Director, Advanced Analytics, Data Science & AI

Role Summary

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. This role influences business partners, leads the execution and interpretation of AI/ML models, frames complex problems, and crafts compelling solutions. You will communicate clear and impactful data-driven insights across various teams and lead a high-performing team in a fast-paced, collaborative environment.

Responsibilities

• Provide an enterprise view of insights across Product/Brand and Therapeutic Areas on topics such as resource allocation, measurement & attribution of market mix, channel optimization, digital analytics, predictive models, and decision engines/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 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 to delivering recommendations.
• Break down technical concepts into digestible insights and guide diverse stakeholders on interpretation.
• Collaborate within the insights & analytics team, coordinating 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 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, 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

• Required: A minimum of 10 years of experience in advanced analytics in US commercial settings, including experience in biotech/pharmaceutical organizations or leading global management consulting firms.
• Required: Minimum of a bachelor's degree, preferably in engineering, economics, statistics, computer science, or a related quantitative field.
• Required: 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.
• Required: Extensive experience with traditional SQL and modern NoSQL data stores, plus large-scale distributed systems such as Hadoop or Snowflake/Databricks.
• Required: Strong experience with machine learning technology, big data stack, Python, R, and data visualization techniques.

Education

• Minimum of a bachelor's degree, preferably in engineering, economics, statistics, computer science, or a related quantitative field.