Senior Business Intelligence Data Modeler

Overview

On Site
Hybrid
Full Time

Skills

Data Architecture
Artificial Intelligence
Machine Learning (ML)
Innovation
Business Intelligence
Decision-making
Operational Efficiency
Regulatory Compliance
Collaboration
Design Review
Data Governance
Master Data Management
Data Warehouse Architecture
Automotive Manufacturing
Teradata
Snow Flake Schema
IBM
Physical Data Model
Analytics
Reporting
Migration
Communication
Mentorship
Computer Science
Information Systems
Supply Chain Management
Logistics
Purchasing
Customer Service
Databricks
Atlassian
Extract
Transform
Load
ELT
Unstructured Data
IoT
Cloud Computing
Modeling
ERwin
PowerDesigner
SQL
Meta-data Management
Optimization
Algorithms
Predictive Modelling
Management
Employment Authorization
Immigration
FOCUS
SAP BASIS
Recruiting
Screening

Job Details

Job Description

Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to Warren - GM Global Technical Center three times per week, at minimum or other frequency dictated by the business.

Are you passionate about shaping the future of data architecture in automotive systems , plant operations, purchasing and supply chain ? Do you thrive in designing scalable, compliant, and high-performance data models that empower analytics and AI/ML innovation? If so, we invite you to join our team as a Senior Business Intelligence Data Modeler.

You will lead the end-to-end architecture and modeling of enterprise analytics environments, collaborating with cross-functional teams to deliver robust, future-ready data solutions. Your work will directly impact decision-making and operational efficiency across the enterprise.

What You'll Do (Responsibilities) :

  • Architect and model enterprise analytics environments across automotive systems , plant operations, purchasing and supply chain.


  • Design logical and physical data models integrating multiple systems to support med allion architecture .


  • Develop and maintain schemas (star, snowflake), data dictionaries, and metadata for consistency and compliance.


  • Lead modernization efforts including legacy migrations and cloud/ lakehouse adoption using platforms like Databricks.


  • Establish and enforce best practices, standards, and architectural blueprints across hybrid environments


  • Collaborate with engineering, IT, purchasing and supply chain business partners to align architecture with business goals


  • Mentor team members and additional modelers ; conduct design reviews and promote technical excellence


  • Champion data governance, security, and master data management in sensitive and regulated domains


This job may be eligible for relocation benefits

Your Skills & Abilities (Required Qualifications) :

  • Bachelor's Degree


  • 5 years of experience in data warehouse architecture and modeling, with strong exposure to automotive/manufacturing domains


  • Hands-on experience with at least two of the following: Teradata, Databricks, Snowflake, or IBM;


  • Expertise in conceptual, logical, and physical modeling; fact/dimension design for analytics and reporting


  • Demonstrated success in leading architecture and modernization/migration projects.


  • Strong communication skills for translating technical concepts to business stakeholders and mentoring team members.


What Can Give You a Competitive Advantage (Preferred Qualifications) :

  • Master's degree in Computer Science , Engineering, Information Systems, or equivalent


  • Supply Chain/ Logistics/ Purchasing / Customer Care & Aftersales experience


  • Experience in Databricks, Erwin Data Modeler, Atlassian products , Atlan governance tools


  • Experience designing med allion architecture


  • Proven experience with ETL/ELT, cloud data platforms, and integration of structured and unstructured data sources (e.g., IoT).


  • Experience with cloud and hybrid environments


  • Proficiency with modeling tools (e.g., Erwin, PowerDesigner ) SQL, and metadata management.


  • In-depth knowledge of mathematical methodologies such as optimization algorithms, regressions, and predictive modeling


GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE. THIS INCLUDES DIRECT COMPANY SPONSORSHIP, ENTRY OF GM AS THE IMMIGRATION EMPLOYER OF RECORD ON A GOVERNMENT FORM, AND ANY WORK AUTHORIZATION REQUIRING A WRITTEN SUBMISSION OR OTHER IMMIGRATION SUPPORT FROM THE COMPANY (e.g., H-1B, OPT, STEM OPT, CPT, TN, J-1, etc.)

#LI-MD1

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

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We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire .

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