Senior Manager, Enterprise AI UX Design

AECOM • Dallas, TX

1d • $170,000 - $210,000 • Hybrid

About The Position

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.

Requirements

• Bachelor's Degree plus at least 10 years of product management, UX strategy, enterprise platform design, digital experience architecture, experience, including 2 years of leadership experience driving cross-functional strategy through influence and governance, or demonstrated equivalent experience and education.
• Demonstrated experience defining enterprise-wide standards, frameworks, or operating models across multiple products or platforms.
• Strong understanding of AI-enabled product experiences, including conversational AI, workflow automation, analytics-driven interfaces, and emerging agentic systems.
• Experience partnering across Product, Design, Engineering, Operations, and transformation or governance organizations.
• Proven ability to translate ambiguity into scalable frameworks, decision models, and reusable patterns.
• Strong executive communication skills, with the ability to influence senior leaders and guide distributed product teams.

Nice To Haves

• Experience designing or governing Human-AI interaction models in a large enterprise environment.
• Familiarity with enterprise AI governance, responsible AI, and trust-centered experience design.
• Experience in workflow systems, productivity tools, operational platforms, or enterprise knowledge systems.
• Strong systems-thinking capability with the ability to design across products rather than within a single application.
• Experience building design patterns, playbooks, or review frameworks adopted across multiple teams.
• Knowledge of industry trends in agentic AI, AI copilots, enterprise automation, and digital employee experience.

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

Benefits

• AECOM benefits may include medical, dental, vision, life, AD&D, disability benefits, paid time off, leaves of absences, voluntary benefits, perks, flexible work options, well-being resources, employee assistance program, business travel insurance, service recognition awards, retirement savings plan, and employee stock purchase plan.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager
• Number of Employees: 5,001-10,000 employees