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Lending Services Data & AI Solutions Architect

Woodforest National Bank
Posted 7 months ago, valid for 21 days
Location

Spring, 77380, US

Salary

Competitive

Contract type

Full Time

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Sonic Summary

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  • Woodforest National Bank is seeking a Lending Services Data & AI Solutions Architect with a minimum of 5 years of experience in data architecture, BI development, and AI engineering, preferably within financial services.
  • The role involves designing secure data infrastructure, developing ETL/ELT pipelines, and ensuring data governance in compliance with standards.
  • Candidates should have proficiency in SQL, DAX, Python, Power Query, and Azure cloud services, along with experience in Power BI administration.
  • This is a full-time hybrid position with up to 10% travel expected, and it offers the opportunity to be part of one of the largest employee-owned banks in the country.
  • Salary details are not specified, but the position emphasizes the importance of relationship building and community service.
Take the next step toward your new career today!

Become a part of the diverse and inclusive team within our nationally recognized award-winning Bank that is one of the strongest in the nation. Woodforest National Bank is privately owned, and our Employee Stock Ownership Plan is the largest shareholder. We focus on building relationships and discovering opportunities to better serve our communities and understand the financial needs of every customer we serve. At Woodforest we care and prove it by volunteering with local charities and foodbanks to give back to the communities we serve. By joining Woodforest you will become a part of one of the largest employee-owned banks in the country!

The Lending Services Data & AI Solutions Architect plays a pivotal role in transforming lending operations through data-driven insights, intelligent automation, and scalable architecture. This hybrid role combines expertise in data engineering, business intelligence, and artificial intelligence to support strategic decision-making, regulatory compliance, and operational efficiency across the lending lifecycle.

Key Responsibilities:


路聽聽Design and maintain secure, scalable data infrastructure to support lending workflows, including loan origination, underwriting, servicing, and portfolio management
路聽聽Develop ETL/ELT pipelines to integrate data from core banking systems and third-party platforms
路聽聽Ensure data accuracy, lineage, and governance in alignment with SOC 1 Type II and other compliance standards
路聽聽Collaborate with Lending Services, Commercial, and Credit leadership to define data models that support credit risk analysis, performance tracking, and regulatory reporting


路聽聽Build and manage Power BI dashboards that provide real-time visibility into loan performance, pipeline activity, and operational KPIs

Competencies Required:
路聽聽Ability to work with credit executives, lending team members, analysts, and IT teams to align technical solutions with business goals
路聽聽Competence in managing timelines, resources, and deliverables across data and AI initiatives
路聽聽Clear articulation of technical concepts to non-technical stakeholders and leadership
路聽聽Familiarity with core lending platforms and data structures used in commercial banking
路聽聽Understanding of credit performance metrics and regulatory reporting requirements



Minimum Qualifications/Experience:
路聽聽5+ years of experience in data architecture, BI development, and AI engineering. Within financial services preferred.
路聽聽Proficiency in SQL, DAX, Python, Power Query, and Azure cloud services
路聽聽Experience with Power BI administration, including Premium Capacity Metrics and embedded analytics
路聽聽Familiarity with various lending platforms and core banking systems


Formal Education & Certification:
路聽聽Bachelor鈥檚 or Master鈥檚 degree in Computer Science, Data Science, Finance, or related field.


Work Status:
路聽聽Full-Time.


Supervisory Responsibility:
路聽聽None.


Travel:
路聽聽Up to 10%25 travel expected.


Working Conditions:
路聽聽Conditions involve lifting no more than ten pounds, sitting most of the time, but may involve walking, moving, or standing for brief periods, and occasionally lifting and carrying articles like files, ledgers, folders, etc.



Disclaimer:
This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee. Nothing herein restricts management鈥檚 right to assign or reassign duties and responsibilities to this job at any time.

Woodforest is an Equal Opportunity Employer, including Disability and Veterans.



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