VP Lead Data Engineer (Hybrid)
Core
Leads enterprise data architecture and implementation efforts to integrate customer, client, and transaction data into core reports and scalable monitoring infrastructure for a financial services bank.
Role type
VP Lead Data Engineer (Enterprise Data & Architecture)
Builds
Enterprise data models, scalable monitoring infrastructure, and unified back-end platforms for fraud/AML/compliance reporting.
Domain
Financial Services / Regulatory Compliance (Fraud, AML, CIP/KYC)
Deliverable
production ML models | dashboards & analysis | infrastructure
Required skills
Enterprise data integration, processor implementations, financial services data architecture, data governance, system migrations, regulatory interpretation (AML/Fraud/Risk), team leadership, data modeling, ETL process optimization, predictive analytics design, audit readiness.
Preferred skills
Credit/debit card issuing knowledge, Actimize platform experience, Master's degree.
Technologies
Snowflake, SQL, SAS, BOBJ, Actimize
Responsibilities
Design and expand Snowflake data models; lead cross-functional processor implementations and large-scale platform migrations; translate regulatory requirements into data model specifications; manage teams reviewing and mapping third-party data; establish enterprise data standards to reduce duplication; develop business requirements and justify project proposals; ensure data integrity for audit and regulatory examinations; create alerts and reports for Compliance and Fraud/AML teams.
Seniority
VP, strategic leadership with hands-on technical oversight