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: April 16, 2026

Experience Level: 10+ Years

Remote Status: Hybrid

🚀 Role Summary

• This role is pivotal in shaping the future of how AECOM employees interact with Artificial Intelligence across the entire enterprise, focusing on creating intuitive and effective Human-AI collaboration.

• The Senior Manager will be instrumental in establishing and governing enterprise-wide standards, frameworks, and reusable design patterns for all AI solutions, ensuring consistency and a unified user experience.

• A key aspect involves leading the design and architecture of AI-driven interactions, ensuring they are low-friction, integrated into daily workflows, and adaptable to evolving AI capabilities.

• This position requires a strategic leader who can influence across Product, Design, Engineering, and AI Transformation teams to drive the adoption of AI experience standards and foster a culture of responsible AI.

📝 Enhancement Note: This role sits at the intersection of AI strategy, UX design leadership, and enterprise transformation. The emphasis on "enterprise-wide standards," "reusable patterns," and "governance" suggests a focus on building scalable, repeatable solutions rather than individual product features. The "AI Transformation Office" involvement indicates a high-level strategic initiative.

📈 Primary Responsibilities

• Establish and maintain enterprise-wide Human-AI interaction principles, ensuring consistency and reducing cognitive load across all AI-enabled products and workflows.

• Develop scalable frameworks and reusable design patterns for AI interaction modalities (conversational, embedded, automated, agentic) to guide product and design teams.

• Define and govern comprehensive Human-AI collaboration models, including supervision, approval, delegation, escalation, and human-in-the-loop workflows.

• Set enterprise standards for AI explainability, autonomy signaling, user control, and transparency to build trust and ensure responsible AI deployment.

• Advise Product, Design, and Engineering leaders on AI experience design, aligning solutions with enterprise standards while allowing for product innovation.

• Define key metrics to measure the adoption and effectiveness of AI experience standards, identifying friction points and areas for continuous improvement.

• Develop and disseminate playbooks, frameworks, and governance mechanisms to ensure consistent adoption of AI experience standards across the organization.

• Translate emerging industry trends in AI interaction and responsible AI into actionable frameworks and guidance for AECOM's internal AI initiatives.

📝 Enhancement Note: The responsibilities highlight a proactive, strategic, and governance-oriented approach. The emphasis on "standards," "frameworks," and "reusable patterns" indicates a need for systems thinking and the ability to design for scale. The direct involvement in "trust, transparency & control" and "responsible AI" points to a critical role in ethical AI deployment.

🎓 Skills & Qualifications

Education: Bachelor's Degree required.

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

Required Skills:

• Demonstrated success in defining and implementing enterprise-wide standards, frameworks, or operating models across multiple products or platforms.

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

• Proven experience collaborating effectively with Product Management, UX Design, Engineering, Operations, and governance/transformation organizations.

• Strong ability to translate ambiguous requirements and emerging concepts into scalable frameworks, decision models, and reusable design patterns.

• Exceptional executive communication and presentation skills, with a track record of influencing senior leaders and guiding distributed product teams.

Preferred Skills:

• Prior experience designing or governing Human-AI interaction models within a large enterprise context.

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

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

• Advanced systems-thinking capabilities, with a demonstrated ability to design holistically across multiple products rather than focusing on a single application.

• Proven experience in building and deploying design patterns, playbooks, or review frameworks that have been adopted by multiple teams.

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

📝 Enhancement Note: The "Preferred Qualifications" suggest a strong preference for candidates with practical, hands-on experience in enterprise AI implementation and governance, particularly those who can demonstrate a tangible impact of their work on adoption and consistency. The emphasis on "systems thinking" and "designing across products" is crucial for this role.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Enterprise Framework Design: Showcase examples of how you've developed and implemented overarching frameworks, standards, or operating models that governed design or product development across multiple teams or products.

• Human-AI Interaction Case Studies: Present detailed case studies of designing and scaling Human-AI interactions, focusing on aspects like conversational interfaces, automation workflows, or explainability mechanisms.

• Governance & Scalability Examples: Include evidence of establishing governance processes, design patterns, or reusable components that facilitated consistent and scalable user experiences.

• Impact & Adoption Metrics: Demonstrate how you've measured the effectiveness and adoption of your design initiatives, using data to illustrate improvements in user efficiency, satisfaction, or system consistency.

Process Documentation:

• Workflow Optimization: Provide examples of how you've analyzed and optimized complex workflows, particularly those involving human and AI collaboration, to improve efficiency and reduce friction.

• Standardization & Pattern Development: Illustrate your process for identifying common user needs or interaction challenges and translating them into documented design standards, patterns, or playbooks.

• Cross-Functional Alignment: Detail your approach to collaborating with diverse teams (Product, Engineering, Design, AI Transformation) to gain buy-in, ensure alignment, and drive the adoption of established processes and standards.

• Metrics Definition & Tracking: Outline your methodology for defining, tracking, and reporting on key performance indicators (KPIs) related to user experience, AI adoption, and operational efficiency.

📝 Enhancement Note: For this role, a portfolio should heavily emphasize strategic thinking, systems-level design, and the ability to influence and govern across a large organization. Case studies should highlight the impact of established standards and frameworks, not just individual design solutions.

💵 Compensation & Benefits

Salary Range: The estimated annual salary range for this position in Dallas, Texas, is $170,000 to $210,000 USD. This range reflects AECOM's commitment to competitive compensation for senior roles, taking into account the required experience level, strategic impact, and regional market standards for enterprise AI and UX leadership.

Benefits: AECOM offers a comprehensive benefits package designed to support the diverse needs of its employees. This package may include:

• Health & Wellness: Medical, Dental, Vision insurance, Well-being resources, Employee Assistance Program (EAP).

• Financial Security: Life insurance, Accidental Death & Dismemberment (AD&D) insurance, Disability benefits, Retirement Savings Plan, Employee Stock Purchase Plan.

• Time Off & Flexibility: Paid Time Off (PTO), Leaves of Absences, Flexible work options including hybrid arrangements.

• Additional Perks: Voluntary benefits, Business travel insurance, Service recognition awards.

Working Hours: The standard working hours for this role are approximately 40 hours per week, aligning with typical full-time employment. The hybrid work model offers flexibility in terms of location, allowing for a balance between in-office collaboration and remote work.

📝 Enhancement Note: The salary range provided is based on the explicit data found in the job description's additional information section. The benefits listed are directly extracted from the "About AECOM" section, which details the comprehensive offerings. The working hours are inferred from the "Full-time" employment type and the standard industry practice for such roles.

🎯 Team & Company Context

🏢 Company Culture

Industry: AECOM operates within the Infrastructure Consulting industry, a sector critical for global development, encompassing areas like transportation, buildings, water, environment, and energy. This context means the company deals with complex, large-scale projects that have long-term societal impact.

Company Size: AECOM is a Fortune 500 firm with over 50,000 employees globally. This large enterprise size implies a need for robust, scalable, and standardized processes, making the role of an Enterprise AI UX Design Senior Manager particularly crucial for ensuring consistency and efficiency.

Founded: Founded to deliver a better world, AECOM has a long history of partnering with clients to solve complex infrastructure challenges. This foundational purpose suggests a culture that values long-term impact, innovation, and collaboration in addressing global needs.

Team Structure:

• The Senior Manager will likely lead a dedicated function or center of excellence focused on Enterprise AI UX standards, potentially within a broader Digital Transformation or Product Strategy group.

• This role will involve significant cross-functional collaboration with Product Leaders, Product Managers, Design teams, Engineering, and the dedicated AI Transformation Office.

Methodology:

• Data-Driven Decision Making: AECOM's approach is likely rooted in data analysis to understand infrastructure needs, project performance, and client outcomes, which will extend to how AI experiences are designed and measured.

• Scalable Frameworks & Governance: Given the company's size and industry, there's a strong emphasis on developing repeatable processes and governance models to ensure quality and consistency across diverse projects and teams.

• Innovation & Future-Forward Thinking: As a global leader, AECOM is expected to embrace new technologies like AI and integrate them strategically to enhance its services and operational efficiency.

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

📝 Enhancement Note: The company's scale as a Fortune 500 infrastructure consulting firm is a key differentiator. This means the AI UX Design role isn't just about individual product design but about establishing enterprise-wide operational standards that impact tens of thousands of employees and numerous projects. The emphasis on "better world" and "legacies" suggests a culture that values impact and long-term thinking.

📈 Career & Growth Analysis

Operations Career Level: This is a Senior Manager position, indicating a leadership role with significant strategic responsibility. It is positioned to influence enterprise-wide operations and technology adoption, particularly within the rapidly evolving domain of Artificial Intelligence. The role requires not just design expertise but also strong leadership, strategic thinking, and the ability to drive change through influence and governance.

Reporting Structure: The Senior Manager will likely report to a VP or Director level executive within a Digital Strategy, Product Management, or AI Transformation organization. They will work closely with and influence various Product Managers, UX Designers, and Engineering leads across different business units, acting as a central point for AI UX standards.

Operations Impact: The impact of this role is substantial, directly influencing how AECOM's global workforce leverages AI for enhanced productivity, efficiency, and decision-making. By establishing unified AI experiences, this role contributes to operational excellence, digital transformation, and the company's ability to deliver innovative solutions to its clients, ultimately driving revenue and competitive advantage.

Growth Opportunities:

• Strategic Leadership Expansion: Potential to lead larger teams or broader AI/Digital Strategy initiatives within AECOM, moving into Director or VP-level roles.

• Specialization in AI Governance & Ethics: Deepen expertise in responsible AI, ethical design, and AI governance, becoming a recognized authority within the company and industry.

• Cross-Business Unit Influence: Expand influence across AECOM's diverse business lines (Water, Environment, Transportation, Buildings), driving AI adoption and standardization on a global scale.

• Mentorship & Development: Opportunity to mentor junior designers and product managers, shaping the next generation of AI-savvy professionals within AECOM.

📝 Enhancement Note: The "Senior Manager" title in a large enterprise like AECOM, focusing on a critical emerging technology like AI, signifies a high-impact role with significant growth potential. The emphasis on "influence and governance" over direct team management (though leadership experience is required) suggests a path toward broader strategic influence rather than pure people management, common in enterprise operations and strategy roles.

🌐 Work Environment

Office Type: AECOM offers a Hybrid work model, allowing for a blend of in-office collaboration and remote work. This model is designed to provide flexibility while still fostering team cohesion and in-person idea exchange. The specific office location in Dallas is at 13355 Noel Road.

Office Location(s): The primary location for this role is Dallas, Texas, specifically at the 13355 Noel Road address. The job description also mentions flexibility to be based from either Houston or Dallas, TX, indicating potential for other AECOM offices in Texas.

Workspace Context:

• Collaborative Hubs: The Dallas office is likely equipped with modern collaborative spaces designed to facilitate brainstorming, design reviews, and cross-functional meetings essential for this role.

• Technology Enablement: Employees are expected to have access to AECOM's robust technology infrastructure, including tools for design, communication, project management, and AI development, supporting both remote and in-office work.

• Cross-Functional Interaction: The hybrid model and the nature of the role necessitate regular interaction with colleagues across various departments and potentially geographies, promoting a dynamic and interconnected work environment.

Work Schedule: The role adheres to a standard full-time schedule (approximately 40 hours per week). The hybrid arrangement allows for flexibility in where work is performed, balancing focused individual work with collaborative team sessions. This structure is conducive to the iterative design and strategic planning required for enterprise AI UX.

📝 Enhancement Note: The hybrid work model is a key aspect of the work environment, directly impacting how collaboration and individual focus time are managed. The Dallas location is specified, and the mention of Houston as an alternative suggests AECOM has a significant presence in Texas.

📄 Application & Portfolio Review Process

Interview Process: The interview process for this Senior Manager role will likely be multi-stage, designed to assess strategic thinking, leadership capabilities, technical depth, and cultural fit.

• Initial Screening: A review of your resume and portfolio to assess alignment with the minimum and preferred qualifications, with a focus on enterprise-level strategy and AI experience design.

• Hiring Manager Interview: An in-depth discussion about your experience, leadership style, strategic approach to AI UX, and your understanding of enterprise-wide governance and standardization. Expect questions about past successes and challenges in similar roles.

• Cross-Functional Panel: Interviews with key stakeholders from Product, Design, Engineering, and the AI Transformation Office. This stage will focus on your ability to collaborate, influence, and articulate complex ideas to diverse audiences. Expect scenario-based questions and discussions on how you'd approach specific challenges.

• Executive/Senior Leadership Interview: A final conversation to assess your strategic vision, executive presence, and alignment with AECOM's overall business objectives and culture.

• Portfolio Presentation: A dedicated session where you will present a curated selection of your work, focusing on enterprise-level frameworks, AI interaction designs, and measurable impact.

Portfolio Review Tips:

• Focus on Enterprise Impact: Showcase projects where you've defined enterprise-wide standards, frameworks, or operating models. Highlight how your work scaled and influenced multiple teams or products.

• AI-Specific Case Studies: Detail your experience with Human-AI interaction design, including conversational AI, workflow automation, explainability, and trust mechanisms. Quantify the impact whenever possible.

• Demonstrate Systems Thinking: Illustrate your ability to design holistically across products and workflows, not just within a single application. Show how you consider the broader ecosystem.

• Highlight Governance & Influence: Present examples of how you've successfully established governance processes, built consensus, and driven adoption of standards across diverse stakeholder groups.

• Quantify Results: For each project, clearly articulate the problem, your solution, your role, and the measurable outcomes (e.g., adoption rates, efficiency gains, reduction in error rates, improved user satisfaction).

Challenge Preparation:

• AI UX Strategy Case: Be prepared for a hypothetical scenario where you need to define enterprise AI UX standards for a specific AECOM business unit or a new AI initiative. Focus on your methodology for understanding user needs, defining principles, and proposing initial frameworks.

• Stakeholder Alignment Exercise: Practice articulating your vision and gaining buy-in from different functional groups (e.g., explaining AI explainability standards to engineers vs. business leaders).

• Process & Governance Design: Be ready to discuss how you would set up a process for reviewing and approving AI UX designs to ensure adherence to enterprise standards.

📝 Enhancement Note: The interview process is expected to be rigorous, reflecting the seniority and strategic importance of the role. Candidates should prepare to articulate their experience in terms of enterprise-level impact, strategic planning, and the ability to lead through influence, particularly in the context of AI adoption and governance.

🛠 Tools & Technology Stack

Primary Tools: While not explicitly listed, a Senior Manager in this role would typically be proficient in or oversee teams using:

• Design & Prototyping: Figma, Sketch, Adobe XD, InVision for creating wireframes, prototypes, and design systems.

• Collaboration & Documentation: Confluence, Jira, Miro, Mural for knowledge sharing, process documentation, and collaborative design sessions.

• AI/ML Platforms: Familiarity with common AI/ML platforms and tools (e.g., Google AI Platform, AWS SageMaker, Azure ML) to understand the technical constraints and possibilities of AI-driven features.

Analytics & Reporting:

• User Analytics: Tools like Google Analytics, Adobe Analytics, or specialized UX analytics platforms to track user behavior and adoption of AI features.

• BI & Dashboarding: Tableau, Power BI, or Looker for creating dashboards to monitor key performance indicators (KPIs) related to AI experience adoption and effectiveness.

CRM & Automation:

• CRM Systems: Understanding of how AI integrates with CRM platforms (e.g., Salesforce, Microsoft Dynamics) to enhance sales, service, or marketing operations.

• Workflow Automation Tools: Familiarity with enterprise workflow automation solutions (e.g., ServiceNow, UiPath, Microsoft Power Automate) to understand how AI can be embedded within automated processes.

📝 Enhancement Note: The specific tools are not detailed, but the role's focus on "AI Assistants," "Operational AI & Automation," and "Agentic AI solutions" implies a need for understanding the broader technology ecosystem within which these AI applications operate. Proficiency in design systems, collaboration platforms, and analytics is essential for defining and governing enterprise standards.

👥 Team Culture & Values

Operations Values:

• Drive a Better World: Aligned with AECOM's mission, this value translates to designing AI solutions that not only improve efficiency but also contribute positively to employee experience and client outcomes.

• Integrity & Responsibility: A strong emphasis on ethical AI deployment, ensuring transparency, fairness, and accountability in all AI interactions and decision-making processes.

• Collaboration & Inclusion: Fostering an environment where diverse perspectives are valued, and cross-functional teams work together seamlessly to create unified and effective AI experiences.

• Innovation & Continuous Improvement: Embracing new AI technologies and methodologies, constantly seeking ways to optimize processes, enhance user experiences, and drive digital transformation.

• Excellence & Accountability: A commitment to delivering high-quality, scalable, and impactful AI UX solutions, with clear ownership and accountability for outcomes.

Collaboration Style:

• Cross-Functional Partnership: The role requires a highly collaborative approach, working closely with Product Management, Engineering, Design, and the AI Transformation Office to ensure AI UX standards are integrated from conception through deployment.

• Influence through Data & Vision: Collaboration will involve using data-driven insights, strategic vision, and clear communication to influence decision-making and gain buy-in for enterprise-wide standards.

• Knowledge Sharing & Best Practices: A culture that encourages the sharing of best practices, learnings, and emerging trends in AI UX design and governance across teams.

📝 Enhancement Note: AECOM's stated values of "delivering a better world" and "integrity" are highly relevant. For this AI UX role, these translate into a focus on ethical AI, responsible innovation, and creating experiences that genuinely benefit employees and the company's mission. The collaborative style will be crucial for driving adoption of standards in a large, distributed organization.

⚡ Challenges & Growth Opportunities

Challenges:

• Balancing Standardization with Innovation: Ensuring enterprise-wide consistency in AI UX without stifling product-specific innovation or the rapid evolution of AI capabilities.

• Driving Adoption Across a Large Enterprise: Gaining buy-in and ensuring consistent application of AI UX standards across diverse business units, teams, and legacy systems.

• Navigating Ambiguity in Emerging AI: Defining standards for rapidly evolving AI technologies (like agentic AI) where best practices are still being established.

• Measuring Impact of Intangibles: Quantifying the value of improved user experience, trust, and transparency in AI interactions, which can be challenging to attribute directly to ROI.

Learning & Development Opportunities:

• AI Ethics & Responsible AI Certifications: Opportunities to deepen expertise and gain formal certifications in responsible AI development and ethical design practices.

• Industry Conferences & Workshops: Participation in leading AI, UX, and digital transformation conferences to stay abreast of industry trends and network with peers.

• Leadership Development Programs: AECOM likely offers programs to enhance leadership, strategic thinking, and cross-functional influence skills, preparing individuals for senior leadership roles.

• Exploration of New AI Paradigms: The role provides a unique opportunity to be at the forefront of exploring and defining best practices for cutting-edge AI applications like AI copilots and agentic systems within a major enterprise.

📝 Enhancement Note: The challenges are inherent to implementing enterprise-wide standards for a new and rapidly evolving technology. The growth opportunities are substantial, positioning the candidate to become a key leader in AECOM's digital transformation journey.

💡 Interview Preparation

Strategy Questions:

• "How would you approach defining enterprise-wide AI UX standards from scratch for a company like AECOM, considering its diverse business lines?" (Prepare to discuss methodology, stakeholder engagement, and phased rollout).

• "Describe a time you had to balance the need for standardization with the desire for product innovation. What was your approach and the outcome?" (Focus on influence, compromise, and finding scalable solutions).

• "How do you ensure that AI experiences are trustworthy and transparent for end-users? What specific principles or patterns would you advocate for?" (Discuss explainability, control, and user understanding).

Company & Culture Questions:

• "What do you know about AECOM's mission and how do you see AI UX design contributing to 'delivering a better world'?" (Connect your expertise to the company's core values and business objectives).

• "How would you foster a culture of responsible AI and user-centric design within engineering and product teams that may have different priorities?" (Discuss communication strategies, training, and collaborative processes).

Portfolio Presentation Strategy:

• Structure for Impact: Organize your presentation by themes: Enterprise Frameworks, Human-AI Interaction Design, Governance & Scalability, and Measurable Impact.

• Tell a Story: For each case study, clearly articulate the problem, your role, the strategic rationale for your approach, the solution you implemented, and the quantifiable results.

• Focus on "Why": Explain the strategic thinking behind your design decisions and how they align with enterprise goals and user needs.

• Demonstrate Systems Thinking: Show how your solutions integrate across different products or workflows, rather than being isolated features.

• Be Ready for Deep Dives: Anticipate questions about your process, the tools you used, the challenges you faced, and how you collaborated with teams.

📝 Enhancement Note: Preparation should focus on demonstrating strategic thinking, leadership through influence, and a deep understanding of both AI capabilities and enterprise-level operational needs. The portfolio presentation is a critical opportunity to showcase these skills 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 link.

• Curate Your Operations Portfolio: Select 2-3 key projects that best demonstrate your experience in developing enterprise-wide standards, frameworks, or operating models, with a strong emphasis on AI UX design and governance. Prioritize case studies with quantifiable results.

• Optimize Your Resume: Tailor your resume to highlight keywords from the job description such as "Enterprise AI," "UX Design," "Product Strategy," "Systems Thinking," "Human-AI Collaboration," "Governance," and "Scalable Frameworks." Quantify your achievements wherever possible.

• Prepare Your Presentation: Practice a concise and impactful presentation of your portfolio, focusing on how you've driven strategic initiatives, influenced cross-functional teams, and delivered measurable outcomes in enterprise AI UX.

• Research AECOM's AI Initiatives: Understand AECOM's current technology landscape, digital transformation efforts, and any publicly available information on their AI strategy or adoption. This will help tailor your responses and demonstrate genuine interest.

⚠️ 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.