Pre-analysis specialist — ai & field issue detection

Stellantis is a leading global automaker and mobility provider that offers clean, connected, affordable and safe mobility solutions. Our Company’s strength lies in the breadth of our iconic brand portfolio, the diversity and passion of our people, and our deep roots in the communities in which we operate. Our ambitious electrification and software strategies and the creation of an innovative ecosystem of strategic, game‑changing partnerships are driving our transformation to a sustainable mobility tech company. The driving force behind us is the diverse and talented group of men and women around the world who bring their passion and experience to their work every day. And while we are a truly global organization, we remain deeply rooted in the communities in which we operate and where our colleagues live and work. With industrial operations in nearly 30 countries, Stellantis could consistently exceed the evolving needs and expectations of consumers in more than 130 markets, while creating superior value for all stakeholders. Mission His/her overall goal is to reduce the number of defects on our cars in the field. Main Responsibilities His/her main role is to perform pre‑analysis of issues in the field: characterization & handover. In his/her scope of responsibility (part of vehicle, propulsion...)he/she is in charge of: the detection of issues in the field - the alert in case of crisis (or recurrence or media risk) hand over the issue to the right owner (supplier, plant, engineering, after/sales) with the appropriate priority, or if it’s an already known issue, update the database. All sources of issues should be used (warranty claims, DID, OTA data...). Use of AI and big data analytics tools to perform the activities. All actions are made in accordance with the existing standards; actions are traced in IT systems (Palantir/Foundry, GIM/Altis/PLM). Use of AI and big data analytics tools for early detection. Requirements Degree in Engineering Proven experience in the automotive industry Solid understanding of both hardware and software systems Familiar with Data Lakes, Databases, and AI logic Understanding of connected vehicles and OTA data Agile, proactive, and analytical problem solver Strong interest in working within a global and multicultural environment At Stellantis , we assess candidates based on qualifications, merit and business needs. We welcome applications from people of all gender identities, age, ethnicity, nationality, religion, sexual orientation and disability. Diverse teams will allow us to better meet the evolving needs of our customers and care for our future. #J-18808-Ljbffr