VP, Data Platforms
Core
Own the strategy, architecture, and operation of the enterprise data and AI platforms powering analytics, machine learning, and operational decisioning across a digital bank.
Role type
VP, Data Platforms (Strategy & Engineering Leadership)
Builds
Enterprise data foundation, Customer Data Platform (CDP), feature stores, model serving infrastructure, and self-service analytics tooling.
Domain
Financial Services / Data Engineering & AI Infrastructure
Deliverable
production ML models | infrastructure | dashboards & analysis
Required skills
Enterprise data platform strategy, cloud data architecture, data governance & compliance, team leadership (10+ years), modern data stack (Databricks, dbt), MLOps, executive communication, regulated industry experience.
Preferred skills
Consumer financial products knowledge, high-growth to enterprise scaling, enterprise AI enablement.
Technologies
Databricks, dbt, Fivetran, data catalogs, observability tooling, modern data governance platforms.
Responsibilities
Define and execute data platform strategy and roadmap; own the customer data foundation and CDP; lead data platform modernization and cloud transformation; establish enterprise data governance and compliance standards; lead and develop high-performing data engineering and ML platform teams; partner with executive leadership to align data investments with business outcomes.
Seniority
VP, strategic leadership with hands-on architectural oversight