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General Motors

Senior Business Intelligence Data Modeler

Posted Yesterday
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Hybrid
Warren, MI
Senior level
Hybrid
Warren, MI
Senior level
Lead architecture and modeling of enterprise analytics environments, develop data solutions, mentor team members, and promote data governance.
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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 medallion 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 medallion 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.
Total Rewards | Benefits Overview
From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.
Non-Discrimination and Equal Employment Opportunities (U.S.)
General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.
All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.
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.
Accommodations
General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us [email protected] or call us at 800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Top Skills

Cloud Data Platforms
Databricks
Elt
Erwin Data Modeler
ETL
Ibm
Powerdesigner
Snowflake
SQL
Teradata

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