Senior Manager, Enterprise AI UX Design

Company Description

Work with Us. Change the World.

At AECOM, we're delivering a better world. Whether improving your commute, keeping the lights on, providing access to clean water, or transforming skylines, our work helps people and communities thrive. We are the world's trusted infrastructure consulting firm, partnering with clients to solve the world’s most complex challenges and build legacies for future generations.

There has never been a better time to be at AECOM. With accelerating infrastructure investment worldwide, our services are in great demand. We invite you to bring your bold ideas and big dreams and become part of a global team of over 50,000 planners, designers, engineers, scientists, digital innovators, program and construction managers and other professionals delivering projects that create a positive and tangible impact around the world.

We're one global team driven by our common purpose to deliver a better world. Join us.

Job Description

We are seeking a Senior Manager, Enterprise AI UX Design to define and scale how employees interact with AI across the enterprise. This leader will establish the standards, frameworks, and reusable patterns that shape a unified experience across AI Assistants, Operational AI & Automation, Applied/Domain AI, and Agentic AI solutions.

This role is responsible for ensuring that Human-AI interactions are intuitive, trusted, low-friction, and consistent across products and workflows. The Senior Manager will create enterprise-wide standards for interaction design, collaboration patterns, transparency, user control, and cross-product AI experiences, while partnering closely with Product Leaders, Product Managers, Design, Engineering, and the AI Transformation Office.

The ideal candidate brings a strong mix of product strategy, UX leadership, systems thinking, enterprise transformation, and AI fluency, with the ability to influence across organizations and turn emerging AI interaction concepts into practical enterprise standards.

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.

Key Responsibilities

Define Enterprise AI Experience Standards

• Establish and govern enterprise-wide Human–AI interaction principles across all AI solutions
• Create scalable frameworks and reusable patterns that ensure consistency and reduce cognitive load
• Ensure standards are practical, adaptable, and evolve with advancing AI capabilities

Lead Interaction Design & Experience Architecture

• Define frameworks for selecting the right interaction modality (conversational, embedded, automated, agentic)
• Guide Product and Design teams on applying interaction models based on user needs, workflow complexity, and risk
• Drive low-friction, workflow-integrated experiences using usability insights and adoption data

Drive Human–AI Collaboration Models

• Define patterns for human–AI collaboration, including supervision, approval, delegation, escalation, and human-in-the-loop workflows
• Enable seamless cross-product experiences and workflow handoffs between users and AI systems
• Standardize visibility into tasks, ownership, workflow state, and system performance

Establish Trust, Transparency & Control

• Set standards for explainability, autonomy signaling, and user control
• Ensure users understand how AI is operating (assist, recommend, automate, act) and when intervention is required
• Define patterns for approvals, overrides, escalation, and responsible decision-making
• Continuously refine trust and control models based on user behavior and operational feedback

Influence Product Strategy & Governance

• Advise Product, Design, and Engineering leaders on AI experience design and alignment to enterprise standards
• Balance consistency and governance with product flexibility and innovation
• Translate industry trends and internal learnings into actionable frameworks and guidance
• Help shape the enterprise approach to “UI for AI” across systems and workflows

Measure, Evolve & Scale Adoption

• Define and track metrics to evaluate adoption and effectiveness of AI experience standards
• Identify friction points, inconsistencies, and trust gaps across AI-enabled experiences
• Evolve standards through continuous feedback, insights, and best practices
• Build playbooks, frameworks, and governance mechanisms to drive consistent adoption

Qualifications

Minimum Qualifications

• Bac