Quantitative Research Data Solutions Architect - Executive Director

JPMorgan Chase is seeking an experienced Data Solutions Architect at the Executive Director level to lead a small team of engineers focused on designing and promoting advanced data tooling adoption. This role is part of the Commercial & Investment Bank division, a global leader across banking, markets, securities services and payments.

As a Data Solutions Architect ED, you will be responsible for prototyping technical patterns for implementing Markets Data Standards and providing expert guidance on data usage within Markets. You'll focus on automating data lineage registration and data quality monitoring, while working with various technical teams to integrate strategic data management tools into workflows.

The role requires a strong technical background with 15+ years of experience in Financial Services technology, excellent Python programming skills, and deep expertise in data engineering and big data pipelines. You'll work at the intersection of technology and business, acting as a bridge between the Chief Data Office and Technology teams.

Key responsibilities include leading engineering teams, developing proof-of-concept prototypes, ensuring integration with data and analytics platforms, and driving the adoption of data tooling to support the Markets Data Strategy. You'll be working in a dynamic environment where you can make significant impact on the firm's data management capabilities.

The position offers a competitive compensation package ranging from $200,000 to $350,000, along with comprehensive benefits including healthcare coverage, retirement savings, tuition reimbursement, and mental health support. This is an excellent opportunity for a seasoned data professional to drive innovation in one of the world's leading financial institutions.

JPMorgan Chase is committed to diversity and inclusion, making it an equal opportunity employer that welcomes talent from all backgrounds. The role is based in New York, NY, and offers the chance to work with cutting-edge data technologies while solving complex challenges in the financial services sector.