactics.
• Manage and mentor a team of data scientists 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 effectively.
• Collaborate 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.
• 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.
• 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.

Who You Are:
You have a proven ability to prioritize and manage complex projects, establishing vision and direction within a fast-moving, challenging, and energetic commercial environment. As a highly collaborative and perceptive problem-solver, you demonstrate an ability to synthesize strategic insights and drive innovation. Your exceptional ability to influence, collaborate, and communicate with internal and external stakeholders at all levels sets you apart. You navigate complex scenarios with strategic foresight, ensuring alignment with business objectives and fostering impactful outcomes through data science.

Required Skills and Experience:

• A minimum 10 years of experience in advanced analytics in US commercial settings, including previous experience in biotech/pharmaceutical organizations or leading global management consulting firms.
• Minimum of a bachelor's degree, preferably in engineering, economics, statistics, computer science, or a related quantitative field.
• Business leadership skills to contextualize data science findings, recommendations, and implications for the business, influencing decision-making in areas such as resource allocation, marketing mix optimizations, and digital strategies.
• Extensive expertise and experience with both traditional SQL and modern NoSQL data stores, including SQL, and large-scale distributed systems such as Hadoop or working in Snowflake/Databricks.
• Strong experience with machine learning technology, such as big data stack, Python, R, and visualization techniques