Business / Process Analyst AI Reliability Engineering (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Business / Process Analyst AI Reliability Engineering (AI): Designing AI-native system replacements and mapping end-to-end business processes with an accent on automation and predictive decision support. Focus on translating complex business requirements into testable acceptance criteria and optimizing user workflows.
Location: Hybrid; U.S. citizenship and Department of Defense Secret security clearance are required at time of hire
Salary: $106,477 – $115,212 per year
Company
engineers a diverse portfolio of high technology solutions and services for defense and scientific missions.
What you will do
- Map end-to-end current-state business processes, including tasks, roles, systems, and decision points.
- Design future-state processes that leverage AI capabilities such as automation and intelligent routing.
- Perform gap analysis to identify process changes, data requirements, and compliance impacts.
- Analyze user workflows to identify pain points and adoption barriers.
- Define clear, testable acceptance criteria to ensure systems meet business needs.
Requirements
- Bachelor's degree with 5+ years of experience (or Master's with 3+ years) in business analysis, process engineering, or operations analysis.
- U.S. citizenship and active Department of Defense Secret security clearance.
- Proven experience mapping complex business processes across multiple systems and stakeholder groups.
- Experience working with enterprise systems such as ERP, CRM, HRM, or MES.
- Ability to translate business requirements into technical acceptance criteria for engineering teams.
Nice to have
- Experience in system modernization or legacy replacement projects.
- Familiarity with AI/ML capabilities and their application to business processes.
- Background in manufacturing, defense, or complex enterprise environments.
- Proficiency in process modeling tools and methodologies (BPMN, value stream mapping).
- Data literacy, including the ability to read database schemas and write SQL queries.
Culture & Benefits
- Flexible work environment where contributions are recognized and rewarded.
- Highly competitive benefits package.
- Opportunity to work on AI-native system replacements rather than incremental improvements.
- Collaborative culture emphasizing trust, honesty, and transparency.
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