Bachelor's degree in Data Analytics, Data Science, AI, Computer Science, Electrical Engineering, or related field
Minimum of 8 years of relevant work experience
Proficiency in Genie, AI/ML tools, Python, and advanced data analytics
Strong understanding of fleet operations and KPI development
Knowledge of vehicle electronic architectures and signal variations across fleets
Responsibilities
Identify upcoming fleets and determine necessary BDCs and signals for tracking
Define and monitor KPIs for fleet monitoring
Utilize AI, machine learning, and data analytics tools to analyze vehicle data and identify trends
Organize pre-production sample testing in collaboration with Data Science teams
Ensure fleet data is published and accessible within required systems
Participate in fleet-management and safety-steering meetings to coordinate issue resolution
Review mileage data, summarize issues, and recommend improvements
Support JARVIS deployment and test new features and KPIs
Benefits
Technical direction and coaching opportunities for junior engineers
Collaboration with cross-functional teams
Exposure to advanced AI and data analytics technologies
Opportunity to influence fleet monitoring and tool evolution
Engagement in innovative projects with a focus on vehicle data
Full Job Description
Mission: Lead data analytics activities for fleet monitoring and tool evolution, applying AI and advanced analytics to process and analyze vehicle data collected through JARVIS and support system improvements.
Key Responsibilities:
Identify upcoming fleets for the region and determine the necessary BDCs and signals for tracking.
Define and monitor specific KPIs for fleet monitoring.
Use AI, machine learning, and data analytics tools to process and analyze JARVIS vehicle data and identify meaningful trends, anomalies, and performance insights.
Organize pre-production sample testing after the first vehicle is equipped, in collaboration with Data Science teams.
Ensure fleet data is properly published and available within the required systems.
Participate in weekly fleet-management and safety-steering meetings, coordinating issue resolution with local teams (HMT,suppliers, and IT)
Review and analyze Mileage traveled by each fleet, summarize issues, and recommend improvements.
Support JARVIS deployment and test new features and KPIs.
Provide technical direction, coaching, and guidance to junior engineers in the U.S. and other regions supporting North American vehicle-data activities.
Basic Qualifications:
Bachelor's degree in Data Analytics, Data Science, Artificial Intelligence, Computer Science, Electrical Engineering, or a related engineering field
A minimum of 8 years of work experience
Experience with Genie, AI/ML tools, Python code, and advanced data analytics.
Strong understanding of fleet operations and vehicle signals used for KPI development.
Knowledge of vehicle electronic architectures and signal variations across fleets.
Preferred Qualifications:
Master's degree in Data Analytics, Data Science, Artificial Intelligence, Computer Science, Electrical Engineering, or a related engineering field
Experience in Databricks
Experience with SI Roulage, JARVIS, Aptiv, or comparable fleet-monitoring and data-acquisition tools.
Strong analytical, problem-solving, communication, and cross-functional collaboration skills.
Ability to work independently and provide technical leadership across regional teams.
About Stellantis
Stellantis is a multinational automotive manufacturer formed in 2021 by the merger of Fiat Chrysler Automobiles and Groupe PSA. The company designs, produces, and sells a wide range of vehicles under various brands, including Alfa Romeo, Chrysler, Citroen, Dodge, DS Automobiles, Fiat, Jeep, Lancia, Maserati, Opel, Peugeot, Ram, and Vauxhall. Stellantis operates in over 130 countries and has 14 brands in its portfolio. The company is committed to sustainable mobility and has set ambitious targets for reducing its carbon footprint and increasing the share of electric vehicles in its sales.
