Sub-System Lead Engineer OR Senior Sub-System Lead Engineer (Chassis Data & Analytics)

generalmotors; Newark Township (MI); Hybrid; USD 120,000 - 190,000; Full time

Job summary

General Motors is seeking a Chassis Diagnostics & Analytics Sub-system Lead Engineer to shape how next‑generation vehicles are monitored, diagnosed, and improved. You will lead diagnostic specifications, data strategies, and on‑board health monitoring for chassis systems across braking, steering, suspension, and dynamics.

You will collaborate with partners across IT and engineering, report progress to leadership, and help build analytics foundations that enable safer, more reliable mobility in a

Qualifications

• Bachelor of Science degree in Computer Science, Engineering, Applied Mathematics, Statistics, Data Governance, or Data Analytics.
• 3+ years of experience utilizing data analysis methods and solving complex problems.
• 2+ years of experience with vehicle telematics data, on-board diagnostics, or serial data.
• Proficiency in Python, SQL, Scala, & R.
• Databricks platform experience.
• Familiarity with data and analytics architecture and principles.
• Familiarity with CI/CD in data engineering/analytics workflows.
• Familiarity with data governance principles.
• Ability to translate ambiguous problem statements into concrete project requirements.
• Passion for data-driven results and customer initiatives.

Responsibilities

• Lead the requirements documentation and coordination by developing Behavior Technical Specifications for chassis diagnostics and analytics projects and translating these to project initiatives, capabilities, and features.
• Create and maintain requirements for serial data and service-level diagnostics using On-board Diagnostic Principles and communication services.
• Organize and approve requirements written by other group members.
• Maintain privacy impact assessments for the data that the group collects and uses.
• Manage the data element tracking and sourcing strategy for the chassis space, including data elements, databases, tables, and collection cadences.
• Develop and manage supplier data-sharing contracts.
• Develop and manage requirements for data collection initiatives with IT teams.
• Demonstrate exceptional communication skills while reporting progress to leadership.
• Lead failure mode effects analysis and test regime discussions with diagnostics and analytics developers.

Skills

Data analysis

Vehicle telematics data

On-board diagnostics

Python

SQL

Scala

R

Databricks platform

CI/CD for data engineering

Data governance principles

Problem framing

Communication to leadership

Education

Bachelor of Science in Computer Science, Engineering, Applied Mathematics, Statistics, Data Governance, or Data Analytics

Tools

Databricks

Job description

Job Description

The Role:

As a Chassis Diagnostics & Analytics Sub-system Lead Engineer, you will play a key role in shaping how next-generation vehicles are monitored, diagnosed, and improved. This is an opportunity to lead high-impact work at the intersection of diagnostics, data, and vehicle innovation—defining the capabilities that help enable smarter, safer, and more reliable chassis systems across braking, steering, suspension, and vehicle dynamics.

In this role, you will turn complex technical challenges into clear, actionable solutions by leading diagnostic specifications, shaping core data strategies, and strengthening on-board health monitoring capabilities. You’ll collaborate across a broad network of partners, influence both technical direction and execution, and help build trusted analytics foundations that support the future of software-defined vehicles. If you are energized by solving complex problems, leading with technical depth, and making a visible impact on the future of mobility, this is a unique opportunity to help drive GM’s vision of Zero Crashes, Zero Emissions, and Zero Congestion.

*This role is open to hire at 1 of 2 levels. (L6 or L7)

WhatYou’llDo:

• Lead the requirements documentation and coordination by developing Behavior Technical Specifications (BTS’s) for chassis diagnostics and analytics projects and translating these to project initiatives, capabilities, and features.

• Create and maintain requirements for serial data and service-level diagnostics (ex. RIDs/DIDs) using “On-board Diagnostic Principles” and communication services.

• Organize and approve requirements written by other group members.

• Maintain privacy impact assessments for the data that the group collects and uses.

• Manage the data element tracking and sourcing strategy for the chassis space, including establishing required data elements, documenting source databases and tables, and proposing proper collection cadences.

• Develop and manage supplier data-sharing contracts.

• Develop and manage requirements for the data collection initiatives, capabilities, and features throughout the group by working with our IT teams to

• Demonstrate exceptional communication skills while reporting out to leadership (on a regular cadence) the progress of diagnostics and analytics development.

• Lead failure mode effects analysis and test regime discussions with our diagnostics and analytics developers.

Your Skills & Abilities (Required Qualifications):

(Required for Level 6)

• Bachelor of Science degree in Computer Science, Engineering, Applied Mathematics, Statistics, Data Governance, or Data Analytics.

• 3+ years of experience utilizing data analysis methods and success solving complex problems.

• 2+ years of experience of working with vehicle telematics data, on-board diagnostics, or serial data.

• Sufficiency using relevant programming languages: Python, SQL, Scala, & R.

• Proficiency using the Databricks platform.

• Familiarity with data and analytics architecture and principles.

• Familiarity with continuous integration and continuous deployment methodologies and their application in data engineering and analytics workflows.

• Familiarity with data governance principles.

• Capable of converting ambiguous problem statements into concrete project requirements.

• Passion for data driven results and customer initiatives.

(Required for Level 7)

• Bachelor of Science degree in Computer Science, Engineering, Applied Mathematics, Statistics, Data Governance, or Data Analytics.

• 5+ years of experience utilizing data analysis methods and success solving complex problems.

• 2+ years of experience of working with vehicle telematics data, on-board diagnostics, or serial data.

• Sufficiency using relevant programming languages: Python, SQL, Scala, & R.

• Proficiency using the Databricks platform.

• Familiarity with data and analytics architecture and principles.

• Familiarity with continuous integration and continuous deployment methodologies and their application in data engineering and analytics workflows.

• Familiarity with data governance principles.

• Capable of converting ambiguous problem statements into concrete project requirements.

• Passion for data driven results and customer initiatives.

What Will Give YouACompetitive Edge (Preferred Skills):

(Preferred for Level 6)

• Master’s of Science degree in Computer Science, Engineering, Applied Mathematics, Statistics, Data Governance, or Data Analytics.

• Chassis sub-system understanding (i.e. braking, vehicle dynamics, steering, and/or suspension systems).

• Proficiency using relevant programming languages: Python, SQL, Scala, & R.

• Proficiency using relevant programming tools: Databricks, Spark, Hive, and Power BI.

• Proficiency/Certifications using relevant tools: Databricks (Certification), MLFlow, MATLAB, Tableau & Github.

(Preferred for Level 7)

• Master’s of Science degree in Computer Science, Engineering, Applied Mathematics, Statistics, Data Governance, or Data Analytics.

• 8+ years of experience utilizing data analysis methods and success solving complex problems.

• Chassis sub-system understanding (i.e. braking, vehicle dynamics, steering, and/or suspension systems).

• Proficiency using relevant programming languages: Python, SQL, Scala, & R.

• Proficiency using relevant programming tools: Databricks, Spark, Hive, and Power BI.

• Proficiency/Certifications using relevant tools: Databricks (Certification), MLFlow, MATLAB, Tableau & Github.

• Experience with data sharing agreements and privacy impact assessments.

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., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc).This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}.This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate.

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.