Vice President, Lead Analytics Engineer
About the role
Bring your expertise to JPMorgan Chase. As part of Risk Management and Compliance (RM&C), you are at the center of keeping JPMorgan Chase strong and resilient. You help the firm grow its business in a responsible way by anticipating new and emerging risks, and using your expert judgement to solve real-world challenges that impact our company, customers and communities. Our culture in Risk Management and Compliance is all about challenging the status quo and striving to be best in class. As a Lead Analytics Engineer within the RM&C Data Analytics & Intelligent Automation team, you'll execute our analytics engineering roadmap to enable cloud-native BI and analytics. Databricks is the primary platform; you'll design the end-to-end Lakehouse stack—from ingestion to governed semantic models and self-service consumption—leveraging Delta Lake, Unity Catalog, Delta Live Tables (DLT), Databricks SQL, and Databricks Genie. Tools such as Alteryx, Prophecy, Snowflake, Tableau, and Sigma may be used within the solutions you establish. Success is measured not only by technical delivery, but by adoption and usability. You'll partner closely with business users, negotiate trade-offs, and translate complex risk data into clear executive narratives.
Responsibilities
- Architect and implement end-to-end pipelines on Databricks using DLT, Delta Lake, and Unity Catalog for governance, lineage, and access controls.
- Build ingestion/integration pipelines in Python/PySpark, consuming JPMC's data products into the Lakehouse; use Alteryx/Prophecy as feeder tools where appropriate.
- Design a governed self-service layer in