Systems Specialist, AI Data

Scout MotorsCharlotte, NC
Onsite

About The Position

Scout Motors is bringing back an iconic American vehicle brand, electrifying and digitizing it with American innovation. We are seeking talented, inclusive, and entrepreneurial individuals to join our team and help shape the future of transportation. This role will be instrumental in revolutionizing the electric pick-up truck & rugged SUV marketplace by creating detailed specifications for Data, Analytics, AI, and platform initiatives. You will analyze requirements, document system workflows, identify impacts across systems, and define data structures and integration requirements. You will also partner with AI Engineers and Data Scientists to document AI solution flows and support testing and validation activities, ensuring alignment with enterprise data governance, security, and compliance standards.

Requirements

  • Bachelor's degree in computer science, information technology, or related field or equivalent work experience.
  • 4+ years of experience as a Systems Analyst, Data Analyst, or Technical Analyst.
  • Strong understanding of enterprise data ecosystems and system integrations.
  • Experience working with Data Engineering and AI teams.
  • Strong SQL and data analysis skills.
  • Experience with ETL/ELT
  • Experience with Data Lakes
  • Experience with MDM
  • Experience with APIs and Integration Patterns
  • Experience with Data Quality and Governance
  • Experience with Jira, Confluence, Lucid chart and similar tools.
  • Strong documentation and analytical skills.
  • Ability to translate requirements into implementation-ready technical specifications.

Responsibilities

  • 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.

Benefits

  • Medical insurance
  • Dental insurance
  • Vision insurance
  • Income protection plans
  • 401(k) program with an employer match and immediate vesting
  • 20 days planned PTO, as accrued
  • 40 hours of unplanned PTO
  • 14 company or floating holidays, annually
  • Up to 16 weeks of paid parental leave for biological and adoptive parents of all genders
  • Paid leave for circumstances related to bereavement, jury duty, voting time, or military leave
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