We’re a large bank that’s reinventing banking by focusing on the unmet needs of millennial and underbanked consumers to provide frictionless and free banking with the full suite of financial products. We’re building a disruptive multi-partner distribution model, known as “Bank as a Service”, that places our innovative bank products in natural account opening moments as part of multiple startup banking brands. Our banking experience is built with a customer-centric digital-first model and requires industrial-strength financial technologies and innovation, and the treatment of customer data is a key to our strategic success.
Design, build, operate, and monitor our “Bank as a Service” data capability, including operational reporting, monthly business reviews, end to end data architecture design, cloud data technology ownership, and emerging data science capabilities. Aid in yielding effective business outcomes and learnings by providing stakeholders access to a cohesive, well-organized, repeatable, and comprehensive reports that can be leveraged via multiple methods from summary reports, to interactive drill-downs, to data extracts from one common solution. Provide multiple stakeholders, including BaaS partners, with access to substantially similar information while accounting for information security access differences. Ensure the data pipeline infrastructure meets non-functional requirements such as scalability, performance, and reliability through effective architecture design and directing performance engineering efforts.