Lead Data Modeler

Hybrid in Dallas, TX, US • Posted 11 hours ago • Updated 11 hours ago
Contract W2
Contract Corp To Corp
Contract Independent
10 Months
No Travel Required
Able to Sponsor
Hybrid
Depends on Experience
Fitment

Dice Job Match Score™

⭐ Evaluating experience...

Job Details

Skills

  • Banking
  • Analytics
  • Data Modeling

Summary

Lead Data Modeler (Credit Modeling)
Location: Dallas, TX (Hybrid – 3–4 days onsite per week)
Duration: Contract

Key Responsibilities

  • Lead data modeling initiatives for banking and credit-related domains.
  • Act as the primary liaison between the Data Program, Lending & Credit Division, and Enterprise Data Modeling team.
  • Collaborate with business and technical stakeholders to define data requirements and ensure alignment with enterprise standards.
  • Design and maintain logical and conceptual data models supporting credit and lending initiatives.
  • Ensure data quality, consistency, governance, and compliance across data models.
  • Coordinate project deliverables, timelines, and cross-functional communication.
  • Support reporting and analytics teams with well-structured data models.

Required Skills & Experience

  • 10+ years of experience in Data Modeling and Data Management.
  • Strong banking domain experience, with mandatory Credit/Lending data modeling experience.
  • Experience leading data modeling initiatives and coordinating cross-functional delivery.
  • Strong understanding of enterprise data modeling methodologies and best practices.
  • Hands-on experience with:
    • Power BI
    • Databricks
    • Enterprise Data Modeling tools (ERwin, ER/Studio, or similar)
  • Excellent stakeholder management and communication skills.

 

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10398358
  • Position Id: 9046436
  • Posted 11 hours ago
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