The work will draw on a common set of capabilities: designing and building pipelines that ingest, transform, and validate large and often messy datasets; modeling data so it can be used for analytics and machine learning; writing production-quality Python and SQL; applying engineering practices such as version control, testing, code review, and documentation; and partnering with data scientists, machine learning engineers, and clinical collaborators to understand what the data needs to support. 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).