Associate Director, Enterprise Data Science

As an Associate Director within the INDIGO | AI Innovation Lab, you will lead the development and scaling of data science capabilities while acting as a technical expert and mentor within the team. You will take ownership of key projects and work closely with senior stakeholders to deliver data science-driven solutions that align with enterprise goals. This is a hands-on role where you will develop and implement cutting-edge data science solutions, build and maintain digital products, and enable the democratization of data through scalable tools and best practices. The ideal candidate will have a strong technical background, excellent data science and visualization skills, good communication skills, an exceptional sense of ownership and accountability in their work, and experience in the pharmaceutical or health-related industry. This role is based in our Waltham location and would work a hybrid office schedule.

Responsibilities

• Lead the Development of Data Science Capabilities
• Design and build advanced digital tools, frameworks, and platforms that drive organizational efficiency and scalability
• Lead and manage high-impact data science initiatives across the organization, including scope, timelines, and resource needs
• Evangelize and contribute to scaled adoption of ML and AI capabilities across the organization
• Stay updated with advancements in data science and integrate emerging technologies into solutions where applicable
• Support and Scale Data Science Use Cases
• Develop and deploy complex analytical models and insights to inform strategic decisions
• Implement data science solutions, including but not limited to predictive models, NLP, and GenAI applications
• Scale proof-of-concept data science ideas and products into maintainable production software services; leverage best practices for production-ready code development and DevOps to build solutions that are stable, efficient, and scalable
• Track and report progress on data science initiatives while accounting for shifting priorities and timelines to ensure alignment with strategic objectives
• Champion FAIR principles and guide the organization in their application to ensure long-term data usability and accessibility
• Stakeholder Engagement and Collaboration
• Act as a key partner to cross-functional teams, providing technical leadership in the design and implementation of digital products.
• Act as a trusted advisor, educating stakeholders on INDIGO value offerings and application of team capabilities to their unique business needs
• Communicate insights and recommendations to senior leadership
• Functional Ownership of Digital Products
• Lead the maintenance, enhancement, and governance of digital products under the team’s ownership
• Take functional ownership of data science tools and products, ensuring their reliability, scalability, and continued business relevance.
• Mentor junior team members and foster a culture of continuous learning and collaboration.

Qualifications

• Basic Qualifications:
• Education: Master’s degree in Data Science, Computer Science, Statistics, or a related field. Ph.D preferred.
• 5-7 years of experience in data science, with a proven track record of delivering impactful solutions
• Technical Skills
• Proficiency in production programming in languages such as Python and SQL. Comfort with pandas, Numpy, scikit-learn, and PyTorch libraries is required. Experience with graph databases (e.g. Neo4J) is a plus
• Hands-on experience with data visualization tools – Tableau and ReactJS/D3 preferred.
• Familiarity with cloud computing and ML platforms – AWS platform required, Dataiku and Snowflake experience preferred. Big Data Technologies (e.g. Spark) preferred
• Strong knowledge of ML algorithms, statistical analysis techniques, and end-to-end MLOps management.
• Experience with last-mile data engineering and data governance best practices (DBT preferred), including FAIR principles
• Core Competencies
• Proven ability to design and implement high-quality end-to-end data science solutions, from conceptualization and discovery through to tangible value delivery to the business
• Strong problem solving and analytical skills, with an aptitude for technical and stakeholder management innovation
• Strong leadership and project management skills, with experience mentoring junior data scientists
• Excellent communication and interpersonal skills to collaborate effectively across cross-functional teams and get buy-in from stakeholders with a wide spectrum of technical proficiency
• Strong organizational skills, with experience managing multiple projects and competing priorities and ambiguities in a fast-paced environment
• Preferred Qualifications
• Experience in pharmaceutical / biotechnology industry
• Familiarity with regulatory and compliance standards for data use in healthcare or life sciences (e.g. HIPAA).
• Exposure to latest GenAI innovation and graph analytics
• Ability to work a hybrid weekly office schedule in our Waltham location