Systems Specialist, AI Data

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: • Create detailed functional, technical, integration, data, and solution specifications that enable successful delivery of Data, Analytics, AI, and platform initiatives. • Analyze requirements and translate them into detailed functional and technical specifications. • Document end-to-end system workflows, business rules, integration requirements, and operational processes. • Identify impacts across upstream and downstream systems. • Analyze source systems and data structures supporting Data and AI use cases. • Create source-to-target mappings, transformation specifications, and data lineage documentation. • Define data quality validations, reconciliation rules, and exception handling requirements. • Define interface requirements between enterprise applications, manufacturing systems, ERP, CRM, Vehicle, and Data Platforms. • Document API specifications, payload mappings, integration workflows, and event-driven interactions. • Support system integration testing and validation activities. • Partner with AI Engineers and Data Scientists to document model inputs, outputs, feature requirements, and operational workflows. • Define business rules supporting AI solutions, copilots, intelligent agents, and analytics applications. • Document AI solution flows and integration touchpoints with enterprise systems. • Support AI solution testing and business validation. • Develop acceptance criteria in partnership with Product teams. • Coordinate User Acceptance Testing (UAT) activities. • Validate delivered solutions against approved requirements and design specifications. • Assist with production readiness reviews and deployment validation. • Ensure solutions align with enterprise data governance, security, and compliance standards. • Support assigned Data, Analytics, and AI initiatives through requirements documentation, testing support, and coordination with project stakeholders. • Participate in backlog refinement sessions and provide requirements clarification. • Escalate identified dependencies, risks, and blockers to project and delivery leads. • Support sprint and release activities by tracking assigned requirements and testing deliverables. Location & Travel Expectations: • This role will be based out of the Scout Motors corporate headquarters in Charlotte,…