Manager, AI Process Transformation

AECOM•Dallas, TX

1d•$14,000 - $180,000•Hybrid

About The Position

AECOM is seeking a Manager, AI Process Transformation to help shape how AI-enabled capabilities are introduced into operational workflows across the business. This role will play a key part in defining future-state business processes, identifying where AI and intelligent automation can improve operational outcomes, and helping scale enterprise transformation initiatives across complex operational environments. The ideal candidate brings strong experience leading process discovery, operational transformation, and cross-functional business initiatives, along with the ability to evaluate workflows through an AI lens — understanding where AI, intelligent automation, or decision-support capabilities can create measurable business value. This is not a traditional Business Analyst role focused only on documentation, and it is not an AI engineering role focused on model development. The focus is operational systems thinking, value-based process transformation, and AI opportunity identification. 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 business systems analysis, operational transformation, or AI and intelligent automation roles, or demonstrated equivalency of experience and/or education
Experience leading enterprise process discovery and operational transformation initiatives
Strong systems-thinking and end-to-end workflow design capabilities
Experience evaluating or implementing AI-enabled workflows, intelligent automation, or decision-support processes in operational environments
Ability to identify where AI adds value within a business process versus where rules-based automation or human decisioning is more appropriate
Strong facilitation, stakeholder management, and cross-functional communication skills
Experience partnering with Product, Architecture, Engineering, or operational leadership teams
Strong ability to translate complex operational processes into actionable requirements and implementation-ready documentation

Nice To Haves

Experience with BPMN or process modeling tools
Lean / Six Sigma or continuous improvement experience
Exposure to process mining, task mining, or operational analytics
Experience supporting enterprise AI transformation or operational modernization initiatives

Responsibilities

Lead process discovery workshops and stakeholder engagements across complex operational environments
Analyze workflows, dependencies, pain points, and decision-making patterns across business processes
Design future-state workflows that incorporate AI-assisted operations, intelligent decisioning, and scalable automation capabilities
Evaluate where AI is appropriate within a workflow versus where rules-based automation or human oversight is required
Define operational workflows including: Human-in-the-loop decision points, Exception handling, Escalation paths, Operational controls and governance, Workflow logic and dependencies
Translate process insights into implementation-ready artifacts for Product, Architecture, and Engineering teams
Help establish operational KPIs, workflow success measures, and continuous improvement processes
Support organizational adoption and change management efforts tied to AI-enabled operational transformation