Lead Data Modeler, Banking & Credit Data Strategy

Compunnel, Inc.; Phoenix (AZ); On-site; USD 120,000 - 150,000; Full time

Job summary

Compunnel, Inc. seeks a Lead Data Modeler with banking-domain expertise to drive enterprise data modeling initiatives. This role collaborates with Lending and Credit teams and the Enterprise Data Modeling group to deliver robust models and governance.

The position focuses on data modeling, stakeholder alignment, and delivery management rather than development. Proficiency with Power BI and Databricks is required to support validation and analytics.

Qualifications

• Experience as a Data Modeler with delivery responsibilities.
• Strong banking domain knowledge and credit modeling expertise.
• Proven ability to collaborate with Lending and Credit teams.
• Experience with enterprise data modeling standards and governance.
• Proficiency using Power BI and Databricks for validation.

Responsibilities

• Serve as liaison between data program, Lending/Credit divisions, and Enterprise Data Modeling.
• Lead data modeling initiatives across banking and credit domains.
• Define and align data modeling requirements with business and technical stakeholders.
• Develop, review, and maintain conceptual, logical, and physical data models.
• Ensure models align with enterprise standards and governance.
• Support planning, coordination, and execution of modeling projects.
• Collaborate with cross-functional teams to ensure high-quality deliverables.
• Guide data modeling best practices and enterprise standards.

Skills

Banking domain experience

Credit modeling

Delivery management

Stakeholder management

Data modeling

Communication skills

Tools

Power BI

Databricks

Job description

Compunnel, Inc. seeks a Lead Data Modeler with banking-domain expertise to drive enterprise data modeling initiatives. This role collaborates with Lending and Credit teams and the Enterprise Data Modeling group to deliver robust models and governance.

The position focuses on data modeling, stakeholder alignment, and delivery management rather than development. Proficiency with Power BI and Databricks is required to support validation and analytics.