Associate Director – Data, Analytics & AI; Manufacturing

Overview

Associate Director – Data, Analytics & AI (Manufacturing)

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At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first.

We’re looking for people who are determined to make life better for people around the world.

Lilly’s Purpose

At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our 35,000 employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism.

We give our best effort to our work, and we put people first. We’re looking for people who are determined to make life better for people around the world.

Come leverage the power of data to deliver solutions that improve the lives of people around the world!

The Global Data Analytics & AI Organization (DIA) is actively looking for candidates for Associate Director of Data, Analytics & AI position to drive the digital transformation agenda for our Manufacturing operations within the pharmaceutical domain. This role is central to enabling data-driven decision-making, scaling AI solutions, and shaping our data product strategy across sites. You will lead a cross-functional team of data engineers, data scientists, and analytics professionals to build and operationalize advanced data and AI solutions, ensuring they align with both business value and GxP/data governance standards.

This is a strategic role, instrumental to supporting our manufacturing network expansion, improving operational excellence, and enabling AI-at-scale across production environments.

You will help advance the DIA Organization’s Purpose of delivering innovative data analytics and AI solution to accelerate Lilly’s ability to make medicines for today and tomorrow while being compliant. You will drive business value, operate with speed and agility, embody a product mindset, and reward innovation and experimentation.

• Lead the Development of Data & AI Products: oversee the development and deployment of advanced data analytics and AI products that elevate manufacturing efficiency, compliance, and quality.
• Drive Strategy with Vision: shape and execute the vision, roadmap, and long-term strategy for manufacturing data products, analytics, and AI/ML solutions that align with business priorities and operational goals.
• Define and Deliver High-Value Data Products: own the full lifecycle of manufacturing data products—from ideation to delivery—ensuring they are scalable, governed, and deliver measurable business value across use cases such as batch visibility, site inspections, and equipment performance.
• Industrialize AI with MLOps: product ionize AI models using MLOps best practices for sustainable, scalable deployment across manufacturing use cases.
• Deliver Scalable Data Solutions with Data Ops: implement high-quality, governed data pipelines and leverage Data Ops to ensure reliable data delivery for analytics and AI applications.
• Data Governance Leadership: champion data governance across manufacturing data domains—defining ownership, stewardship, data quality standards, and metadata management for trusted, compliant data.
• Team & Capability Building: manage and mentor a multi-disciplinary team fostering innovation, agility, accountability, and continuous improvement.
• Governance & Compliance: ensure AI and analytics solutions meet GxP standards, maintain data integrity and privacy, and adhere to responsible AI practices.
• Collaborate for Impact Across the Network: align and integrate data and AI…