Manager, Data Platform - AI Engineering

Here at Scout Motors, we're carrying forward the heritage of one of the most iconic American vehicles in history. A vehicle dating back to 1960. One that forged the path for future generations of rugged SUVs and trucks and will do so once again. But Scout is more than just a brand, it’s a legacy steeped in a culture of exploration, caretaking, and hard work. The Scout brand is all about respect. Respect for the past and the future by taking an iconic American brand that hasn’t been around for a while, electrifying it, digitizing it, and loading it with American innovation. Respect for communities by creating a company that stands for its people and its customers. Respect for both work and play, with vehicles that are equally at home at a camp site, a job site, or on a Tuesday commute. And respect for our customers by developing two powertrains that meet their requirements — an all-electric powertrain as well as the Harvester™ range extender powertrain which includes a built-in gas-powered generator with an estimated 500 miles of combined range. At Scout Motors, we empower our talented, inclusive, and entrepreneurial teams to innovate. What makes a Scout employee? Someone who is a visionary and a leader, who seeks new paths and shares lessons learned. A knowledgeable doer who collaborates across the company to build better. A go-getter with unrivaled passion. Join us at Scout Motors and be part of shaping the future of transportation. If you're ready to drive change and make history, apply now!What you’ll do Become part of an iconic brand that is set to revolutionize the electric pick-up truck & rugged SUV marketplace by achieving the following:  The Manager, Data and AI Engineering is a hands-on technical leader responsible for leading and developing a team of Data Engineers and AI Engineers while actively contributing to the design, development, and deployment of enterprise Data and AI solutions.  This person will lead multiple agile teams and drive the development of modern data platforms, AI-enabled applications, intelligent agents, and Generative AI solutions while ensuring delivery excellence, scalability, security, governance, and operational support.  Lead, mentor, and develop a team of Data Engineers, AI Engineers, and technical consultants.   Establish team goals, performance expectations, career development plans, and technical growth initiatives.   Foster a high-performing engineering team environment focused on innovation, collaboration, quality, and continuous improvement.   Provide technical guidance, coaching, and code reviews across Data Engineering and AI initiatives.   Participate in recruiting, hiring, onboarding, and workforce planning activities.   Architect, design, develop, and support scalable data platforms utilizing Databricks and cloud-native technologies.   Lead development of enterprise data pipelines and ETL/ELT processes supporting ana...