Position Summary
As an Associate Director within the INDIGO | AI Innovation Lab, you will lead the development and scaling of data science capabilities across the enterprise 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 foundation in AI‑driven operations analytics across the pharmaceutical value chain - including supply chain, manufacturing, quality, EH&S, and business process excellence; inquisitive data science skills; clear and compelling communication skills; an exceptional sense of ownership and accountability; and experience in the pharmaceutical or health‑related industry.
This role is based in our Waltham location and would work a hybrid weekly office schedule.
Key Responsibilities
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 agentic AI applications and predictive ML models
- Develop pilot operations planning and optimization use cases using established operations research methodologies, with a focus on validation, impact, and scalable deployment
- 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
Stakeholder Engagement and Collaboration
- Act as a key partner to cross-functional teams, providing technical and strategic guidance in the design, development, and implementation of digital products, optimization tools, and AI-driven solutions
- Serve as a trusted advisor to stakeholders helping them understand INDIGO’s capabilities and guiding them in translating complex business challenges into high‑impact data science use cases
- Facilitate structured discovery and problem-framing sessions to identify root causes, uncover operational inefficiencies, and prioritize opportunities where AI/ML, optimization, or automation can drive measurable value
- Collaborate closely with domain experts to ensure models and solutions reflect real-world constraints and operational realities
- Influence decision-making through clear, actionable communication, synthesizing complex analytical results into insights that resonate with both technical and non‑technical audiences
- Champion change management and adoption, ensuring stakeholders understand, trust, and effectively integrate new AI/ML tools into their workflows
- Build long-term partnerships with business owners, fostering ongoing collaboration, feedback loops, and continuous improvement for products and models in production
Lead the Development of Data Science Capabilities
- Design and build production‑grade digital tools, reusable frameworks, and scalable AI/ML platforms that drive operational performance and enterprise efficiency while establishing consistent, reusable foundations for all current and future AI applications
- 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
- 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
Functional Ownership of Digital Products
- Bring end-to-end product lifecycle management mindset to INDIGO initiatives, with a clear focus on optimizing long-term value of developed products and capabilities
- Take ownership of INDIGO products within the operations domain, ensuring products’ reliability, scalability, and continued business relevance. Play a key role in shaping portfolio strategy by contributing expert judgment and nuanced thinking on the direction, growth, and integration of the products they own
- Mentor and develop the talent supporting their product portfolio, fostering a collaborative and continuously learning team environment
