Senior Business Systems Analyst - AI Enablement

AECOM•Dallas, TX

1d•$120,000 - $165,000•Hybrid

About The Position

AECOM is seeking a Senior Business Systems Analyst focused on AI Enablement to help shape how the business operates today and how it evolves for the future. This role sits at the intersection of business processes, systems thinking, and AI-enabled transformation. The primary focus of this role is understanding complex business workflows and identifying where AI-enabled capabilities, intelligent automation, and decision-support systems can improve operational performance and scalability. You will work closely with business stakeholders, Product, Architecture, and Engineering teams to uncover how processes truly function, define intended outcomes and success measures, and identify opportunities where AI can augment decision-making, automate complex workflows, or introduce operational intelligence. This role is responsible for helping design AI-ready processes. That includes defining clear process intent, decision boundaries, data requirements, human-in-the-loop controls, and measurable outcomes so that AI-enabled systems can operate safely, explainably, and with sustained business value. This position will offer flexibility for hybrid work schedules to include both in-office presence and telecommute/virtual work, to be based from either Houston or Dallas, TX.

Requirements

Bachelor’s degree plus at least 8 years of experience in process analysis, process mapping, and/or business analysis roles, or demonstrated equivalent experience and education
Demonstrated experience leading process discovery and stakeholder engagement across complex business environments
Strong ability to design and communicate future-state processes and translate them into clear requirements and documentation
Experience applying or evaluating AI-enabled or intelligent automation concepts within business processes at a system or outcome level
Strong written communication skills and ability to synthesize complex information into clear, actionable insights
Experience defining AI-ready processes, including human-in-the-loop design, exception handling, and translation into agent requirements and acceptance criteria

Nice To Haves

Experience with BPMN or process modeling tools
Background in Lean, Six Sigma, or continuous improvement
Exposure to process mining, task mining, or operational analytics
Experience partnering with Product, Architecture, or Engineering teams
Familiarity with decision modeling (e.g., DMN), intent design, or agent workflow concepts
Experience translating process mining insights into AI/agent design

Responsibilities

Lead process discovery through stakeholder interviews and workshops, building a deep understanding of business processes, pain points, rules, and outcomes
Design and document as-is and to-be processes, focusing on process intent, value streams, and system-level behavior
Translate process insights into clear artifacts such as process flows, BRDs, and analysis summaries that inform downstream solution design
Apply systems-thinking and an AI-enabled lens to processes, identifying opportunities for automation, decision support, and operational intelligence
Define AI-ready process specifications, including intents, decision logic, data inputs/outputs, human-in-the-loop points, escalation paths, and guardrails
Partner with Product, Architecture, and Engineering to align processes with system boundaries, event signals, data quality requirements, and agentic inputs
Establish outcome measures and KPIs and support post-go-live tracking, governance, and Responsible AI requirements
Support validation, UAT readiness, and continuous improvement by incorporating operational feedback and user corrections over time