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)
What You’ll Do:
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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.
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Create and maintain requirements for serial data and service-level diagnostics (ex. RIDs/DIDs) using “On-board Diagnostic Principles” and communication services.
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Organize and approve requirements written by other group members.
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Maintain privacy impact assessments for the data that the group collects and uses.
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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.
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Develop and manage supplier data-sharing contracts.
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Develop and manage requirements for the data collection initiatives, capabilities, and features throughout the group by working with our IT teams to
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Demonstrate exceptional communication skills while reporting out to leadership (on a regular cadence) the progress of diagnostics and analytics development.
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Lead failure mode effects analysis and test regime discussions with our diagnostics and analytics developers.
Your Skills & Abilities (Required Qualifications):
(Required for Level 6)
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Bachelor of Science degree in Computer Science, Engineering, Applied Mathematics, Statistics, Data Governance, or Data Analytics.
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3+ years of experience utilizing data analysis methods and success solving complex problems.
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2+ years of experience of working with vehicle telematics data, on-board diagnostics, or serial data.
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Sufficiency using relevant programming languages: Python, SQL, Scala, & R.
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Proficiency using the Databricks platform.
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Familiarity with data and analytics architecture and principles.
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Familiarity with continuous integration and continuous deployment methodologies and their application in data engineering and analytics workflows.
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Familiarity with data governance principles.
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Capable of converting ambiguous problem statements into concrete project requirements.
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Passion for data driven results and customer initiatives.
(Required for Level 7)
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Bachelor of Science degree in Computer Science, Engineering, Applied Mathematics, Statistics, Data Governance, or Data Analytics.
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5+ years of experience utilizing data analysis methods and success solving complex problems.
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2+ years of experience of working with vehicle telematics data, on-board diagnostics, or serial data.
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Sufficiency using relevant programming languages: Python, SQL, Scala, & R.
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Proficiency using the Databricks platform.
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Familiarity with data and analytics architecture and principles.
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Familiarity with continuous integration and continuous deployment methodologies and their application in data engineering and analytics workflows.
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Familiarity with data governance principles.
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Capable of converting ambiguous problem statements into concrete project requirements.
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Passion for data driven results and customer initiatives.
What Will Give You A Competitive Edge (Preferred Skills):
(Preferred for Level 6)
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Master’s of Science degree in Computer Science, Engineering, Applied Mathematics, Statistics, Data Governance, or Data Analytics.
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Chassis sub-system understanding (i.e. braking, vehicle dynamics, steering, and/or suspension systems).
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Proficiency using relevant programming languages: Python, SQL, Scala, & R.
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Proficiency using relevant programming tools: Databricks, Spark, Hive, and Power BI.
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Proficiency/Certifications using relevant tools: Databricks (Certification), MLFlow, MATLAB, Tableau & Github.
(Preferred for Level 7)
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Master’s of Science degree in Computer Science, Engineering, Applied Mathematics, Statistics, Data Governance, or Data Analytics.
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8+ years of experience utilizing data analysis methods and success solving complex problems.
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Chassis sub-system understanding (i.e. braking, vehicle dynamics, steering, and/or suspension systems).
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Proficiency using relevant programming languages: Python, SQL, Scala, & R.
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Proficiency using relevant programming tools: Databricks, Spark, Hive, and Power BI.
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Proficiency/Certifications using relevant tools: Databricks (Certification), MLFlow, MATLAB, Tableau & Github.
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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.)
Ce poste est hybride. Cela signifie que le candidat retenu doit se rendre sur un site donné au moins trois fois par semaine {ou à une autre fréquence imposée par son supérieur hiérarchique}.
Ce poste ne donne pas droit à des indemnités de déménagement. Les éventuels frais de déménagement seront à la charge du candidat retenu.
Renseignements sur la diversité
General Motors est résolue à être un lieu de travail qui est non seulement exempt de discrimination illégale, mais aussi un endroit qui favorise véritablement l'inclusion et l'appartenance. Nous sommes convaincus que la diversité de la main-d'œuvre permet de créer un environnement dans lequel nos employés peuvent s'épanouir et développer de meilleurs produits pour nos clients. Nous encourageons les candidats intéressés à consulter les principales responsabilités et compétences requises pour chaque rôle et à postuler à tout poste qui leur correspond. Dans le cadre du processus de recrutement, les candidats peuvent devoir, le cas échéant, réussir une évaluation liée au poste ou une présélection d'emploi avant d'être embauchés. Pour en savoir plus, consultez notre processus de recrutement.
Déclaration concernant l'égalité d'accès à l'emploi (É.-U.)
General Motors est fière d'être un employeur souscrivant au principe de l'égalité d'accès à l'emploi. Tous les candidats qualifiés seront pris en compte, sans égard à la race, à la couleur, à la religion, au sexe, à l'orientation sexuelle, à l'identité de genre, à l'origine ethnique, aux situations de handicap ou au statut protégé d'ancien combattant.
Aménagements (É.-U. et Canada)
General Motors offre des occasions à tous les chercheurs d'emploi, y compris les personnes handicapées. Si vous avez besoin d'un accommodement raisonnable pour vous aider dans votre recherche d'emploi ou la soumission de votre candidature, envoyez-nous un courriel à l'adresse [email protected] ou appelez-nous au 800 865-7580. Veuillez inclure dans votre courriel une description spécifique du type d'accommodement demandé, ainsi que le titre d'emploi et le numéro de demande du poste auquel vous postulez.