Drimva

General Motors

Staff Systems Analyst - Global Design IT

Warren, Michigan, United States of America · Hybrid · Staff · Full-time · Posted Aug 6, 2026

Experience
8+ years; no alternatives stated.
Education
Bachelor's degree in Computer Science, Information Systems, Engineering, Business, or equivalent experience.
Visa sponsorship
GM does not provide immigration-related sponsorship for this role, now or in the future.

About the job

Partners with Global Design and R&D stakeholders to translate business needs into digital technology solutions, leading delivery and continuous improvement across applications and platforms.

What you'll do

  • Gather and translate business requirements into functional specifications, workflows, and technology roadmaps.
  • Coordinate solution delivery across product, engineering, architecture, infrastructure, cybersecurity, and vendor teams.
  • Improve and support solutions throughout their lifecycle, including process modernization, adoption, performance, and governance.

What they ask for

  • Bachelor's degree in Computer Science, Information Systems, Engineering, Business, or equivalent experience.
  • 8+ years of experience in business systems analysis, product delivery, digital transformation, software development, or related technology disciplines.
  • Experience designing and supporting enterprise infrastructure across Windows, Linux, and macOS environments, with hands-on Microsoft Azure experience.
  • Experience supporting custom/internal applications and leading technology initiatives; strong requirements analysis and Agile delivery experience.

Nice to have

  • Experience in automotive design, engineering, research, simulation, visualization, manufacturing, or product development.
  • Experience with AI/ML and Databricks; Jira experience.

Tools

Windows, Linux, macOS, Microsoft Azure, Angular, React, Python, Docker

AI focus

Preferred experience with AI/ML and AI/ML-enabled business processes; the role may support related business processes and digital transformation.

Model-written summary · the original posting is authoritative

First seen Oct 28, 2026 · Last verified Nov 6, 2026 (UTC)