Your Platform  A truly global company, we have headquarters in Amsterdam, Paris, Turin, and Auburn Hills. We also have technology hubs on the east and west coast of the United States, in South America and India. These locations are the nerve center of our company, where the best ideas combine with unrivalled rigor to create the biggest and best automotive experiences in the world. Stellantis is a leading global mobility player guided by a clear mission: to provide freedom of movement for all through distinctive, appealing, affordable and sustainable mobility solutions. Our Company's strength lies in the breadth of our iconic brand portfolio, the diversity and passion of our 300,000 people, and our deep roots in the communities in which we operate. In this new era of mobility, our portfolio of brands is uniquely positioned to offer distinctive and sustainable solutions to meet the evolving needs of customers, as they embrace electrification, connectivity, autonomous driving and shared ownership. Founded by visionaries who infused them with passion and competitive spirit, these brands have made automotive history for more than a century and continue to speak to customers and inspire our employees today. 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 our people live and work. The AI & Data Analytics Team is building a best-in-class analytics team in support of Stellantis' Product Tech Group. As a member of a Product Intelligence team, your mission is to work alongside our data science, product, and software development partners to put science into decision-making. Responsibilities of the Role ● Designing, developing and maintaining product and feature health metrics and monitoring visualizations ● Working closely & Build relationship with software product managers, designers and engineering stakeholders to answer mission-critical questions ● Advise on data instrumentation needs and work with data engineering and product developers to ensure successful implementation ● Make recommendations by translating data into insights through retrospective analysis of key metrics ● Deliver presentations on analysis results and recommendations to both technical and non-technical audiences ● Build trusted relationships with the software, hardware and product teams acting as a conduit of knowledge Top Performers will be able to demonstrate ● Ability to take a challenging question, gather most important aspects, find the data needed, and recommend data-driven solutions with a road-map. ● Measurable consumer engagement impact through research, retrospective analysis or products built ● Measurable revenue impact t