Technical Delivery Leader — AI, Cloud & Global Programs

100 Eli Lilly and Company; Indianapolis (IN); Hybrid; USD 66,000 - 154,000; Full time

Job summary

Lilly in Indianapolis is seeking a Technical Delivery Manager to own end-to-end delivery of technology initiatives across regulatory submissions, AI/automation, cloud modernization, and data pipelines. You will coordinate across vendors, product managers, and internal teams to ensure timely, high-quality results.

Responsibilities include governance, budgeting, and executive reporting, with a focus on scalable architectures, cloud decisions, and AI‑assisted development.

Qualifications

• Bachelor’s degree required; 1+ years in technical delivery or similar roles.
• Experience leading multi‑workstream technology programs with cross‑functional teams.
• Authorized to work in the United States on a full‑time basis; sponsorship not provided.
• Strong governance, status reporting, and executive communications skills.
• Knowledge of cloud technologies (AWS) and modern software delivery practices.

Responsibilities

• Own end-to-end delivery of technology initiatives supporting regulatory submissions and clinical workflows.
• Coordinate across vendors, consultants, product managers, and internal engineering teams.
• Review architecture decisions, test estimates, and ensure scalable, maintainable solutions.
• Lead governance forums, dashboards, budgeting, and risk/dependency management.
• Champion AI-assisted development practices to accelerate delivery velocity.

Skills

Vendor management

Governance

Budgeting & forecasting

Cross-functional collaboration

Communication

Cloud platforms AWS

AI/ML pipelines

CI/CD & DevOps

Education

Bachelor’s degree

Tools

AWS

CI/CD tooling

Job description

Lilly in Indianapolis is seeking a Technical Delivery Manager to own end-to-end delivery of technology initiatives across regulatory submissions, AI/automation, cloud modernization, and data pipelines. You will coordinate across vendors, product managers, and internal teams to ensure timely, high-quality results.

Responsibilities include governance, budgeting, and executive reporting, with a focus on scalable architectures, cloud decisions, and AI‑assisted development.