Director, Data Engineering

About the role

Data Engineering sits at the heart of Chime: nearly every product, analytics and AI initiative runs through the data our teams build. As a Director of Engineering, you'll lead Data Foundations and Insights, managing engineering managers and staff engineers who build the foundations the rest of Chime depends on. You'll partner closely with product, analytics, ML and business leaders to make sure our data reflects the true end state of the business for analysts and AI tools alike. And you'll play a core role in Chime's AI transformation, making sure the foundations are built right from day one.

In this role, you can expect to

• Lead and grow an organization of engineering managers and staff engineers, setting a high bar for quality, reliability and ownership.

• Build strong partnerships with product, analytics, ML, risk and business leaders, and keep them confident in what your org delivers.

• Set the multi-year technical vision and roadmap for Chime's data foundations, and tie each investment to business and member outcomes.

• Make sure our data reflects the true end state of the business, so analysts and AI tools can trust it and act on it.

• Shape the data architecture that underpins Chime's AI transformation, making the right foundational calls early.

• Balance competing priorities across many partner teams, making clear trade-offs and explaining them well.

• Hire, coach and develop leaders, and build a team culture of trust, candor and inclusion.

To thrive in this role, you have

• Experience leading engineering organizations through managers, including managing managers and staff-level engineers.

• A track record of building trusted partnerships with cross-functional partners and senior stakeholders, and keeping them aligned through competing priorities.

• Deep understanding of modern data architecture: ingestion, transformation, storage, governance, and serving data for analytics and ML/AI use cases.

• Experience setting technical strategy and a multi-year roadmap, and making the case for investment to executives.

• Sound judgment on architecture trade-offs at scale (batch vs. real-time, build vs. buy, cost vs. reliability), with the technical depth to earn credibility with staff engineers.

• Clear, concise written and verbal communication with both technical and non-technical audiences.

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