About This Role: The Associate Director, Data Science & AI holds a crucial position within our Data Science team, spearheading the creation of cutting-edge modeling solutions that facilitate strategic business decisions across Marketing, Medical, Sales, and Access. In this role, you will lead impactful data science projects focusing on marketing optimization, patient-level predictive analytics, machine learning-based personalization, and strategies to enhance field force effectiveness. As a key contributor, you will drive initiatives while collaborating with cross-functional teams to ensure that data outputs are not only actionable and accurate but also scalable and aligned with brand priorities. Your role as a thought partner to commercial leadership will involve advocating for the use of data and AI to deliver substantial business value. You will fit into our business structure as an integral part of the team, contributing to the growth and innovation of our data-driven strategies.

What You’ll Do:

• Execute the long-term data science and AI vision, ensuring alignment with enterprise capability roadmaps and commercial priorities.
• Lead the end-to-end development, deployment, and scaling of data science solutions, including predictive models and advanced NLP and LLMs.
• Collaborate with IT on the design of ML Ops and Dev Ops, building data science and AI as products.
• Act as a trusted partner to insights and marketing teams, demonstrating rigor and knowledge in data science algorithms.
• Serve as the primary data science partner for U.S. commercial brand teams, translating business objectives into analytical frameworks.
• Guide business stakeholders through insight interpretation and activation, ensuring outputs are integrated into workflows.
• Provide technical expertise and thought leadership on the development of analytical tools and proprietary data products.
• Promote analytical rigor, responsible experimentation, and model governance best practices.
• Collaborate with a high-performing team of data scientists, encouraging learning and experimentation.
• Design and operationalize Next Best Action strategies using machine learning to optimize field force effectiveness.
• Develop and scale Patient 360 models and predictive targeting algorithms to support AI-driven lead generation.
• Guide measurement and ROI optimization efforts through marketing/media mix modeling and budget allocation.
• Manage relationships with external analytics partners, ensuring alignment with internal teams for solution delivery.

Who You Are: 

You are a data scientist with strong methodological expertise and business acumen, possessing a leadership presence and a passion for tackling ambiguous challenges. You excel at the intersection of data science and actionable insights, building scalable machine learning pipelines that inform strategic decisions. As a functional expert, you also enjoy guiding and mentoring team members, fostering collaborative problem-solving environments. Your understanding of responsible AI principles and standards complements your technical proficiency, making you an ideal candidate for this role.

Required Skills:

• Minimum 7 years of hands-on analytics or data science experience, including at least 4 years leading data science product builds, teams, or programs.
• Strong command of statistical modeling supervised and unsupervised learning, A/B testing, and time-series forecasting.
• Strong experience in marketing mix, portfolio optimization, decision engine build, and Gen AI product design.
• Experience deploying data science solutions in a commercial setting, ideally within pharma, biotech, or healthcare.
• Proficient in Python, R, SQL, and Snowflake; experience with Power BI, Tableau, or other data visualization tools.
• Proven track record of designing and implementing Next Best Action strategies, marketing optimization models, and omnichannel analytics.
• Experience working with APLD, PlanTrak, specialty pharmacy, or claims datasets.
• Strong communication and influencing skills; comfortable presenting to senior stakeholders and cross-functional teams.

Preferred Skills:

• Master’s degree in data science, Statistics, Engineering, Computer Science, Business Analytics, or related field.

 

Job Level: Management

Additional Information

The base compensation range for this role is: $162,000.00-$223,000.00