Senior Sub-System Lead Engineer, Chassis Data & Analytics

What you'll do

• Develop Behavior Technical Specifications (BTS) for chassis diagnostics and analytics projects.
• Create and maintain requirements for serial data and service-level diagnostics.
• Manage data element tracking, sourcing strategies, and collection cadences for chassis systems.
• Develop and manage supplier data-sharing contracts and privacy impact assessments.
• Coordinate with IT teams to develop requirements for data collection initiatives and features.
• Lead failure mode effects analysis and test regime discussions with developers.
• Report progress of diagnostics and analytics development to leadership on a regular cadence.

What we're looking for

• 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 (required for Level 6).
• 5+ years of experience utilizing data analysis methods and success solving complex problems (required for Level 7).
• 2+ years of experience working with vehicle telematics data, on-board diagnostics, or serial data.
• Sufficiency using programming languages including Python, SQL, Scala, and R.
• Proficiency using the Databricks platform.
• Familiarity with data and analytics architecture, principles, and data governance.
• Familiarity with continuous integration and continuous deployment methodologies in data engineering and analytics workflows.
• Master of Science degree in Computer Science, Engineering, Applied Mathematics, Statistics, Data Governance, or Data Analytics (preferred).
• 8+ years of experience utilizing data analysis methods and success solving complex problems (preferred for Level 7).
• Chassis sub-system understanding including braking, vehicle dynamics, steering, and suspension systems (preferred).
• Proficiency using Spark, Hive, Power BI, MLFlow, MATLAB, Tableau, and Github (preferred).
• Experience with data sharing agreements and privacy impact assessments (preferred).