Who We Are:
At UES, we’re a team of more than 4,000 engineers, scientists, geologists, inspectors, technicians, and drillers united by a shared purpose—to make a meaningful impact in the communities we serve. As a national leader in geotechnical engineering, environmental consulting, and materials testing and inspection, we collaborate on transformative projects across transportation, energy, water, healthcare, and more. Learn more about the benefits of joining Team UES and our core values at careers.teamues.com.
Position Overview:
Join UES as a Business Analyst in Orlando and be the hands-on driver helping turn manual processes into scalable, AI-enabled workflows in support of our AI Strategy & Integration initiatives. This role will assist with the identification, design, and delivery of AI and automation solutions across the organization—bridging business stakeholders and technical teams to improve and modernize existing processes through applied AI.
You’ll be responsible for understanding current-state workflows, uncovering AI-driven improvement opportunities, defining business and functional requirements for intelligent solutions, and supporting implementation, deployment, and user adoption. This role operates at the intersection of business analysis, digital transformation, and applied AI.
We’re looking for a highly organized, early-career, project-focused Business Analyst who pairs technical literacy with strong project and change-management skills. You focus on user workflows, adoption, and measurable business impact, bring operational empathy from field-facing work or deep frontline immersion, and have proven experience contributing to AI/automation pilots or rollouts.
This is a ground-floor opportunity in UES’s AI journey: you can expect direct engagement with end users, high visibility with leadership, and the chance to deliver measurable improvements that impact thousands of employees while accelerating your career in a fast-growing organization
Responsibilities:
AI Opportunity Identification & Process Transformation: Maintain a prioritized pipeline of AI opportunities; map As‑Is and To‑Be workflows; evaluate feasibility, risks, and ROI-
Project Management: Maintain project plans, trackers, and documentation; monitor progress, surface risks, and prioritize workstreams
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Stakeholder Discovery & Requirements Translation: Run end-user discovery sessions and capture action items; translate user needs into clear business requirements, then convert them into functional/technical requirements (user stories, acceptance criteria, decision logic, data needs, success metrics)
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Solution Design & Delivery Support: Design process flows and decision logic; translate needs into technical requirements and collaborate with developers
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Testing & Validation: Define test/UAT scenarios and validate AI outputs, performance, usability, and business alignment prior to release
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Deployment, Training & Hypercare: Support rollout/readiness plans, go‑live execution, and hypercare; create/deliver training materials and gather feedback
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Change Management & Adoption: Prepare communications, gather training feedback, provide go‑live support, and track adoption metrics
Job Responsibilities Note:
The above statements are intended to describe the general nature and level of work being performed. They are not intended to be construed as an exhaustive list of all responsibilities, duties, and skills required of personnel so classified. UES retains the right to add to or change the duties of the position at any time.
Qualifications:
