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.

JD Summary – Data Steward & Data Engineer (Pharma Manufacturing Analytics)   This role combines Data Stewardship and Data Engineering to ensure manufacturing data is accurate, well-governed, traceable, and analytics-ready. The person will work at the intersection of manufacturing operations, quality systems, and analytics teams , managing data from systems such as MES, OSI PI/AVEVA, SAP ERP, QMS, Excel/PDF, and batch records. The primary responsibility is to build and maintain reliable data pipelines in the Azure Databricks Lakehouse , while ensuring data quality, governance, lineage, and compliance with GxP regulations. The role acts as a bridge between data producers (manufacturing, labs, quality) and data consumers (analytics, data science, reporting) by translating technical data issues into actionable insights and maintaining structured data documentation. Key focus areas include:   Data governance and stewardship (data dictionaries, lineage, metadata, traceability) Data engineering and pipeline development in Azure Databricks using PySpark, Spark SQL, and Delta Lake Data quality monitoring and root cause analysis Automation and optimization of data pipelines   Minimum Requirements for the Role Experience: 8 Technical Skills Experience in: Python SQL Azure Databricks Experience building ETL/ELT data pipelines and data quality frameworks Knowledge of data modeling, metadata management, and data lineage Familiarity with CI/CD pipelines for data engineering workflows Domain Knowledge Understanding of pharma manufacturing systems such as: MES OSI PI / AVEVA SAP ERP QMS / LIMS Batch records / process monitoring systems Knowledge of GxP, data integrity (ALCOA+), and regulatory compliance requirements Soft Skills Ability to translate technical data issues into business insights Strong communication and stakeholder collaboration skills Detail-oriented mindset with a focus on data accuracy and governance Ability to work across IT, manufacturing, quality, and analytics teams

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 does not discriminate on the basis of age, race, color, religion, gender, sexual orientation, gender identity, gender expression, national origin, protected veteran status, disability or any other legally protected status.

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