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 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.)

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