Woodforest National Bank is looking to transform its lending operations through data-driven insights, intelligent automation, and scalable architecture to support strategic decision-making, regulatory compliance, and operational efficiency across the lending lifecycle.
Requirements
- Proficiency in SQL, DAX, Python, Power Query, and Azure cloud services
- Experience with Power BI administration, including Premium Capacity Metrics and embedded analytics
- Familiarity with various lending platforms and core banking systems
- 5+ years of experience in data architecture, BI development, and AI engineering within financial services
Responsibilities
- Design and maintain secure, scalable data infrastructure to support lending workflows, including loan origination, underwriting, servicing, and portfolio management
- Develop ETL/ELT pipelines to integrate data from core banking systems (e.g., ACBS, AccuSystems) and third-party platforms
- Ensure data accuracy, lineage, and governance in alignment with SOC 1 Type II and other compliance standards
- Collaborate with Lending Services, Commercial, and Credit leadership to define data models that support credit risk analysis, performance tracking, and regulatory reporting
- Build and manage Power BI dashboards that provide real-time visibility into loan performance, pipeline activity, and operational KPIs
Other
- Ability to work with credit executives, lending team members, analysts, and IT teams to align technical solutions with business goals
- Competence in managing timelines, resources, and deliverables across data and AI initiatives
- Clear articulation of technical concepts to non-technical stakeholders and leadership
- Familiarity with core lending platforms and data structures used in commercial banking
- Understanding of credit performance metrics and regulatory reporting requirements
- Up to 10% travel expected.
