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The BancorpPosted 3 months ago

VP Lead Data Engineer (Hybrid)

HybridSioux Falls, South Dakota, United States

Full TimeSenior LevelMedium

Job Summary

Manage teams reviewing, mapping, and analyzing third-party data to integrate customer and transaction data into core reports across all business lines. Establish raw data requirements, interpret compliance regulations, and translate regulatory, fraud, and AML rules into enterprise data model specifications and scalable monitoring infrastructure. Lead cross-functional implementation efforts across IT, Fraud, FCRM, Compliance, and Operations to ensure successful data onboarding, system integrations, and end-to-end data integrity. Design and expand the Snowflake data model, own data architecture strategy for processor implementations and platform migrations, and establish enterprise data governance documentation and implementation standards. Define common analytics frameworks, deploy predictive analytic solutions from prototypes to production, and create alerts and reports for Compliance and Fraud/AML Monitoring teams. Ensure enterprise-level data integrity supporting audit, regulatory examinations, and cross-processor reconciliations. Occasional travel (5%). Hybrid work onsite in Sioux Falls, SD after initial training.

Required Qualifications

  • Undergraduate degree in a related field or an equivalent combination of training and experience
  • 10 or more years of experience in enterprise data integration, processor implementations, financial services data architecture, or related fields
  • Occasional travel (5% percent)

Desired Qualifications

  • Master's degree
  • Strong working knowledge of credit or debit card issuing
  • Excellent verbal, written, and interpersonal communication skills
  • Team player, able to work effectively in a team fostered, multi-tasking environment
  • Proficient in Microsoft Office suite, e.g., Excel, PowerPoint, Word, Outlook, SAS, SQL, BOBJ
  • Experience leading enterprise data warehouse initiatives (e.g., Snowflake or comparable platforms)
  • Experience supporting AML/fraud monitoring systems such as Actimize or similar platforms
  • Experience leading cross-functional processor implementations or large-scale platform migrations in a regulated financial environment

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