VP, Business Data Delivery

The VP, Business Data Delivery leads the end-to-end data delivery organization (Data Engineering, Analytics Engineering, Data Product Management, and Data Science) to translate business priorities into scalable, trusted data products. Responsibilities include defining strategy and roadmaps for business-facing data products across Marketing, Lending, Credit Risk, Fraud, Operations, Deposits, and Compliance; driving operating models and governance; owning Customer Data Platform initiatives and identity resolution; guiding analytics, AI enablement, and self-service insights; and partnering with executives to build a data-driven culture and deliver measurable business value. Desired skills include building and scaling data products that enable marketing activation, credit decisioning, fraud detection, and operational intelligence, as well as expertise with modern data architectures, lakehouse ecosystems, transformation tooling (dbt), BI platforms (Tableau), and cloud-native data stacks. The role is based in San Francisco with in-person/hybrid collaboration on-site Tuesdays–Thursdays, and requires leadership across Data Engineering, Analytics Engineering, Data Product Management, and Data Science, along with strong executive communication, data literacy, and the ability to balance strategic objectives with timely delivery.