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: UX Design / Product Management (AI Focus)

Date Posted: April 14, 2026

Experience Level: 10+ Years

Remote Status: Hybrid

🚀 Role Summary

• Define and scale enterprise-wide standards for Human-AI interaction, ensuring intuitive and trusted user experiences across various AI solutions.

• Lead the development of interaction design frameworks and reusable patterns for AI assistants, operational AI, and agentic AI systems.

• Establish governance models for transparency, user control, and explainability in AI-driven workflows.

• Drive the integration of AI experiences across products and workflows to reduce cognitive load and enhance efficiency.

• Partner with Product, Design, Engineering, and AI Transformation teams to influence product strategy and ensure alignment with enterprise standards.

📝 Enhancement Note: This role, while titled "UX Design," has a significant strategic and operational component, focusing on enterprise-wide AI interaction standards and governance. The "Senior Manager" title and responsibilities suggest a leadership position requiring significant influence and cross-functional collaboration, similar to a Senior Product Manager or Operations Lead within a technology or digital transformation group. The emphasis on "scaling," "standards," "frameworks," and "governance" points towards a role that operationalizes AI UX across a large organization, rather than solely focusing on individual product design.

📈 Primary Responsibilities

• Establish and govern enterprise-wide principles for Human-AI interaction across all AI solutions.

• Create scalable frameworks and reusable design patterns to ensure consistency and minimize user cognitive load in AI-enabled applications.

• Develop frameworks for selecting appropriate interaction modalities (conversational, embedded, automated, agentic) based on user needs and workflow complexity.

• Guide Product and Design teams in applying interaction models that integrate seamlessly into existing workflows and drive user adoption.

• Define standardized patterns for human-AI collaboration, including supervision, approval, delegation, escalation, and human-in-the-loop workflows.

• Ensure seamless cross-product experiences and efficient workflow handoffs between users and AI systems.

• Standardize visibility into AI task execution, ownership, workflow status, and system performance.

• Set enterprise standards for AI explainability, autonomy signaling, and user control mechanisms.

• Ensure users understand AI operational modes (assist, recommend, automate, act) and when human intervention is necessary.

• Define clear patterns for AI approvals, overrides, escalations, and responsible decision-making processes.

• Continuously refine trust and control models based on user behavior analysis and operational feedback.

• Advise senior leaders in Product, Design, and Engineering on AI experience design best practices and alignment with enterprise standards.

• Balance the need for consistency and governance with product flexibility and innovation.

• Translate emerging industry trends and internal learnings into actionable frameworks, guidance, and best practices for AI UX.

• Help shape the overarching enterprise strategy for "UI for AI" across all relevant systems and workflows.

• Define and track key performance indicators (KPIs) to evaluate the adoption and effectiveness of enterprise AI experience standards.

• Identify and address friction points, inconsistencies, and trust gaps within AI-enabled user experiences.

• Evolve AI experience standards through ongoing feedback loops, user insights, and the incorporation of best practices.

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

📝 Enhancement Note: The responsibilities clearly indicate a strategic operations-level role focused on standardizing and scaling AI user experiences. This involves not just design principles but also governance, adoption, and continuous improvement, aligning with the core functions of operations in ensuring efficiency, consistency, and effectiveness across an organization.

🎓 Skills & Qualifications

Education: Bachelor's Degree in Design, Computer Science, Human-Computer Interaction, Product Management, or a related field.

Experience: A minimum of 10 years of progressive experience in product management, UX strategy, enterprise platform design, digital experience architecture, or a related field. This includes at least 2 years in a leadership capacity, driving cross-functional strategy through influence and established governance frameworks. Demonstrated experience in defining and implementing enterprise-wide standards, frameworks, or operating models across multiple products or platforms is essential.

Required Skills:

• Deep 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, robust decision models, and practical, reusable design patterns.

• Extensive experience partnering effectively across Product, Design, Engineering, Operations, and dedicated transformation or governance organizations.

• Exceptional executive communication skills, with a demonstrated ability to influence senior leaders and guide distributed product teams.

• Strong strategic thinking and problem-solving capabilities applied to complex enterprise challenges.

• Proficiency in establishing governance structures and ensuring compliance with enterprise standards.

Preferred Skills:

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

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

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

• Advanced systems-thinking capability, with an ability to design user experiences that span across multiple products rather than being confined to a single application.

• Proven track record of building adopted design patterns, comprehensive playbooks, or effective review frameworks that have been successfully implemented across multiple teams.

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

• Experience in implementing and measuring adoption metrics for new operational frameworks or standards.

📝 Enhancement Note: The quantitative and qualitative requirements point to a senior-level individual contributor or a manager of a specialized team, requiring a blend of design expertise and operational leadership. The emphasis on enterprise-wide standards and cross-functional influence suggests a role that operates at a strategic level, akin to a Head of Operations or Director of Product Operations for AI initiatives.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Examples demonstrating the creation and implementation of enterprise-wide design standards, frameworks, or operating models.

• Case studies showcasing the development of reusable design patterns or interaction models for complex systems, ideally involving AI or automation.

• Documentation or artifacts illustrating a structured approach to defining and governing cross-product user experiences.

• Evidence of influencing product strategy or design decisions through clear communication and strategic rationale, particularly in the context of AI or digital transformation.

Process Documentation:

• Documentation of processes developed for establishing AI interaction principles and governance.

• Examples of frameworks created for selecting appropriate AI interaction modalities and designing human-AI collaboration models.

• Artifacts detailing the definition and implementation of standards for AI transparency, user control, and explainability.

• Playbooks or guides developed for driving adoption of AI experience standards across distributed teams.

• Metrics and analysis demonstrating the impact of implemented AI UX standards on user adoption, efficiency, or trust.

📝 Enhancement Note: Given the strategic and governance-focused nature of this role, a portfolio should emphasize strategic documentation, framework development, and evidence of influencing organizational standards, rather than solely focusing on individual UI designs. The ability to articulate process creation and operationalization is key.

💵 Compensation & Benefits

Salary Range: An estimated annual salary range for this Senior Manager, Enterprise AI UX Design position in Dallas, TX, is between $170,000 and $210,000 USD. This range is based on the provided data, experience level (10+ years, including leadership), and the strategic nature of the role within a large enterprise. The exact compensation will be determined by the candidate's qualifications, experience, and alignment with AECOM's compensation structure.

Benefits:

• Comprehensive medical, dental, and vision insurance plans.

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

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

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

• Access to voluntary benefits and employee well-being resources.

• Employee Assistance Program (EAP) for confidential support.

• Business travel insurance for work-related travel.

• Service recognition awards to acknowledge long-term contributions.

• Retirement savings plan to support future financial security.

• Employee Stock Purchase Plan (ESPP) for opportunities to invest in AECOM.

• Flexible work options, including hybrid work schedules.

Working Hours: Standard full-time work hours are expected, likely around 40 hours per week. The role offers hybrid flexibility, allowing for a blend of in-office and remote work, which supports dynamic scheduling and work-life integration.

📝 Enhancement Note: The salary range is directly taken from the provided data. The benefits listed are comprehensive and typical for a large, publicly traded corporation like AECOM, covering a broad spectrum of employee needs from health and financial security to work-life balance and professional development.

🎯 Team & Company Context

🏢 Company Culture

Industry: AECOM operates in the Infrastructure Consulting industry. This sector is critical for global development, focusing on planning, designing, engineering, and managing projects related to transportation, environment, water, energy, and buildings. For operations professionals, this means working within a complex, project-driven environment with a strong emphasis on technical expertise, regulatory compliance, and long-term project lifecycles. The integration of AI in this sector is a growing trend, aiming to improve efficiency, safety, and sustainability in infrastructure development and management.

Company Size: AECOM is a large, global enterprise with over 50,000 employees worldwide. This scale implies a structured organizational hierarchy, established processes, and a wide array of internal departments and functions. For operations roles, this means opportunities to work on large-scale initiatives, collaborate with diverse teams, and navigate complex organizational structures. It also suggests a significant investment in technology and operational efficiency to manage such a vast network.

Founded: AECOM's history traces back through various legacy firms, with the current AECOM formed in 2000. This established presence indicates a mature organization with deep industry experience and a track record of successful project delivery. For operations, this means working within established systems and processes, while also being part of initiatives to modernize and innovate, such as the adoption of AI.

Team Structure: The Senior Manager, Enterprise AI UX Design will likely be part of a central Digital Innovation, Technology, or AI Transformation Office, or a senior role within a Product Design or UX leadership team.

• Operations Team Aspect 1: This role likely leads a small, specialized team of UX designers, interaction designers, or AI experience strategists, or operates as a principal individual contributor with significant influence. The team's focus is on establishing and governing AI UX standards across the enterprise.

• Operations Team Aspect 2: The reporting structure is likely to a Director or VP of Digital Transformation, AI Strategy, Product Management, or UX. They will collaborate closely with Product Leaders, Product Managers, Engineering Leads, and the AI Transformation Office.

• Operations Team Aspect 3: Cross-functional collaboration is paramount, involving close partnerships with business units, IT, project management offices (PMOs), and potentially legal/compliance teams to ensure AI solutions are intuitive, compliant, and adopted effectively.

Methodology:

• Operations Process 1: Data analysis and insights will be crucial for understanding user behavior with AI, identifying friction points, and measuring the effectiveness of established standards. This involves leveraging operational data and user feedback.

• Operations Process 2: Workflow planning and optimization strategies will be central to designing how humans and AI interact seamlessly, ensuring efficiency and reducing errors in complex infrastructure-related tasks.

• Operations Process 3: Automation and efficiency practices will be a core focus, as the role aims to standardize AI use to automate repetitive tasks, enhance decision-making, and improve overall operational productivity across the enterprise.

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

📝 Enhancement Note: AECOM's industry and scale necessitate a strong operational backbone. The AI UX role is positioned at the intersection of technology adoption and operational efficiency, aiming to bring structure and user-centricity to a rapidly evolving field within a traditional industry.

📈 Career & Growth Analysis

Operations Career Level: This role represents a senior leadership or principal individual contributor level within the operations and design strategy domain. It is positioned to influence enterprise-wide technology adoption and user experience standards, particularly for cutting-edge AI technologies. The scope extends beyond a single product to encompass the entire organization's interaction with AI, requiring strategic foresight, governance expertise, and the ability to drive large-scale change.

Reporting Structure: The Senior Manager will likely report to a Director or Vice President overseeing Digital Transformation, AI Strategy, Enterprise Product Management, or User Experience. This reporting line signifies direct involvement in strategic initiatives and a high level of visibility with senior leadership. The role will collaborate extensively with peer managers and leaders across Product, Engineering, and various business units.

Operations Impact: The operations impact of this role is significant. By defining and scaling enterprise AI UX standards, the Senior Manager will directly influence:

• Employee Productivity: Ensuring AI tools are intuitive and efficient, leading to increased output and reduced training time.

• Adoption Rates: Fostering trust and ease of use, which are critical for the successful adoption of new AI technologies across a large workforce.

• Operational Efficiency: Streamlining workflows and automating tasks through well-designed AI integrations, reducing errors and operational costs.

• Risk Mitigation: Establishing governance around trust, transparency, and control, which is vital for responsible AI deployment and compliance.

• Innovation Enablement: Providing a solid foundation for AI development and deployment, allowing teams to innovate faster and more effectively.

Growth Opportunities:

• Operations Skill Advancement: Deepen expertise in AI UX strategy, enterprise governance, and operationalizing new technologies within a large, complex organization. Potential to lead a dedicated AI UX team.

• Industry Leadership: Become a recognized expert in enterprise AI UX design within the infrastructure consulting sector, potentially speaking at industry conferences or contributing to best practice publications.

• Strategic Influence: Expand influence on broader digital transformation and AI strategy initiatives within AECOM, potentially moving into broader product leadership or digital strategy roles.

• Cross-Functional Leadership: Develop strong leadership and influencing skills through extensive collaboration with diverse departments, preparing for roles with broader P&L or strategic oversight.

📝 Enhancement Note: This role offers a unique opportunity to shape the future of AI interaction within a major infrastructure firm, bridging the gap between cutting-edge technology and practical enterprise operations. The growth path emphasizes strategic leadership and operational excellence in a critical emerging domain.

🌐 Work Environment

Office Type: AECOM offers a hybrid work model, indicating a blend of in-office collaboration and remote flexibility. The office environment is likely designed to foster collaboration, innovation, and teamwork, with modern amenities and technology infrastructure to support a global workforce.

Office Location(s): This position is based in Dallas, Texas, with a primary office location at 13355 Noel Road. The hybrid arrangement means employees will spend a portion of their week in the office and the remainder working remotely. Dallas is a major business hub, offering good connectivity and access to talent.

Workspace Context:

• Workspace Aspect 1: The office space will likely feature collaborative zones, meeting rooms equipped with advanced AV technology, and quiet areas for focused work, supporting a flexible and productive work style.

• Workspace Aspect 2: Access to AECOM's robust IT infrastructure, including high-speed internet, secure network access, and relevant software licenses for design, project management, and communication tools, will be standard. This role will require proficiency with design and collaboration software.

• Workspace Aspect 3: Opportunities for direct interaction with peers in design, product management, engineering, and AI strategy teams will be available during in-office days, fostering a culture of shared learning and problem-solving.

Work Schedule: The role is full-time, with expected working hours around 40 per week. The hybrid arrangement provides flexibility, allowing employees to balance in-office requirements with remote work, which can be beneficial for deep work sessions and personal commitments. This flexibility is key for operations roles that often require focused analysis and strategic thinking.

📝 Enhancement Note: The hybrid work environment is a key aspect for operations roles, balancing the need for collaborative brainstorming and team cohesion with the requirement for focused, uninterrupted work essential for strategic planning and analysis.

📄 Application & Portfolio Review Process

Interview Process:

• Process Step 1: Initial screening by HR or a recruiter to assess basic qualifications and cultural fit. Be prepared to articulate your experience with enterprise-level strategy and AI UX, and how your background aligns with AECOM's mission.

• Process Step 2: Interviews with hiring managers and key stakeholders from Product, Design, and potentially AI Transformation teams. Expect questions focused on your strategic thinking, experience defining standards, and approach to human-AI interaction design.

• Process Step 3: A potential design or strategy challenge, or a deep-dive portfolio review. This stage will assess your ability to apply your expertise to hypothetical or real AECOM scenarios, demonstrating your systems thinking and ability to create scalable solutions.

• Process Step 4: Final interviews with senior leadership to evaluate leadership potential, executive communication skills, and overall fit for the role and AECOM's culture. Emphasis will be placed on your ability to influence and drive change.

Portfolio Review Tips:

• Portfolio Tip 1: Curate your portfolio to highlight projects demonstrating enterprise-wide strategy development, framework creation, and the operationalization of design standards, especially those involving AI or complex systems. Focus on impact and scalability.

• Portfolio Tip 2: Structure case studies to clearly articulate the problem, your strategic approach, the solutions developed (frameworks, patterns, governance models), and the measurable outcomes or impact on user adoption, efficiency, or trust.

• Portfolio Tip 3: Be prepared to present metrics and demonstrate ROI, even if qualitative, for your work in standardizing experiences or improving AI interactions. Quantify impact where possible.

• Portfolio Tip 4: Tailor your presentation to AECOM's context – discuss how your experience in infrastructure or large-scale organizations translates, and demonstrate an understanding of their challenges and goals related to AI adoption.

Challenge Preparation:

• Challenge Preparation 1: Be ready for scenario-based questions or a mini-project that requires you to define AI UX standards for a specific AECOM use case (e.g., AI for project management, AI for field operations). Focus on your process for developing such standards.

• Challenge Preparation 2: Practice articulating your thought process clearly and concisely. For any presented work, be prepared to explain your rationale, potential trade-offs, and how you would measure success.

• Challenge Preparation 3: Demonstrate how you would communicate your proposed standards and gain buy-in from various stakeholders (e.g., engineers, product managers, business leaders), highlighting your collaboration and influence skills.

📝 Enhancement Note: The interview process for a senior strategic role like this will heavily emphasize strategic thinking, leadership potential, and the ability to articulate complex ideas and operationalize them across a large organization. A strong portfolio demonstrating these capabilities is critical.

🛠 Tools & Technology Stack

Primary Tools:

• Design & Prototyping: Figma, Sketch, Adobe Creative Suite (for visual assets if needed), InVision or similar for prototyping and collaboration.

• Collaboration & Communication: Microsoft Teams, Slack, Zoom, Jira, Confluence.

• Project Management: Jira, Asana, Trello, or similar platforms for tracking initiatives and workflow progress.

Analytics & Reporting:

• Analytics Platforms: Google Analytics, Adobe Analytics, or internal BI tools for tracking user behavior and adoption metrics.

• Dashboard Tools: Tableau, Power BI, or similar for creating visualizations to communicate insights and performance to stakeholders.

• User Feedback Tools: SurveyMonkey, Qualtrics, or in-app feedback mechanisms for gathering qualitative user insights.

CRM & Automation:

• CRM: While not directly managing CRM, understanding how AI interactions integrate with CRM systems (e.g., Salesforce) for sales or customer service applications would be beneficial.

• Automation Platforms: Familiarity with enterprise automation tools or concepts, and how AI fits into these workflows.

• Integration Tools: Understanding of API concepts and how different systems (including AI services) connect and exchange data within an enterprise environment.

📝 Enhancement Note: Proficiency with standard UX design and collaboration tools is expected. For this role, a strong understanding of how AI interfaces integrate with broader enterprise systems and how to measure their impact through analytics is crucial. The emphasis is on strategic application of tools to drive enterprise-wide operational improvements.

👥 Team Culture & Values

Operations Values:

• Data-Driven Decision-Making: A strong emphasis on using data to inform strategy, measure impact, and refine AI UX standards. Operations professionals are expected to champion evidence-based approaches.

• Efficiency & Optimization: A core value in driving continuous improvement, streamlining processes, and ensuring that AI solutions contribute to operational efficiency across AECOM.

• Collaboration & Partnership: Fostering strong relationships with cross-functional teams to ensure AI initiatives are aligned with business objectives and user needs.

• Innovation & Adaptability: Embracing new technologies like AI and adapting quickly to evolving industry trends and user expectations.

• Accountability & Ownership: Taking responsibility for the successful design, governance, and adoption of enterprise AI experiences.

Collaboration Style:

• Cross-Functional Integration: A collaborative approach that involves working closely with Product Management, Engineering, Business Units, and the AI Transformation Office to ensure unified AI experiences.

• Process Review & Feedback: An open culture of reviewing processes, sharing feedback constructively, and iterating on solutions to achieve optimal outcomes.

• Knowledge Sharing: Actively sharing insights, best practices, and learnings related to AI UX and operationalization across the organization to build collective expertise.

📝 Enhancement Note: AECOM's culture, as described, emphasizes collaboration, innovation, and a commitment to delivering results. For an operations role focused on AI, this translates to a need for proactive engagement, a willingness to experiment, and a focus on measurable impact.

⚡ Challenges & Growth Opportunities

Challenges:

• Scaling AI UX Standards: The primary challenge will be effectively scaling AI UX standards and governance across a large, diverse, and geographically dispersed organization like AECOM, ensuring adoption and consistency.

• Balancing Governance with Innovation: Striking the right balance between establishing necessary governance for responsible AI and allowing product teams the flexibility to innovate and adapt to specific user needs.

• Evolving AI Landscape: Keeping pace with the rapid advancements in AI technology and interaction patterns, and continuously updating enterprise standards to remain relevant and effective.

• Cross-Functional Alignment: Gaining and maintaining alignment among numerous stakeholders with potentially competing priorities across different business units and technical teams.

• Measuring Impact: Defining and consistently measuring the ROI and effectiveness of AI UX initiatives, especially in a complex, project-based industry like infrastructure.

Learning & Development Opportunities:

• AI UX Specialization: Deepen expertise in emerging AI interaction models, responsible AI design, and enterprise AI strategy through internal projects and external learning resources.

• Industry Conferences & Training: Opportunities to attend leading UX, AI, and digital transformation conferences, and pursue relevant certifications.

• Leadership Development: Gain experience in strategic leadership, stakeholder management, and driving organizational change, preparing for senior leadership roles.

• Mentorship: Potential to be mentored by senior leaders within AECOM's digital transformation or product organizations, and to mentor junior designers or strategists.

📝 Enhancement Note: This role is at the forefront of AI adoption in a traditional industry, presenting significant challenges but also immense opportunities for professional growth and impact.

💡 Interview Preparation

Strategy Questions:

• "How would you approach defining enterprise-wide AI UX standards for a company like AECOM, with diverse business lines and user types?" (Focus on your process for research, stakeholder engagement, framework development, and governance.)

• "Describe a time you had to influence senior leadership to adopt a new strategic direction or set of standards. What was your approach, and what was the outcome?" (Highlight your executive communication, persuasive skills, and ability to build consensus.)

• "How do you balance the need for consistency in AI experiences with the need for product-specific innovation and flexibility?" (Discuss your strategies for creating adaptable frameworks and guiding principles.)

Company & Culture Questions:

• "What do you know about AECOM's mission and how do you see AI UX contributing to 'delivering a better world'?" (Research AECOM's impact and align your expertise with their goals.)

• "How would you foster a culture of responsible AI and user trust within a large organization through UX design?" (Discuss your understanding of responsible AI principles and how they translate to practical design and governance.)

Portfolio Presentation Strategy:

• Presentation Strategy 1: Structure your portfolio presentation around 2-3 key projects that best showcase your ability to develop enterprise standards, frameworks, or strategic approaches to complex problems, ideally involving AI or significant organizational change. Clearly articulate the problem, your strategic thinking, the solution, and the impact.

• Presentation Strategy 2: For each project, be prepared to discuss the metrics you used (or would have used) to measure success, and how your work delivered tangible value or ROI. Focus on outcomes, not just deliverables.

• Presentation Strategy 3: Be ready to walk through the "why" behind your decisions, demonstrating your strategic thinking and ability to adapt your approach based on context and user needs. Engage your interviewers by asking clarifying questions and inviting discussion.

📝 Enhancement Note: Interview preparation should focus on demonstrating strategic leadership, operational thinking, and the ability to translate complex concepts into actionable plans for a large enterprise. Your ability to articulate a clear process for defining and implementing standards will be key.

📌 Application Steps

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

• Submit your application through the provided link on the SmartRecruiters platform.

• Concrete preparation step 1: Customize your resume to highlight experience in enterprise-level strategy, UX leadership, AI design, governance, and cross-functional influence. Quantify achievements where possible, focusing on scalability and impact.

• Concrete preparation step 2: Prepare your portfolio to showcase projects that demonstrate your ability to define and operationalize standards, frameworks, or strategies for complex systems, particularly those involving AI or significant organizational change. Ensure case studies clearly articulate problem, solution, and outcome.

• Concrete preparation step 3: Practice articulating your approach to AI UX strategy, governance, and stakeholder management. Be ready to discuss your experience in detail during interviews and to present your portfolio with confidence.

• Concrete preparation step 4: Thoroughly research AECOM, its mission, recent projects, and its approach to digital transformation and AI. Understand their industry challenges and how your role can contribute to their strategic 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.

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