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

United States·Newarksenior

OtherEngineer

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Quick Summary

Key Responsibilities

Lead the

Technical Tools

OtherEngineer

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

Responsibilities

~1 min read

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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.

Requirements

~2 min read

(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.

Nice to Have

~2 min read

(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.

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What We Offer

~1 min read

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