Senior Manager, Enterprise AI UX Design

📍 Job Overview

Job Title: Senior Manager, Enterprise AI UX Design

Company: AECOM

Location: Dallas, Texas, United States

Job Type: Full-time

Category: User Experience (UX) Design / Product Strategy / AI Governance

Date Posted: May 21, 2026

Experience Level: 10+ Years

Remote Status: Hybrid

🚀 Role Summary

• Lead the definition and implementation of enterprise-wide AI UX design standards and frameworks to ensure consistent, intuitive, and trusted human-AI interactions across all AI solutions.

• Drive product strategy and experience architecture for AI assistants, operational AI, applied AI, and agentic AI, focusing on seamless integration into existing workflows.

• Establish robust governance models for AI experience design, focusing on principles of transparency, user control, explainability, and responsible AI.

• Collaborate cross-functionally with Product Management, Design, Engineering, and the AI Transformation Office to operationalize AI UX best practices and scale adoption.

📝 Enhancement Note: This role is positioned at a senior management level, requiring significant strategic influence and the ability to establish foundational principles for AI user experiences within a large enterprise. The emphasis on "scale," "standards," and "governance" indicates a need for a candidate who can think systemically and drive organizational change in the rapidly evolving field of enterprise AI.

📈 Primary Responsibilities

• Define, develop, and govern enterprise-wide Human-AI interaction principles, ensuring consistency across AI Assistants, Operational AI & Automation, Applied/Domain AI, and Agentic AI solutions.

• Create scalable frameworks, reusable patterns, and best practices for interaction design, collaboration models, and cross-product AI experiences to reduce cognitive load and enhance user adoption.

• Lead the definition of Human-AI collaboration models, including supervision, approval, delegation, escalation, and human-in-the-loop workflows, ensuring seamless handoffs and clear task ownership.

• Establish and enforce standards for AI explainability, autonomy signaling, user control, and responsible decision-making, ensuring users understand AI operations and intervention points.

• Influence product strategy and roadmap development by advising Product, Design, and Engineering leadership on AI experience design alignment with enterprise standards and industry trends.

• Define key metrics for AI experience adoption and effectiveness, identifying friction points and continuously evolving standards based on user feedback and operational data.

• Develop and disseminate playbooks, frameworks, and governance mechanisms to drive consistent adoption of AI UX standards across distributed product teams.

• Translate emerging AI interaction concepts and industry trends into practical, actionable enterprise standards and guidance for "UI for AI."

📝 Enhancement Note: The responsibilities highlight a strategic, leadership-oriented role focused on establishing foundational principles and scalable solutions for AI user experiences within a large enterprise. The emphasis on "governance," "standards," and "cross-product experiences" suggests a need for strong systems thinking and the ability to influence without direct authority across multiple product teams.

🎓 Skills & Qualifications

Education: Bachelor's Degree required; advanced degrees in relevant fields are a plus.

Experience:

• Minimum 10 years of experience in product management, UX strategy, enterprise platform design, digital experience architecture, or a related field.

• At least 2 years of experience in a leadership role, driving cross-functional strategy through influence and governance.

Required Skills:

• AI UX Strategy & Design: Deep understanding of AI-enabled product experiences, including conversational AI, workflow automation, analytics-driven interfaces, and emerging agentic systems.

• Enterprise-Level Frameworks: Proven ability to translate ambiguity into scalable frameworks, decision models, and reusable design patterns adopted across multiple products or platforms.

• Human-AI Interaction: Expertise in designing and governing human-AI interaction models, collaboration patterns (supervision, delegation, human-in-the-loop), and user control mechanisms.

• Product Strategy & Governance: Strong product strategy skills with experience in establishing governance models, balancing consistency with innovation, and aligning design with business objectives.

• Executive Communication & Influence: Excellent executive-level communication, presentation, and interpersonal skills with a proven ability to influence senior leaders and guide distributed product teams.

• Systems Thinking: Strong capability to design and think across products and systems rather than within a single application, understanding interdependencies and holistic user journeys.

Preferred Skills:

• Experience designing or governing Human-AI interaction models within a large enterprise or complex organizational structure.

• Familiarity with enterprise AI governance, responsible AI principles, and trust-centered experience design methodologies.

• Experience in workflow systems, productivity tools, operational platforms, or enterprise knowledge systems.

• Knowledge of industry trends in agentic AI, AI copilots, enterprise automation, and digital employee experience (DEX).

• Experience building adopted design patterns, playbooks, or review frameworks.

📝 Enhancement Note: The "Minimum Qualifications" emphasize a blend of strategic leadership and practical experience in defining enterprise-wide standards, particularly within digital product environments. The "Preferred Qualifications" point towards candidates with direct experience in AI governance, responsible AI, and specific types of enterprise systems, suggesting a focus on mature AI product development and deployment.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Enterprise Standards & Frameworks: Showcase examples of how you have defined, documented, and implemented enterprise-wide design standards, frameworks, or operating models for digital products or platforms.

• Human-AI Interaction Design: Include case studies demonstrating your approach to designing intuitive and trusted human-AI interactions, highlighting specific challenges related to AI explainability, user control, or collaboration models.

• Scalable Design Systems/Patterns: Present examples of reusable design patterns, component libraries, or architectural frameworks that have been adopted across multiple products or teams, emphasizing their scalability and impact on consistency.

• Process Improvement & Governance: Demonstrate experience in establishing governance processes, review mechanisms, or adoption playbooks for design initiatives, illustrating how you ensure adherence to standards and drive continuous improvement.

Process Documentation:

• Workflow Integration: Document how you've designed AI experiences to seamlessly integrate into existing enterprise workflows, minimizing friction and maximizing user efficiency.

• Governance Frameworks: Illustrate the structure and implementation of governance frameworks you've developed to ensure responsible AI design, ethical considerations, and adherence to established principles.

• Metrics & Adoption Tracking: Provide examples of how you define, track, and report on key metrics related to AI experience adoption, user satisfaction, and operational effectiveness.

📝 Enhancement Note: For this senior role, the portfolio should emphasize strategic impact and the ability to drive organizational change. Candidates should be prepared to demonstrate not just design execution, but also the strategic thinking behind establishing enterprise-level standards and governance for AI UX. The focus is on scalable solutions and measurable impact across multiple products.

💵 Compensation & Benefits

Salary Range: $170,000 - $210,000 USD per year

Benefits:

• Comprehensive Health: Medical, Dental, and Vision insurance plans.

• Life & Disability: Life Insurance, Accidental Death & Dismemberment (AD&D), and Disability Benefits.

• Time Off & Leave: Generous Paid Time Off (PTO) and various Leaves of Absences.

• Financial Security: Retirement Savings Plan and Employee Stock Purchase Plan (ESPP).

• Employee Well-being: Well-being Resources, Employee Assistance Program (EAP), and Perks.

• Professional Development: Service Recognition Awards and opportunities for growth.

• Flexibility: Flexible Work Options and potential for hybrid arrangements.

• Additional: Voluntary Benefits and Business Travel Insurance.

Working Hours: Standard full-time hours, likely around 40 hours per week, with flexibility offered through hybrid work arrangements.

📝 Enhancement Note: The provided salary range is competitive for a Senior Manager role in a major metropolitan area like Dallas, especially for a specialized and high-demand field like Enterprise AI UX Design. The extensive list of benefits indicates a robust total compensation package, typical of large, established corporations like AECOM.

Timatic & Company Context

🏢 Company Culture

Industry: Infrastructure Consulting (Global Leader)

Company Size: Over 50,000 employees globally.

Founded: Information not directly provided, but AECOM is a significant, established global firm with a long history in infrastructure.

Team Structure:

• This role likely sits within a central AI Transformation Office, a dedicated UX/Design function, or a senior Product Management/Strategy team focused on enterprise platforms.

• The reporting structure will involve a senior leadership role (e.g., VP of Product, Chief Digital Officer, Head of AI) and requires close collaboration with Product Leaders, Product Managers, UX Designers, and Engineering teams across various business units.

Methodology:

• AECOM likely employs a data-driven approach to infrastructure projects and digital transformation. For this role, data analysis will be crucial for understanding user behavior with AI tools, measuring adoption, and identifying areas for improvement.

• Workflow planning and optimization strategies will be core to defining how employees interact with AI across various enterprise systems.

• Automation and efficiency practices will be central to the AI solutions being designed and governed.

Company Website: https://www.aecom.com/

📝 Enhancement Note: AECOM's positioning as a global infrastructure leader suggests a culture that values large-scale impact, technical expertise, and long-term vision. For an AI UX role, this translates to a need for strategic thinking, robust process development, and an understanding of how technology can drive efficiency and innovation within complex, established organizations. The company's commitment to "delivering a better world" implies a focus on impactful, sustainable solutions.

📈 Career & Growth Analysis

Operations Career Level: Senior Manager, Enterprise AI UX Design. This is a leadership role focused on setting strategic direction and establishing foundational principles for AI user experiences at an enterprise level. It requires significant influence and the ability to drive organizational change.

Reporting Structure: Likely reports to a Director or VP level executive within a central digital transformation, AI, or product strategy group. Will work closely with various Product Managers, UX Designers, and Engineering leads across different business units.

Operations Impact: This role has a direct and significant impact on the operational efficiency, employee productivity, and overall digital transformation success of AECOM. By shaping how employees interact with AI, it influences everything from project delivery workflows to internal decision-making processes, ultimately contributing to the company's ability to "deliver a better world" through improved services and operational excellence.

Growth Opportunities:

• Leadership Advancement: Potential to grow into Director or VP-level roles in AI Product Strategy, Digital Transformation, or User Experience leadership within AECOM.

• Specialization Deepening: Opportunity to become a recognized expert in enterprise AI UX design and responsible AI practices, potentially leading larger teams or broader initiatives.

• Cross-Functional Leadership: Develop expertise in driving change across diverse business units and technical disciplines, honing skills in influencing and strategic partnership.

• Industry Thought Leadership: Contribute to shaping the future of AI UX in the infrastructure sector, potentially through publications, conferences, or internal best practice sharing.

📝 Enhancement Note: This role offers a significant opportunity for career growth, moving beyond individual contribution to strategic organizational leadership. The focus on a nascent but critical field like Enterprise AI UX positions the candidate for high-impact work and future leadership opportunities within a global organization.

🌐 Work Environment

Office Type: Hybrid work model, allowing for a combination of in-office presence and remote work. The primary office location is Dallas, TX, with an option for hybrid work.

Office Location(s):

• Primary: 13355 Noel Road, Dallas, TX.

• Potential for hybrid work to include both in-office and telecommute/virtual work.

Workspace Context:

• The hybrid model suggests a flexible and modern work environment designed to support collaboration and individual productivity.

• As a large, global firm, AECOM likely provides access to robust technology infrastructure, collaboration tools, and a network of subject matter experts.

• Opportunities for interaction with a diverse team of designers, product managers, engineers, and AI specialists, fostering a collaborative and knowledge-sharing environment.

Work Schedule: Standard full-time work hours (approximately 40 hours/week) are expected, with flexibility offered through the hybrid arrangement. This allows for structured work on AI standards and governance while accommodating personal needs.

📝 Enhancement Note: The hybrid work arrangement is a key aspect of the work environment, indicating AECOM's commitment to work-life balance and modern employment practices. This flexibility is particularly beneficial for roles requiring deep focus and strategic thinking, such as AI UX design.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: HR or Recruiter call to assess basic qualifications, interest, and cultural fit.

• Hiring Manager Interview: In-depth discussion with the hiring manager focusing on experience, strategic thinking, leadership capabilities, and understanding of AI UX principles.

• Portfolio Review & Presentation: Candidates will likely be asked to present a curated portfolio showcasing relevant work, with a focus on enterprise standards, AI interaction design, and strategic impact. This may involve a presentation and Q&A session.

• Cross-Functional Interviews: Meetings with key stakeholders, potentially including Product Leads, UX Designers, Engineering Managers, and members of the AI Transformation Office, to assess collaboration skills and subject matter expertise.

• Final Interview: May involve senior leadership to discuss overall fit, strategic vision, and long-term contributions.

Portfolio Review Tips:

• Focus on Impact: Highlight how your work has driven tangible business outcomes, improved user adoption, or established effective standards for AI experiences.

• Showcase Strategic Thinking: Emphasize your process for defining enterprise-wide standards, frameworks, and governance models, not just individual design solutions.

• Demonstrate AI Fluency: Include examples of how you've approached AI-specific challenges like explainability, user control, and human-AI collaboration.

• Structure for Clarity: Organize your portfolio logically, perhaps by project type or by demonstrating mastery of key responsibilities outlined in the job description. Use clear narratives to explain the problem, your approach, and the results.

• Highlight Scalability: Provide evidence of how your designs and frameworks are scalable and adaptable to various AI solutions and organizational needs.

Challenge Preparation:

• Scenario-Based Questions: Be prepared for questions asking how you would approach defining AI UX standards for a new type of AI assistant or how you would resolve conflicts between product teams regarding AI design consistency.

• Strategic Problem-Solving: Practice articulating your approach to complex problems, such as balancing user needs with enterprise governance or driving adoption of new AI interaction paradigms.

• Stakeholder Management: Prepare examples of how you have successfully influenced senior leaders and collaborated with diverse teams to achieve strategic objectives in design or technology initiatives.

📝 Enhancement Note: The interview process for this senior role will likely be rigorous, focusing heavily on strategic thinking, leadership, and the ability to articulate complex concepts clearly. A well-prepared, compelling portfolio is crucial for demonstrating the required expertise in enterprise AI UX design and governance.

🛠 Tools & Technology Stack

Primary Tools:

• UX/Design Software: Figma, Sketch, Adobe Creative Suite, or similar for wireframing, prototyping, and visual design.

• Collaboration Platforms: Microsoft Teams, Slack, Jira, Confluence for team communication, project management, and documentation.

• Presentation Software: PowerPoint, Google Slides for executive presentations and stakeholder updates.

Analytics & Reporting:

• Analytics Tools: Tools for tracking user behavior and adoption of digital products (e.g., Google Analytics, Adobe Analytics, Pendo, Amplitude) will be essential for measuring AI experience effectiveness.

• Dashboarding Tools: Tableau, Power BI, or similar for creating executive dashboards to visualize AI adoption metrics and user feedback.

CRM & Automation:

• While not a direct CRM management role, understanding how AI integrates with enterprise systems like Salesforce or other CRMs will be beneficial.

• Familiarity with workflow automation tools and principles will be key, as the role focuses on integrating AI into operational workflows.

• AI Platforms: Exposure to or understanding of enterprise AI platforms, machine learning frameworks, and AI development lifecycles is highly advantageous.

📝 Enhancement Note: The technology stack emphasizes tools for design, collaboration, presentation, and analytics, all critical for a senior UX leader. The mention of AI platforms and workflow automation highlights the specialized nature of this role within the broader technology landscape.

👥 Team Culture & Values

Operations Values:

• Impact-Driven: A strong emphasis on delivering tangible results and contributing to AECOM's mission of "delivering a better world." This translates to focusing on AI solutions that enhance efficiency, safety, and sustainability in infrastructure.

• Collaboration & Teamwork: Fostering an environment where diverse teams (Design, Product, Engineering, AI) work together effectively to achieve common goals.

• Innovation & Continuous Improvement: Encouraging the exploration of new AI technologies and methodologies, with a commitment to evolving standards and practices.

• Integrity & Responsibility: Upholding ethical standards, particularly in the development and deployment of AI, with a focus on trust, transparency, and responsible innovation.

• Excellence: Striving for high quality in all aspects of work, from strategy definition to the execution of AI UX standards.

Collaboration Style:

• Cross-Functional Integration: Actively partnering with various departments to ensure AI UX strategies are aligned with broader business objectives and technical capabilities.

• Process-Oriented: A culture that values well-defined processes, clear documentation, and structured approaches to problem-solving and decision-making, especially in the context of governance.

• Knowledge Sharing: Encouraging the dissemination of best practices, learnings, and insights across teams to foster collective growth and maintain consistency in AI experience design.

📝 Enhancement Note: AECOM's culture, as reflected in its mission and emphasis on collaboration, suggests a workplace that values both large-scale impact and strong professional practices. For this AI UX role, it means a need to align personal values with those of driving innovation responsibly and collaboratively within a global organization.

⚡ Challenges & Growth Opportunities

Challenges:

• Pace of AI Evolution: Keeping up with the rapid advancements in AI technology and ensuring that enterprise standards remain relevant and adaptable.

• Organizational Alignment: Gaining buy-in and ensuring consistent adoption of AI UX standards across a large, distributed organization with diverse needs and priorities.

• Balancing Standardization and Innovation: Establishing clear guidelines without stifling creativity or the ability of individual product teams to innovate with AI.

• Measuring AI Impact: Developing effective metrics and methodologies to quantify the benefits of AI UX design and demonstrate ROI to stakeholders.

• Building Trust in AI: Addressing user concerns about AI's reliability, transparency, and ethical implications through thoughtful UX design and clear communication.

Learning & Development Opportunities:

• AI & Emerging Tech: Access to training and resources on the latest AI technologies, machine learning models, and human-AI interaction paradigms.

• Leadership & Strategy: Opportunities to develop advanced leadership, strategic planning, and enterprise-wide change management skills.

• Industry Conferences & Certifications: Potential to attend leading AI, UX, and digital transformation conferences and pursue relevant professional certifications.

• Mentorship: Access to senior leaders within AECOM who can provide guidance on career progression and strategic development.

📝 Enhancement Note: This role is at the forefront of enterprise AI adoption, presenting both significant challenges and substantial growth opportunities. Success will depend on the ability to navigate complexity, drive change, and stay ahead of technological advancements.

💡 Interview Preparation

Strategy Questions:

• "How would you approach defining enterprise-wide AI UX standards for a company like AECOM, considering our diverse range of projects and services?" (Preparation: Focus on your framework for establishing standards, stakeholder engagement, and iterative development.)

• "Describe a situation where you had to influence senior leadership to adopt a new design principle or framework. What was your strategy, and what was the outcome?" (Preparation: Use the STAR method to detail your approach to executive communication and change management.)

Company & Culture Questions:

• "What excites you about AECOM's mission to 'deliver a better world,' and how do you see enterprise AI UX contributing to that mission?" (Preparation: Research AECOM's current projects and values; connect AI's potential to infrastructure improvement, sustainability, or efficiency.)

• "How do you envision the role of AI UX design evolving within a large, established engineering and consulting firm like AECOM?" (Preparation: Discuss industry trends, potential applications of AI in infrastructure, and the importance of user-centricity in technical domains.)

Portfolio Presentation Strategy:

• Narrative Arc: Structure your presentation with a clear beginning (problem/objective), middle (your strategic approach, design process, and solutions), and end (impact, results, and lessons learned).

• Focus on "Why" and "How": For each case study, clearly articulate the strategic rationale behind your decisions and the specific methodologies you employed, especially for enterprise-level challenges.

• Quantify Impact: Whenever possible, use data and metrics to demonstrate the success of your initiatives, such as improvements in user adoption, efficiency gains, or reduction in errors.

• Showcase Leadership: Highlight instances where you led teams, influenced stakeholders, or established processes that had a broader organizational impact.

• AI Specificity: Ensure your examples clearly demonstrate your understanding of AI-specific UX challenges and solutions, such as explainability, trust, and human-AI collaboration.

📝 Enhancement Note: Interview preparation for this role should focus on demonstrating strategic leadership, deep understanding of AI UX principles, and the ability to drive organizational change. Candidates should be ready to articulate their thought process and strategic vision, not just their design execution.

📌 Application Steps

To apply for this operations position:

• Submit your application through the AECOM careers portal via the provided link.

• Portfolio Customization: Curate your portfolio to prominently feature examples of enterprise-wide standards, AI UX design frameworks, and successful cross-functional collaborations. Prioritize case studies that demonstrate scalability and strategic impact.

• Resume Optimization: Tailor your resume to highlight leadership experience, AI UX strategy, enterprise platform design, and your ability to define and govern scalable solutions. Use keywords from the job description such as "Enterprise AI," "UX Design," "Human-AI Collaboration," and "Governance."

• Interview Preparation: Practice articulating your strategic approach to AI UX challenges, preparing specific examples using the STAR method for behavioral questions, and rehearsing your portfolio presentation to clearly convey your impact and leadership capabilities.

• Company Research: Thoroughly research AECOM's mission, values, current projects, and their stated commitment to digital transformation and AI. Understand how your role contributes to their overall business objectives in delivering infrastructure solutions.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and operations industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.