General Motors-posted 4 months ago
Full-time • Senior
Hybrid • Warren, MI
Transportation Equipment Manufacturing

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.

  • 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.
  • 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.
  • 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.
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