Director, Advanced Analytics, Data Science & AI

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.

• 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.

• 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

• Medical, Dental, Vision, & Life insurances
• Fitness & Wellness programs including a fitness reimbursement
• Short- and Long-Term Disability insurance
• A minimum of 15 days of paid vacation and an additional end-of-year shutdown time off (Dec 26-Dec 31)
• Up to 12 company paid holidays + 3 paid days off for Personal Significance
• 80 hours of sick time per calendar year
• Paid Maternity and Parental Leave benefit
• 401(k) program participation with company matched contributions
• Employee stock purchase plan
• Tuition reimbursement of up to $10,000 per calendar year
• Employee Resource Groups participation