Specialist, Field Monitoring - Technical Field Data

What you’ll do

• Serve as a VoC quality expert, ensuring timely and accurate feedback loops into engineering
• Design and implement customer surveys and feedback frameworks to assess product satisfaction
• Analyze large volumes of unstructured data (social media, web forums, call center logs, customer verbatims) to identify key customer pain points and trends
• Support end-to-end root cause analysis (RCA) of customer issues across full vehicle systems, including powertrain, high-voltage battery, and connected features
• Identify patterns in fleet data to enable early detection of emerging quality issues
• Drive faster resolution through data-driven insights and cross-functional collaboration
• Define and implement strategies for collecting, organizing, and analyzing large-scale connected vehicle data
• Partner with engineering teams to establish vehicle data policies, signal strategies, and telemetry requirements
• Perform advanced data analysis to correlate vehicle behavior, software versions, and customer-reported issues
• Leverage analytics to improve customer satisfaction, reliability, and warranty performance
• Act as the bridge between software-defined vehicle data policies and real-world engineering insights
• Ensure data pipelines are robust, accurate, and actionable
• Enable a VIN-level (Vehicle 360) view for comprehensive lifecycle traceability

What you’ll bring

• A bachelor’s degree in engineering, computer science and/or data science
• 5+ years in an environment related to technical data processing, preferably within a vehicle manufacturer or supplier environment
• Experience in automotive engineering, quality, or field issue analysis, ideally in EV or connected vehicle environments
• Hands-on experience with data analytics tools and large datasets (e.g., Databricks, SQL, Python, cloud platforms)
• Experience in running Java Script, Python, SQL, HTML/CSS
• Experience in deploying AI-based solutions and tools for data processing. Ability to build full-scale AI-powered products from scratch using available open AI
• Familiarity with AI/ML concepts and applications in anomaly detection or predictive analytics
• Strong understanding of vehicle systems (powertrain, battery, diagnostics, telematics)
• Ability to work across functions and translate data insights into engineering actions
• Experience working with customer feedback systems and VoC analytics
• Experience with PBI and PowerApps, building app own-made solutions for data analytics.
• Strong interpersonal skills, with experience working in multicultural and team-oriented environments.