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LeadData modeler

Compunnel Inc.Phoenix, AZ🇺🇸United StatesPosted 31 Aug 2026

Why This Role Stands Out

Leverage your expertise in credit modeling and banking to drive impactful enterprise data initiatives in this hybrid Lead Data Modeler role, offering excellent collaboration opportunities and career growth. You'll thrive here if you excel at stakeholder management and translating business needs into robust data models, making this an exciting opportunity to contribute to a leading company.

Quick Overview

Seniority
Mid Senior
Work mode
Hybrid
Location
Phoenix, AZ, United States
Posted
1 week ago
DatabricksPower BIStakeholder Management

Job Description

Key Responsibilities
Serve as the primary liaison between the data program, Lending and Credit division, and the Enterprise Data Modeling team. Lead and coordinate data modeling initiatives supporting banking and credit-related business functions. Collaborate with business and technical stakeholders to define and align data modeling requirements. Develop, review, and maintain conceptual, logical, and physical data models. Ensure data models align with enterprise data standards, governance, and business objectives.

Support delivery planning, coordination, and execution of data modeling initiatives. Collaborate with cross-functional teams to ensure high-quality data modeling deliverables. Utilize Power BI and Databricks to support data analysis and model validation activities. Provide guidance on data modeling best practices and enterprise standards. Facilitate communication between business, data, and enterprise architecture teams.

Required Qualifications
8+ years of experience
Bachelors Degree

Skills
Data Modeling
Banking Domain Experience
Credit Modeling
Power BI
Databricks
Enterprise Data Modeling Tools
Delivery Management
Stakeholder Management
Cross-functional Collaboration
Business Stakeholder Engagement
Enterprise Data Standards Adherence
Data Modeling Best Practices
Enterprise Data Program Support
Enterprise Data Governance
Enterprise Data Architecture

Schedule
Start date: 2026-08-13

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