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 / Artificial Intelligence (AI) Strategy

Date Posted: March 30, 2026

Experience Level: 10+ Years

Remote Status: Hybrid

🚀 Role Summary

• Lead the definition and scaling of enterprise-wide employee interactions with Artificial Intelligence (AI) solutions, establishing critical standards and frameworks.

• Drive the creation of intuitive, trusted, and low-friction Human-AI experiences across AI Assistants, Operational AI & Automation, Applied/Domain AI, and Agentic AI.

• Develop and govern enterprise-wide standards for interaction design, collaboration patterns, transparency, and user control to ensure a unified AI experience.

• Partner closely with Product Leaders, Product Managers, Design, Engineering, and the AI Transformation Office to implement AI UX strategies effectively.

📝 Enhancement Note: This role is highly strategic, focusing on establishing foundational UX principles and governance for AI integration across a large enterprise. It requires a blend of UX leadership, product strategy, and a deep understanding of AI capabilities and their application in a business context. The emphasis is on creating scalable, repeatable patterns rather than individual product design.

📈 Primary Responsibilities

• Establish and govern enterprise-wide Human-AI interaction principles and guidelines across all AI solutions to ensure consistency and reduce cognitive load for employees.

• Create scalable frameworks and reusable design patterns for AI experiences, ensuring they are practical, adaptable, and evolve with advancing AI capabilities.

• Define interaction models and frameworks for selecting the appropriate modality (e.g., conversational, embedded, automated, agentic) based on user needs, workflow complexity, and risk.

• Guide Product and Design teams on applying interaction models and drive low-friction, workflow-integrated experiences using usability insights and adoption data.

• Define and standardize patterns for human-AI collaboration, including supervision, approval, delegation, escalation, and human-in-the-loop workflows to enable seamless cross-product experiences.

• Set enterprise standards for AI explainability, autonomy signaling, and user control, ensuring users understand AI operations and when intervention is needed.

• Advise Product, Design, and Engineering leaders on AI experience design alignment with enterprise standards, balancing consistency with product flexibility and innovation.

• Define and track key metrics to evaluate the adoption and effectiveness of AI experience standards, identifying friction points and trust gaps.

• Build playbooks, frameworks, and governance mechanisms to drive consistent adoption of AI UX standards across the organization.

• Translate industry trends and internal learnings into actionable frameworks and guidance for the enterprise approach to "UI for AI."

📝 Enhancement Note: The responsibilities highlight a strong emphasis on governance, strategy, and scalable design systems. The role requires influencing cross-functional teams and establishing a consistent AI user experience across a diverse range of AI applications within a large enterprise. The focus on "UI for AI" indicates a forward-looking approach to designing user interfaces for emerging AI technologies.

🎓 Skills & Qualifications

Education: Bachelor's Degree in a relevant field (e.g., HCI, Computer Science, Design, Psychology, or related).

Experience: A minimum of 10 years in product management, UX strategy, enterprise platform design, digital experience architecture, or a related field, with at least 2 years in a leadership capacity driving cross-functional strategy through influence and governance.

Required Skills:

• Demonstrated experience in defining and implementing 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.

• Proven ability to translate ambiguity into scalable frameworks, decision models, and reusable design patterns.

• Experience partnering effectively across Product, Design, Engineering, Operations, and transformation or governance organizations.

• Strong executive communication and presentation skills, with a proven ability to influence senior leaders and guide distributed product teams.

• Systems thinking capability with the ability to design across products rather than within a single application.

Preferred Skills:

• Experience designing or governing Human-AI interaction models within a large enterprise environment.

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

• 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.

• Understanding of AI ethics, bias mitigation, and the implications of AI on user behavior and trust.

📝 Enhancement Note: The qualifications emphasize strategic leadership and the ability to operate at an enterprise level. The distinction between required and preferred skills suggests that while core experience in enterprise standards and AI product understanding is essential, specific experience with AI governance and broader enterprise systems will be advantageous. The explicit mention of "systems thinking capability" underscores the need for a holistic approach to AI integration.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Demonstrate a track record of defining and implementing enterprise-wide standards, frameworks, or operating models for technology or user experience initiatives.

• Include case studies showcasing the development of scalable frameworks or reusable design patterns that have been adopted across multiple products or platforms.

• Highlight experience in designing or influencing Human-AI interaction models, detailing the challenges, solutions, and outcomes.

• Showcase examples of driving cross-functional strategy through influence and governance, illustrating how you aligned disparate teams towards a common goal.

Process Documentation:

• Document the process of establishing AI experience standards, including stakeholder engagement, research methods, and governance mechanisms.

• Illustrate the methodology used for creating reusable design patterns and interaction models for AI-driven workflows.

• Detail how you measured the adoption and effectiveness of implemented standards, including key metrics and feedback loops.

• Showcase experience in developing playbooks or guidance materials to facilitate the consistent adoption of design principles across teams.

📝 Enhancement Note: For this role, a portfolio is crucial for demonstrating strategic influence and the ability to create scalable design systems. Emphasis should be placed on projects where the candidate defined overarching principles, frameworks, or governance structures that impacted multiple products or teams, particularly in the context of complex technology adoption. Demonstrating a structured approach to creating and implementing enterprise-wide standards is key.

💵 Compensation & Benefits

Salary Range: The provided salary range for this position is USD 170,000 - 210,000 annually.

Benefits:

• Comprehensive medical, dental, and vision insurance plans.

• Life and Accidental Death & Dismemberment (AD&D) insurance.

• Disability benefits (short-term and long-term).

• Generous Paid Time Off (PTO) and various leaves of absence options.

• Access to voluntary benefits, including additional insurance options and employee perks.

• Flexible work options and well-being resources to support work-life balance.

• Employee Assistance Program (EAP) for confidential support.

• Business travel insurance for work-related travel.

• Service recognition awards to acknowledge employee contributions.

• Retirement savings plan (e.g., 401k) with potential company match.

• Employee Stock Purchase Plan (ESPP) allowing employees to buy company stock.

Working Hours: Standard full-time work week, typically 40 hours per week, with flexibility offered through a hybrid work schedule.

📝 Enhancement Note: The salary range is competitive for a Senior Manager role with significant strategic responsibility in a major metropolitan area like Dallas. The extensive benefits package reflects AECOM's commitment to employee well-being and long-term engagement, offering a robust suite of traditional and modern benefits. The hybrid work model provides an important element of flexibility.

🎯 Team & Company Context

🏢 Company Culture

Industry: AECOM operates in the Infrastructure Consulting sector, a B2B and B2G industry focused on planning, designing, engineering, and managing infrastructure projects globally. This involves a wide range of services from transportation and water to energy and buildings.

Company Size: AECOM is a Fortune 500 firm with over 50,000 employees globally, indicating a large, complex organizational structure with diverse business units and global reach.

Founded: AECOM was founded prior to 2025, with revenue reported for fiscal year 2025, signifying a well-established company with a long history and significant market presence.

Team Structure:

• The Senior Manager, Enterprise AI UX Design will likely be part of a central Corporate or Digital Transformation/Innovation group, focusing on enterprise-wide capabilities rather than a specific product line.

• This role involves significant cross-functional collaboration with Product Management, Design, Engineering, IT, and a dedicated AI Transformation Office, requiring strong influencing skills within a matrixed organization.

Methodology:

• AECOM's approach to AI UX will likely involve a blend of user-centered design principles, data-driven insights, and enterprise-level governance to ensure scalability and consistency.

• The role emphasizes establishing standards, frameworks, and reusable patterns, suggesting a methodology focused on creating a design system or operating model for AI interactions.

• Collaboration with the AI Transformation Office indicates a structured approach to AI adoption and integration across the enterprise.

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

📝 Enhancement Note: AECOM's scale as a Fortune 500 company means this role operates within a complex, global organization. The "AI Transformation Office" suggests a dedicated focus on leveraging AI strategically, and the Senior Manager will be instrumental in shaping the user experience aspect of this transformation. The company's mission to "deliver a better world" implies a focus on impactful, sustainable solutions.

📈 Career & Growth Analysis

Operations Career Level: This is a Senior Managerial role, signifying a mid-to-senior level position with significant strategic responsibility and leadership influence. It sits above individual contributor UX designers or product managers and below executive leadership, focusing on setting direction and governance for a critical, emerging area within the enterprise. The role requires strategic thinking, cross-functional leadership, and the ability to drive change through influence.

Reporting Structure: The position reports into a leadership role within a Corporate function, likely a VP or Director of UX Design, Digital Strategy, or Enterprise Platforms. This structure allows for enterprise-wide mandate and oversight, distinct from product-specific reporting lines.

Operations Impact: The Senior Manager will directly impact AECOM's operational efficiency and employee productivity by streamlining how employees interact with AI tools. By establishing consistent, intuitive AI experiences, the role aims to increase AI adoption, reduce training overhead, and foster a culture of innovation driven by AI. This role is critical for realizing the full potential of AI investments across the organization.

Growth Opportunities:

• Specialization Advancement: Deepen expertise in AI UX, responsible AI, and enterprise design systems, potentially leading to a Director-level role focused on AI strategy or Digital Employee Experience.

• Leadership Expansion: Grow into a Director or VP role overseeing larger design or digital transformation teams, with broader scope and budget responsibility.

• Cross-Functional Leadership: Transition into roles focused on enterprise product strategy, digital transformation leadership, or AI governance, leveraging a strong understanding of AI's impact on business operations.

• Industry Influence: Become a recognized expert in Enterprise AI UX through speaking engagements, publications, or contributions to industry standards.

📝 Enhancement Note: This role offers a significant opportunity to shape the future of AI interaction within a large, established company. The growth potential is substantial, particularly for individuals who can effectively bridge the gap between cutting-edge AI capabilities and practical enterprise application, driving tangible improvements in operational efficiency and employee experience.

🌐 Work Environment

Office Type: AECOM offers a hybrid work model, implying a blend of in-office collaboration and remote work. The office environment is likely designed to support collaboration, innovation, and team cohesion, with modern amenities and technology.

Office Location(s): This position is based in Dallas, Texas, specifically at 13355 Noel Road. The hybrid arrangement means employees are expected to be in the office a portion of the week, with the exact schedule to be determined.

Workspace Context:

• The workspace will foster collaboration, encouraging interaction with design, product, and engineering teams, as well as members of the AI Transformation Office.

• Access to relevant design and collaboration tools will be provided, supporting the creation and dissemination of enterprise AI UX standards and patterns.

• Opportunities for interaction with a global team are inherent in AECOM's structure, allowing for exposure to diverse perspectives and projects.

Work Schedule: A standard 40-hour work week is expected, with the hybrid model offering flexibility in terms of where the work is performed. This allows operations professionals to balance project demands with personal needs, while ensuring critical in-person collaboration occurs.

📝 Enhancement Note: The hybrid work environment at AECOM's Dallas office provides a balance between structured collaboration and individual flexibility. For an operations-focused role like this, the ability to work from home part-time can be beneficial for deep work and analysis, while in-office days are crucial for strategic alignment and cross-functional team engagement.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A recruiter will likely conduct an initial phone screen to assess basic qualifications, experience, and cultural fit.

• Hiring Manager Interview: A conversation with the direct hiring manager to delve deeper into experience, leadership style, and strategic thinking related to enterprise AI UX.

• Portfolio Review & Presentation: Candidates will be asked to present their portfolio, focusing on relevant case studies demonstrating their ability to define enterprise-level standards, frameworks, and influence cross-functional teams. This is a critical stage for showcasing strategic impact and scalable design thinking.

• Cross-Functional Interviews: Interviews with key stakeholders from Product, Design, Engineering, and the AI Transformation Office to assess collaboration skills, understanding of technical constraints, and ability to integrate AI UX standards into product development lifecycles.

• Executive Interview: A final interview with a senior leader (e.g., VP or Director) to confirm strategic alignment, leadership potential, and overall fit with AECOM's vision.

Portfolio Review Tips:

• Focus on Enterprise Impact: Select case studies that highlight your experience in defining and implementing standards, frameworks, or operating models that had a broad impact across an organization.

• Showcase Strategic Thinking: Clearly articulate the problem, your strategic approach, the frameworks or patterns you developed, the challenges of adoption, and the measurable outcomes.

• Highlight Human-AI Interaction: Include examples that specifically address designing for AI, including explainability, trust, control, and collaboration models.

• Demonstrate Influence: Be prepared to discuss how you influenced cross-functional teams and senior leadership to adopt your proposed standards and strategies.

• Quantify Results: Wherever possible, use data and metrics to demonstrate the effectiveness of your work, such as improved adoption rates, reduced friction, or enhanced employee productivity.

Challenge Preparation:

• Be ready to discuss hypothetical scenarios related to establishing AI UX standards in a large enterprise, including how you would gain buy-in, address resistance, and measure success.

• Prepare to articulate your vision for the future of employee AI interaction at AECOM and how your role would contribute to that vision.

• Familiarize yourself with AECOM's business and its current digital initiatives to tailor your responses and demonstrate a strong understanding of the company's context.

📝 Enhancement Note: The interview process heavily emphasizes strategic thinking, influence, and the ability to create scalable design solutions for complex enterprise challenges. The portfolio review is a pivotal element, requiring candidates to present concrete examples of their strategic impact and leadership in defining enterprise-wide standards, particularly for AI-driven experiences.

🛠 Tools & Technology Stack

Primary Tools:

• Design & Prototyping Tools: Figma, Sketch, Adobe Creative Suite (Illustrator, Photoshop) for creating design systems, patterns, and prototypes.

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

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

Analytics & Reporting:

• User Analytics: Tools like Google Analytics, Amplitude, or Pendo (or internal equivalents) for tracking user behavior, adoption metrics, and identifying friction points in AI interactions.

• Data Visualization: Tableau, Power BI, or Looker for creating dashboards to report on the effectiveness of AI UX standards and user engagement.

CRM & Automation:

• While this role is not directly hands-on with CRM or automation tools for their implementation, a strong understanding of how AI integrates with these systems (e.g., AI-powered CRM features, workflow automation enhancements) is beneficial.

• Familiarity with enterprise platforms that might leverage AI, such as ERP systems, HRIS, or internal knowledge management systems, is advantageous.

📝 Enhancement Note: While the role is strategic and leadership-focused, a strong understanding of the tools used for design, collaboration, and analytics is essential. The candidate must be able to guide teams using these tools and understand their capabilities in the context of defining and implementing AI UX standards. Proficiency in enterprise-level collaboration and documentation tools is key for governing standards across a large organization.

👥 Team Culture & Values

Operations Values:

• Deliver a Better World: Aligns with AECOM's mission, suggesting a focus on creating impactful, sustainable, and user-centric AI solutions that improve employee productivity and contribute to business success.

• Integrity: Upholding ethical standards in AI design, ensuring transparency, fairness, and responsible use of AI technologies.

• Collaboration: Fostering a teamwork environment where diverse perspectives are valued, and cross-functional partnerships are essential for driving enterprise-wide initiatives.

• Innovation: Encouraging creative problem-solving and the exploration of new AI interaction paradigms to enhance the employee experience.

• Excellence: Striving for high-quality outcomes in defining and implementing AI UX standards, ensuring they are robust, scalable, and effective.

Collaboration Style:

• Cross-Functional Integration: The role requires deep collaboration with Product, Design, Engineering, and the AI Transformation Office, necessitating a partnership-driven approach.

• Influence and Advocacy: Success hinges on the ability to influence stakeholders, advocate for user-centered AI design principles, and build consensus across different departments.

• Governance and Guidance: The collaboration style involves establishing clear guidelines and providing ongoing support and review to ensure adherence to enterprise AI UX standards.

📝 Enhancement Note: AECOM's company values likely translate into a culture that prioritizes impactful work, ethical practices, and strong teamwork. For this role, embodying these values means not only designing effective AI experiences but also ensuring they are implemented responsibly and contribute positively to the company's overall mission and employee well-being.

⚡ Challenges & Growth Opportunities

Challenges:

• Scaling AI UX Across a Large Enterprise: Establishing consistent AI interaction standards across diverse business units, legacy systems, and evolving AI technologies presents a significant challenge.

• Balancing Governance with Innovation: Ensuring standards are robust enough for consistency and trust, while still allowing for product flexibility and rapid AI innovation.

• Driving Adoption and Change Management: Influencing distributed product teams and overcoming resistance to new standards and AI integration methodologies.

• Rapid Evolution of AI: Keeping pace with the fast-changing AI landscape and ensuring that enterprise standards remain relevant and effective.

• Defining "Good" AI Experience: Subjectivity in AI interaction design requires strong frameworks and data to guide decision-making.

Learning & Development Opportunities:

• Deep Dive into Enterprise AI Strategy: Opportunity to become a subject matter expert in AI integration and employee experience within a large-scale enterprise context.

• Leadership in Emerging Technology: Gain extensive experience in shaping the adoption of cutting-edge AI technologies through user-centered design.

• Cross-Disciplinary Skill Development: Enhance skills in product strategy, governance, change management, and executive communication by working with diverse teams.

• Industry Exposure: Potential to engage with industry conferences, thought leaders, and best practices in AI UX and digital transformation.

📝 Enhancement Note: This role offers a unique opportunity to tackle complex challenges at the forefront of AI adoption within a major corporation. The growth potential is substantial, driven by the strategic importance of AI and the need for skilled leaders to guide its user experience.

💡 Interview Preparation

Strategy Questions:

• "How would you approach defining enterprise-wide AI UX standards for a company like AECOM, considering our diverse business lines and global presence?" (Preparation: Focus on phased rollout, stakeholder engagement, and key principles.)

• "Describe a time you successfully influenced cross-functional teams (Product, Engineering, Design) to adopt a new framework or set of standards. What was your strategy?" (Preparation: Use the STAR method, highlighting influence and collaboration.)

Company & Culture Questions:

• "Based on your understanding of AECOM, what do you see as the biggest opportunities for AI to impact employee productivity, and how would you prioritize AI UX efforts?" (Preparation: Research AECOM's business, industry, and recent digital initiatives.)

• "How do you foster a collaborative environment and ensure alignment when working with distributed teams and stakeholders with competing priorities?" (Preparation: Discuss your approach to communication, relationship-building, and conflict resolution.)

Portfolio Presentation Strategy:

• Structure Your Narrative: For each case study, clearly articulate the business problem, your strategic approach, the specific AI UX challenges, the standards/frameworks you developed, the implementation process, and the resulting impact (quantified where possible).

• Showcase Scalability: Emphasize projects where your work created reusable assets or processes that could be applied broadly across an organization.

• Highlight AI Fluency: Explicitly discuss your understanding of different AI types (assistive, generative, agentic) and how your design approach adapts to them.

• Focus on Governance & Influence: Be prepared to explain how you established buy-in, managed stakeholders, and ensured adherence to design principles.

• Be Concise and Engaging: Practice your presentation to ensure it flows well, stays within time limits, and clearly communicates your strategic contributions.

📝 Enhancement Note: Interview preparation for this role should focus on demonstrating strategic thinking, leadership through influence, and a deep understanding of how to scale user experience design for AI across a large, complex organization. The portfolio presentation is a key opportunity to prove these capabilities with concrete examples.

📌 Application Steps

To apply for this Senior Manager, Enterprise AI UX Design position:

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

• Customize Your Resume: Tailor your resume to highlight experience in enterprise-wide strategy, AI-enabled product design, UX leadership, and cross-functional influence. Use keywords from the job description such as "Enterprise AI," "UX Design," "Frameworks," "Governance," and "Human-AI Interaction."

• Curate Your Portfolio: Select 2-3 of your most impactful projects that demonstrate your ability to define and scale enterprise-level standards, design for AI, and influence stakeholders. Ensure your portfolio clearly articulates the strategic approach, the design solutions, and the measurable outcomes.

• Prepare Your Presentation: Practice presenting your portfolio case studies, focusing on the strategic impact, scalability, and your role in driving adoption. Be ready to discuss your approach to Human-AI collaboration, trust, and transparency.

• Research AECOM: Familiarize yourself with AECOM's mission, industry, recent projects, and any publicly available information on their digital transformation or AI initiatives to better align your responses with the company's context and goals.

⚠️ 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.