Scrum Lead – Chassis Analytics

General Motors is hiring a Scrum Lead for its Chassis Analytics team in Cammack Village, Pulaski County, US. Lead a 6‑12 engineer scrum team developing AI‑driven software for braking, steering, suspension and vehicle dynamics.

Key Responsibilities

• Facilitate daily scrums, sprint planning, reviews and retrospectives for the Chassis Analytics software team.
• Guide the team in designing, developing and deploying machine‑learning models and analytics tools for chassis performance.
• Collaborate with domain experts, product owners and senior engineers to translate vehicle‑dynamics requirements into technical solutions.
• Ensure delivery of high‑quality code, maintainable architecture and compliance with GM’s safety and security standards.
• Track progress, remove impediments and report status to senior leadership.

Required Qualifications

• 5+ years of experience in software development, with at least 2 years in a Scrum Master or Lead role.
• Strong knowledge of data analysis, machine learning, and AI concepts applied to automotive chassis systems.
• Proficiency with Agile tools (Jira, Confluence) and CI/CD pipelines.
• Excellent communication, coaching and stakeholder‑management skills.
• Bachelor’s degree in Computer Science, Engineering, or a related field; advanced degree a plus.

Preferred Experience

• Background in automotive engineering or vehicle dynamics.
• Hands‑on experience with Python, C++, MATLAB, or similar analytics languages.
• Familiarity with cloud platforms (AWS, Azure) for large‑scale data processing.

Compensation & Benefits

Salary range: $140,433.11 annually. GM offers comprehensive health plans, 401(k) matching, tuition assistance, and a collaborative innovation environment.

Frequently Asked Questions

What does a Scrum Lead do in the Chassis Analytics team?

The Scrum Lead facilitates Agile ceremonies, removes blockers, guides technical decisions and ensures the team delivers AI‑driven software for chassis systems on schedule.

What technical skills are required for this role?

Experience with data analysis, machine learning, Python or C++ programming, and familiarity with automotive chassis domains such as braking and suspension.

Is prior automotive experience mandatory?

It is preferred but not mandatory; strong software and Agile leadership skills are the core requirements.