Scrum Lead – Chassis Analytics

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

Key Responsibilities

• Lead a cross‑functional scrum team in the design, development, and delivery of chassis analytics software solutions.
• Facilitate sprint planning, daily stand‑ups, retrospectives and backlog grooming.
• Collaborate with data scientists, machine‑learning engineers and domain experts to translate vehicle dynamics requirements into technical specifications.
• Ensure high‑quality code, continuous integration, and automated testing practices.
• Track progress against KPIs, manage risks and remove impediments to keep the team on schedule.
• Report status, insights and performance metrics to senior leadership and product owners.

Required Qualifications

• Bachelor’s degree in Computer Science, Engineering, or related field (advanced degree preferred).
• 5+ years of software development experience, with at least 2 years in a Scrum Master or Agile Lead role.
• Strong knowledge of data analytics, machine learning, and AI concepts applied to automotive chassis systems.
• Proficiency with modern programming languages (e.g., Python, C++, Java) and data‑processing frameworks.
• Excellent communication, facilitation, and stakeholder‑management skills.
• Experience with Agile tools such as JIRA, Confluence, or Azure DevOps.

Preferred Experience

• Background in automotive engineering, vehicle dynamics, or related vehicle domains.
• Hands‑on experience with sensor data, CAN bus, or real‑time telemetry.
• Certification as Scrum Master (PSM, CSM) or SAFe Agilist.

Compensation & Benefits

Salary: $101,035.84 annually (fixed). Comprehensive health, dental and vision plans, 401(k) match, paid time off, and continuous learning opportunities.

Frequently Asked Questions

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

The Scrum Lead facilitates Agile ceremonies, removes impediments, and guides a 6‑12 engineer team to deliver AI‑powered software for braking, steering, suspension and vehicle dynamics.

What technical skills are required for this role?

Strong background in software development, data analytics, machine learning, and programming languages such as Python or C++. Knowledge of automotive chassis systems is a plus.

Is prior automotive experience mandatory?

It is not mandatory, but experience with vehicle dynamics, sensor data, or automotive engineering greatly strengthens your application.