VP Lead Data Engineer

The Bancorp

Lead Data Engineer managing enterprise data architecture and integration efforts at The Bancorp Bank. Overseeing data quality, compliance, and system integrations with multiple departments.

Posted 5/23/2026full-timeSioux Falls • South Dakota • 🇺🇸 United StatesSeniorWebsite

Tech Stack

Tools & technologies

ETLSQL

About the role

Key responsibilities & impact

Leads enterprise data and implementation efforts to integrate customer, client, and transaction data into core reports across all business lines
Maps and translates raw data into structured formats that enhance reporting and user tool functionality
Drives enterprise data architecture, including the design and expansion of the Snowflake data model, to support scalable and standardized processor integrations
Establishes technology-driven oversight processes and leads processor launches, migrations, and system integrations to ensure end-to-end data integrity, compliance, and audit readiness
Manages teams responsible for reviewing, mapping, and analyzing data provided to the Bank from third parties
Leads cross-functional implementation efforts across IT, Fraud, FCRM, Compliance, Audit, Operations, and processor partners to ensure successful data onboarding and system integration
Establishes raw data requirements necessary to operate the bank’s programs compliantly and efficiently
Interprets compliance regulations for systems and processes to ensure that fraud, risk, operational and compliance controls are in place, reports can be generated, and systems are in accordance with federal, state, and local rules and regulations for the products and industry
Translates regulatory, fraud, AML, and operational requirements into enterprise data model specifications and scalable monitoring infrastructure
Provides guidance to map and document data, i.e., new, and existing transaction codes, so system generated data can be categorized for use in research and reporting
Reviews, audits, and revises the functional specifications documents related to field mapping
Ensures that data is accurately mapped to processor fields, identify and correct errors as needed
Disseminate the information to the appropriate teams
Writes and tests procedures for new systems, systems elevations, and system changes
Drafts rules, queries, and related process changes driven by new or existing automation and applications
Communicates new procedures to affected internal parties
Owns enterprise data governance documentation and implementation standards for new processors, platforms, and system changes
Leads data and datasets used during system builds, enhancements, modifications, and mapping
Develops business requirements and works closely with stakeholders to justify project proposals
Owns data architecture strategy for new processor implementations and major platform migrations, including reconciliation validation, dual-processor transitions, and cutoff population documentation for audit defensibility
Tests system and process changes to ensure accurate and efficient data entry, maintenance, and reporting
Ensures workflow quality through structured testing and feedback
Implements process improvements and enhancements for service delivery
Reviews, audits, and revises functional specification documents related to the field mapping within the Actimize or other system(s)
Ensures data is mapped to the processor fields, identify and correct errors
Leads integration of enterprise data model requirements into Actimize modernization initiatives (e.g., Actimize 2.0), ensuring monitoring scalability and reduction of processor-specific rework
Creates business unit documentation, including a program parameterization tool mapping processor program IDs to parameters used to identify spend violations and forecast program activity
Maintains authoritative program parameter and processor mapping frameworks supporting fraud detection, AML monitoring, compliance reporting, and operational forecasting
Analyzes and integrates multi-technology data systems through a unified back-end platform and web-enabled front-end while owning data quality across data flows
Designs and expands enterprise-scale data infrastructure (Snowflake and associated systems), enabling standardized ingestion patterns and accelerating future processor onboarding
Defines common analytics frameworks and tools leveraged across the organization to drive innovation and experimentation
Establishes enterprise data standards to reduce duplication, eliminate fragmented ETL processes, and improve reporting consistency across business lines
Transforms data insights into actionable reports, targeting algorithms, and model features and conceptualize coding, deploying, and iterating on predictive analytic solution designs from prototypes to production systems
Identifies practical approach to test and learns key hypotheses to extend analytic insight
Establishes criteria for and executes on the creation of alerts and reports for business units with emphasis on Compliance and Fraud/ AML Monitoring teams
Ensures enterprise-level data integrity supporting audit, regulatory examinations, CIP/KYC integrations, and cross-processor reconciliations
Performs other duties as assigned.

Requirements

What you’ll need

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
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.

Benefits

Comp & perks

Health insurance
401(k) matching
Flexible work hours
Paid time off
Remote work options

ATS Keywords

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Hard Skills & Tools

data integrationdata architecturedata mappingdata governancedata qualitypredictive analyticsETL processescompliance reportingfraud monitoringAML monitoring

Soft Skills

communication skillsteam playermulti-taskingleadershipinterpersonal skillsorganizational skillsproblem-solvinganalytical thinkingcollaborationproject management