Sr Principal Data, Analytics & AI Engineer

100 Eli Lilly and Company; Indianapolis (IN); On-site; USD 129,000 - 211,000; Full time

Benefits offered by this job

Customizable data engineering tooling

Job summary

Lilly is seeking a senior technical leader to own the design and architecture of agentic AI and data modernization for Global Supply Chain. You will craft standards for cloud data models, pipelines, and agent orchestration while mentoring engineers and guiding stakeholder roadmaps.

Responsibilities include working across SAP, SHARP, and modern data lakehouse architectures, deploying AI agents, and ensuring data integrity and compliance across systems. Indianapolis location, onsite full‑time.

Qualifications

• Experience delivering Gen‑AI/agentic applications in production environments.
• Hands‑on analytics and data engineering within supply chain contexts.
• Strong knowledge of ERP data and integration using SAP S/4HANA and related systems.
• Proficiency with LLM APIs and toolchains for agent orchestration.
• Experience leading globally distributed teams or vendor partners.

Responsibilities

• Own the technical design and architecture for agentic AI across Global Supply Chain.
• Set standards for cloud data modeling, pipelines, and agent orchestration.
• Mentor engineers; lead code and design reviews; drive roadmaps with stakeholders.
• Collaborate with vendors and IT leadership on build/buy decisions.

Skills

GenAI/agentic app delivery

Python

SQL

Machine learning

Data analytics

Prompt engineering

LLM APIs

Education

Bachelor’s degree in Computer Science or related field

Advanced degree preferred

Tools

SAP S/4HANA

ECC

BW/4HANA

SHARP

LangChain

LangGraph

OpenAI

Azure OpenAI

Bedrock

Databricks

Power BI

Job description

Job Responsibilities

Technical leadership and architecture

Own the technical design and architecture for agentic AI and data modernization solutions across the Global Supply Chain and MQ landscape, from problem framing through production support. Set standards and reusable patterns for cloud based data modeling, pipeline design, agent orchestration, and evaluation that other engineers build on. Mentor and provide technical guidance to junior and mid‑level engineers; lead code and design reviews. Partner with senior business stakeholders and IT leadership to shape roadmaps, sequence delivery, and make build/buy trade‑offs; direct and hold accountable external vendor and partner teams.

Supply chain data domain and analytics

Develop and apply deep working knowledge of Global Supply Chain data domains — material master, BOM and recipe, procurement, inventory and stock movements, production orders and batch execution, planning and scheduling, warehouse management, transportation management, distribution and logistics, quality and deviations. Work fluently across SAP (S/4HANA, ECC, BW/4HANA — master data, MM, PP, QM, SD, and IBP) and SHARP, translating source‑system semantics into trusted, business‑ready data models. Bring an informed point of view on end‑to‑end supply chain processes — SOP, MRP, plan‑to‑produce, source‑to‑pay, order‑to‑cash, capacity and inventory management — and the analytics that support them, including service level, inventory turns, cycle time, schedule adherence, and supply risk. Correlate supply chain and manufacturing data — linking ERP, planning, MES, historian, and quality data across systems and time — to produce integrated business solutions that answer questions no single system can, using data modernization and agentic AI.

Agentic AI and machine learning

Closely collaborate with the business & other global teams on agentic solution design, requirement gathering, solution development and delivery to drive meaningful business value. Design, build, and deploy AI agents and multi‑agent workflows that automate analysis and decision support across manufacturing and supply chain use cases — including prompt engineering, tool and function calling, agent orchestration, and retrieval‑augmented generation (RAG) over technical documents and operational data. Define how agent performance is measured and improved: test scenarios, evaluation criteria, accuracy and hallucination monitoring, user feedback loops, agent observability, and guardrails that keep agent behavior safe, grounded, and within scope. Implement, test, and deploy machine learning and predictive models into production, ensuring performance, scalability, and interpretability.

Data engineering and delivery

Design, build, and maintain scalable, reliable data pipelines using modern ETL/ELT tooling to ingest, process, and transform large datasets from diverse operational and enterprise sources in support of advanced analytics, reporting, and agentic AI. Lead data modernization efforts — migrating and re‑platforming legacy supply chain reporting and data assets onto modern lakehouse and cloud architectures. Monitor and troubleshoot data quality and agent behavior issues, ensuring data integrity and reliability across all platforms. Develop and maintain documentation for data architecture, data flows, agent designs, prompts, model choices, and deployments to support maintainability, validation, and GxP/CSV requirements. Ensure compliance with all relevant data privacy, security, and responsible AI requirements. Stay abreast of the fast‑moving agentic AI and data engineering landscape and bring practical, proven advances into the team’s work.

Basic Qualifications

• Bachelor’s in Computer Science, Engineering, Data Science, Statistics, Supply Chain, or related field with 8+ years in data engineering, analytics, or AI/ML, with hands‑on production Gen‑AI/agentic app delivery.
• Experience in supply chain/manufacturing data, hands‑on SAP (S/4HANA/ECC, BW/4HANA) , SHARP, MES and related data and analytics experience.
• Hands‑on advanced statistical, machine learning, LLM/agentic app development: prompt engineering, tool/function calling, RAG, vector search/embeddings, multi‑step workflows.
• Deep knowledge of agent frameworks (LangChain, LangGraph, or equivalent) and production LLM APIs (OpenAI, Azure OpenAI, Anthropic, Bedrock); Azure/AWS/Databricks.
• Advanced Python (preferred); SQL,Java/Scala/R a plus, PowerBi/Tablue, Web Apps etc.
• Experience in end‑to‑end developing production grade analytics systems.

Preferred Qualifications

• Masters in Computer Science, Engineering, Data Science, Statistics, Supply Chain, or related field with 5+ years in data engineering, analytics, or AI/ML, with hands‑on production Gen‑AI/agentic app delivery.
• Experience in pharmaceutical, life sciences, or other regulated manufacturing supply chains.
• Track record of taking multiple AI or agentic solutions through to production, including evaluation, monitoring, and iteration after go‑live.
• Strong command of manufacturing processes and metrics (OEE, downtime, yield, batch performance, right‑first‑time) alongside supply chain metrics.
• Experience with supply chain planning software (SAP IBP, Kinaxis, o9) and IoT/streaming operational data.
• Exposure to manufacturing data sources such as historians (OSI PI), MES/TrakSYS, PMX, or LIMS.
• Experience working in a GxP‑regulated environment, including CSV and validation practices.
• Experience with data visualization tools (Power BI preferred).
• Applied knowledge of responsible AI practices: model risk, bias, explainability, and data privacy.
• Experience leading globally distributed teams or vendor partners.
• Databricks, AWS or Azure certifications.

Additional Information

Position is located in Indianapolis, Indiana

Full time position 5 days per week onsite

Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions.

If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form (https://careers.lilly.com/us/en/workplace-accommodation) for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response.

Lilly is proud to be an EEO Employer and does not discriminate on the basis of age, race, color, religion, gender identity, sex, gender expression, sexual orientation, genetic information, ancestry, national origin, protected veteran status, disability, or any other legally protected status.

Our employee resource groups (ERGs) offer strong support networks for their members and are open to all employees. Our current groups include: Africa, Middle East, Central Asia (AMECA), Black Employees at Lilly (BE@Lilly), Chinese Culture Network (CCN), EnAble, Evolve, Lilly Indian Network (LIN), Organization of Latinx at Lilly (OLA), Pride (LGBTQ+ Allies), Veterans Leadership Network (VLN) and Women’s Initiative for Leading at Lilly (WILL).

Actual compensation will depend on a candidate’s education, experience, skills, and geographic location.

The anticipated wage for this position is $129,000 - $211,200 Full-time equivalent employees also will be eligible for a company bonus (depending, in part, on company and individual performance).

In addition, Lilly offers a comprehensive benefit program to eligible employees, including eligibility to participate in a company‑sponsored 401(k); pension; vacation benefits; eligibility for medical, dental, vision and prescription drug benefits; flexible benefits (e.g., healthcare and/or dependent day care flexible spending accounts); life insurance and death benefits; certain time off and leave of absence benefits; and well‑being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities).

Lilly reserves the right to amend, modify, or terminate its compensation and benefit programs in its sole discretion and Lilly’s compensation practices and guidelines will apply regarding the details of any promotion or transfer of Lilly employees.

At Lilly we strive to ensure our employees are part of a team that cares about them and our shared purpose of making life better for those around the world. How do we do this? We continue to look for ways to include, innovate, accelerate and deliver while maintaining integrity, excellence and respect for people. We hope that you seek to join us on our journey as we create medicine and deliver improved outcomes for patients across the globe!