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Senior Director, DDCS Data Sciences & Digital Transformation

Job in Indianapolis, Hamilton County, Indiana, 46262, USA
Listing for: Eli Lilly and
Full Time position
Listed on 2026-03-02
Job specializations:
  • IT/Tech
    AI Engineer, Data Analyst
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below
Location: Indianapolis

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.

Organization and

Position Overview

Delivery, Devices, and Connected Solutions (DDCS) sits within Eli Lilly's Product Research & Development organization. We are a diverse team of scientists and engineers responsible for discovering, designing, and developing patient‑centric drug delivery solutions across a broad range of modalities — from injection devices to novel routes of administration and nanomedicines. DDCS drives the drug delivery innovation agenda across early and late development to meet the needs of an expanding portfolio that spans small molecules, biologics, and nucleic acid therapeutics.

DDCS is organized around a matrix model with strong disciplinary and functional horizontals supporting innovation and commercialization verticals. Our vision is to get our medicines to more patients faster by accelerating reach and scale, guided by three strategic pillars:
Delivery Systems, Robust & Sustainable, and Patient Experience + Outcomes.

Data Sciences & Digital Transformation Horizontal

The Data Sciences & Digital Transformation horizontal within DDCS builds and deploys a comprehensive data, AI, and digital capability to accelerate the organization’s innovation and commercialization missions. This team serves as the enterprise‑grade data backbone—connecting experimental data from measurement sciences, computational predictions from the modeling team, and device/combination product development workflows into actionable intelligence that drives decisions across the DDCS matrix.

Senior

Director of Data Sciences & Digital Transformation

The Senior Director of Data Sciences & Digital Transformation will lead a specialized, multidisciplinary team of data and AI professionals to drive digital transformation and establish a comprehensive data strategy within DDCS’s regulated pharmaceutical and medical device development environment. This leadership role requires a strategic thinker who bridges technical expertise with business acumen to accelerate innovation, streamline workflows, and enhance decision‑making capabilities—serving both the innovation and commercialization verticals of the DDCS matrix.

Key Responsibilities Strategic Leadership & Vision
  • Develop and execute the DDCS digital transformation strategy, data strategy, roadmap, and implementation plans—anchored in the matrix model’s priorities.
  • Champion a data‑driven culture and promote adoption of advanced analytics and AI solutions across DDCS horizontals and verticals.
  • Define and communicate the long‑term vision for data architecture and computational sciences capabilities.
  • Integrate data and AI capabilities across all DDCS functions and ensure alignment with organizational business needs and strategic objectives.
  • Identify opportunities to leverage data assets for competitive advantage; quantify and communicate the business impact of data and AI initiatives.
Team Leadership & Development
  • Lead, mentor, and develop a team spanning Data Management, AI/ML, IT/API Development, and Scientific Modeling disciplines.
  • Foster a collaborative, innovative team environment encouraging continuous learning and professional growth.
  • Establish clear roles, responsibilities, and performance objectives aligned to the horizontal discipline model.
  • Build organizational capability through talent acquisition, training, and succession planning.
Data Architecture & Infrastructure
  • Develop and evolve enterprise data architecture to support current and future DDCS business needs—scalable, secure, governed.
  • Drive implementation of data science solutions to streamline, integrate, and automate technical workflows and business processes.
  • Accelerate…
Position Requirements
10+ Years work experience
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