Business / Process Analyst — AI Reliability Engineering

General Dynamics is a leading company in high technology solutions, and they are seeking a Business / Process Analyst for AI Reliability Engineering. The role involves mapping current business processes, designing future state processes leveraging AI, and conducting gap analysis to ensure successful implementation of new systems.

Responsibilities:

• Current-state process mapping. Document existing business processes end-to-end: tasks, roles, systems, handoffs, decision points, exceptions, and workarounds. Get the real process, not the documented one
• Future-state design. Work with Domain SMEs and the engineering team to define target processes that leverage AI capabilities — automation, intelligent routing, predictive decision support — while preserving business rules that exist for a reason
• Gap analysis. Identify what changes between current and future state — process changes, data requirements, training needs, compliance impacts. Make the implicit explicit
• User workflow analysis. Understand who performs each task, what systems they touch, what their pain points are, and what adoption barriers exist. The best system in the world fails if people won't use it
• Acceptance criteria. Define clear, testable criteria for whether the new system meets the business need. Work with the Product Owner to ensure the pod builds what the business actually requires

Requirements:

• Bachelor's degree plus 5 years of experience in business analysis, process engineering, or operations analysis
• Demonstrated experience mapping complex business processes across multiple systems and stakeholder groups — not just documenting what people tell you, but observing and validating how work actually flows
• Experience with enterprise systems (ERP, CRM, HRM, MES, or similar) — you understand how these systems support business operations and where they create friction
• Strong communication skills — you can interview a shop floor operator at 6am and present findings to a VP at 2pm, and both conversations are productive
• Experience translating business requirements into clear, testable acceptance criteria that engineering teams can build against
• U.S. citizenship required. Department of Defense Secret security clearance is required at time of hire
• Experience in system modernization or legacy replacement projects — you have been through the pain of migrating off a system that an organization has used for 15+ years
• Familiarity with AI/ML capabilities — enough to understand what automation, intelligent routing, and predictive analytics can realistically do for a business process
• Experience in manufacturing, defense, or complex enterprise environments with process compliance requirements
• Process modeling tools and methodologies (BPMN, value stream mapping, or similar)
• Data literacy — you can read a database schema, understand data flows, and have credible conversations with data engineers about what information exists and where