Lead UX Operations Manager, AI Enablement

📍 Job Overview

Job Title: Lead UX Operations Manager, AI Enablement

Company: Target

Location: 1000 Nicollet Mall, Minneapolis, MN 55403-2542, United States

Job Type: Full time

Category: UX Operations / Design Program Management

Date Posted: 2026-09-23

Experience Level: 7+ Years

Remote Status: Hybrid/Flex for Your Day

🚀 Role Summary

• Lead the operational strategy for AI-enabled and agentic experience development within Target's Global UX team, focusing on scalable and responsible AI adoption.

• Define and implement frameworks, workflows, and governance models for UX teams to design, build, test, and govern AI-driven digital experiences.

• Drive AI fluency and adoption across UX practitioners by leading pilot programs, experimentation, and developing practical enablement strategies.

• Foster collaboration between UX, Product, Engineering, Technology, and Learning teams to evolve digital experience delivery in an AI-centric landscape.

📝 Enhancement Note: This role is critical for integrating cutting-edge AI capabilities into Target's digital products. It requires a unique blend of UX operations expertise, program management skills, and a deep understanding of AI's implications for design and development processes. The "AI Enablement" focus signifies a proactive approach to upskilling and guiding teams through technological evolution.

📈 Primary Responsibilities

• Develop and lead the operational strategy for agentic building within UX, establishing robust frameworks, workflows, and integration models for responsible AI-enabled experience design and scaling.

• Define operating models for human-and-agent collaboration, clearly delineating roles and responsibilities for human judgment, review, intervention, escalation, accessibility, ethics, and quality assurance throughout the product development lifecycle.

• Spearhead pilot programs and experimentation initiatives to test new agentic workflows, capture critical learnings, identify potential risks, and translate successful patterns into reusable practices, playbooks, and comprehensive guidance.

• Measure the adoption rate and effectiveness of new tools and workflows, leveraging data and qualitative feedback to continuously refine enablement strategies and demonstrably showcase the impact of AI operations on UX delivery.

• Partner closely with Learning & Development (L&D) teams and UX leadership to design and deliver AI training programs, workshops, targeted skill development initiatives, and accessible learning resources for UX teams.

• Translate complex technical and operational concepts related to AI and agentic systems into clear, actionable recommendations, comprehensive roadmaps, and executive-ready narratives.

📝 Enhancement Note: The responsibilities highlight a hands-on approach to operationalizing AI within UX. This includes not only defining processes but also actively testing, measuring, and training teams, indicating a significant impact on how UX work is conducted at Target.

🎓 Skills & Qualifications

Education: While not explicitly stated, a Bachelor's degree in a relevant field such as Human-Computer Interaction (HCI), Computer Science, Design, Operations Management, or a related discipline is typically expected for a Lead role of this nature. Advanced degrees or certifications in AI, UX, or Program Management would be advantageous.

Experience:

• Minimum of 7+ years of progressive experience in UX operations, design program management, or within in-house or agency product design teams.

• Proven track record of leading and scaling operational programs, particularly in complex, evolving technological environments.

• Experience in navigating high ambiguity with confidence, employing structured thinking, robust frameworks, and effective facilitation tools to achieve clarity and stakeholder alignment. Required Skills:

• AI-Enabled Product Development Fluency: Deep understanding of AI-enabled product development, agentic systems, human-in-the-loop workflows, and the evolving implications of AI for UX practice, product delivery, and team operations.

• UX Operations Expertise: Proven ability to define, implement, and optimize operational processes, workflows, and governance for design teams.

• Program Management: Strong capabilities in leading complex programs, managing multiple workstreams, and driving initiatives from ideation to execution.

• Systems Thinking: Ability to consider the full ecosystem of user needs, business processes, and technical constraints to design thoughtful, scalable, and integrated solutions.

• Change Management: Demonstrated skills in guiding teams through significant workflow changes, fostering adoption, and ensuring sustained implementation of new practices.

• Data-Driven Decision Making: Proficiency in leveraging data and insights to inform strategy, measure impact, and drive continuous improvement.

• Stakeholder Management & Communication: Excellent visual, verbal, and written storytelling skills, with the ability to translate complex concepts into clear, persuasive narratives for diverse audiences.

Preferred Skills:

• Experience with AI governance frameworks, ethical AI practices, and accessibility standards within digital product development.

• Familiarity with learning and development methodologies for technical and design skill-building.

• Experience in a large retail or consumer-facing technology organization.

• Knowledge of various UX research methodologies and their integration into operational workflows.

• Familiarity with agile development methodologies and their application to UX operations.

📝 Enhancement Note: The emphasis on "technical fluency in AI-enabled product development" and "systems thinking" suggests a need for candidates who can bridge the gap between cutting-edge AI technology and practical UX execution. The requirement for navigating "high ambiguity" points to a need for self-starters who can build processes from the ground up.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Process Optimization Case Studies: Demonstrations of how you have analyzed existing UX workflows, identified inefficiencies, and implemented new processes to improve speed, quality, or scalability. This should include quantifiable results.

• AI/Agentic Workflow Examples: If possible, showcase any experience or hypothetical frameworks related to operationalizing AI tools or agentic systems within a design or product development context. This could include examples of AI-assisted design, content generation, or testing processes.

• Program Management Artifacts: Examples of project plans, roadmaps, stakeholder alignment documents, or communication strategies used to manage complex design or technology initiatives.

• Governance Frameworks: Any documentation or examples of frameworks you've developed for ensuring quality, consistency, ethical considerations, or accessibility in product development processes.

Process Documentation:

• Workflow Design & Optimization: Evidence of creating detailed process maps, defining roles and responsibilities, and establishing clear handoffs for UX initiatives, particularly those involving new technologies like AI.

• Implementation & Automation: Examples of how you've rolled out new workflows or leveraged tools to automate repetitive tasks within UX operations, enhancing efficiency.

• Measurement & Performance Analysis: Documentation demonstrating how you've defined key performance indicators (KPIs) for UX operations, collected data, and analyzed performance to drive iterative improvements.

📝 Enhancement Note: Given the role's focus on "AI Enablement" and "agentic systems," candidates should prioritize showcasing experience with operationalizing new technologies, managing complex programs involving cross-functional teams, and demonstrating impact through data. Portfolio pieces related to building structure in ambiguous environments will be highly valued.

💵 Compensation & Benefits

Salary Range: $115,000 - $206,000 annually.

📝 Enhancement Note: This salary range is competitive for a Lead-level position in a major metropolitan area like Minneapolis, reflecting the specialized nature of AI enablement and UX operations management. The broad range accounts for variations in experience, specific skills, and the overall candidate profile. Research indicates that for a Lead UX Operations Manager in Minneapolis with 7+ years of experience, this range aligns with industry benchmarks for large, established retail technology companies.

Benefits:

• Comprehensive Health Coverage: Includes medical, vision, dental, and life insurance.

• Retirement Savings: 401(k) plan.

• Employee Perks: Employee discount on Target products.

• Disability Coverage: Short-term and long-term disability insurance.

• Paid Time Off: Paid sick leave, paid national holidays, and paid vacation.

• Additional Programs: Access to financial and education benefits, as well as well-being programs.

Working Hours: This position is designated as Full-Time, typically implying a standard 40-hour workweek. The "Hybrid/Flex for Your Day" arrangement suggests flexibility in how these hours are structured, balancing in-office collaboration with remote work.

📝 Enhancement Note: Target offers a robust benefits package, common for large corporations, emphasizing employee well-being, financial security, and work-life balance. The inclusion of specific disability coverages and comprehensive paid time off is noteworthy.

🎯 Team & Company Context

🏢 Company Culture

Industry: Retail Technology / E-commerce. Target operates as a major retailer with a significant and growing digital presence, investing heavily in technology to enhance guest experiences and internal operations.

Company Size: Large Enterprise (Target is a Fortune 50 company with hundreds of thousands of employees globally). This scale means significant resources, complex processes, and opportunities for broad impact.

Founded: 1902. Target has a long history, providing a stable foundation while continuously innovating, particularly in its digital and technology sectors.

Team Structure:

• Global UX Team: This role sits within Target's Global UX team, a multidisciplinary group comprising design, content, research, and accessibility practitioners.

• Cross-Functional Collaboration: The role requires close partnerships with UX leadership, Product Management, Engineering, Technology departments, and Learning & Development teams. This indicates a matrixed environment where collaboration is key to success.

• Reporting: While not explicitly stated, a "Lead" role typically implies reporting to a Director or Senior Manager within UX Operations or a related GTM/Product Operations function.

Methodology:

• Data-Driven Innovation: Target emphasizes using data to understand guest needs and drive business decisions. This role is expected to be highly data-driven in measuring the impact of AI enablement.

• Structured Program Management: The need to define frameworks, workflows, and operating models suggests a structured approach to implementing new technologies and processes.

• Agile & Experimental: The mention of "pilot programs and experimentation" indicates an agile mindset, encouraging testing and iteration to refine approaches before broad rollout.

Company Website: https://corporate.target.com/

📝 Enhancement Note: Target's culture likely balances its established brand and operational excellence with a forward-thinking approach to technology and digital innovation. The emphasis on "guest joy" and "everyday life" suggests a focus on user-centricity, which aligns well with a UX Operations role.

📈 Career & Growth Analysis

Operations Career Level: Lead. This signifies a senior individual contributor role with significant responsibility for program definition, strategy execution, and cross-functional influence. It's a step above a senior individual contributor and below a management role, focusing on deep specialization and driving operational excellence.

Reporting Structure: The role will report into a senior leader within the UX organization, likely a Director or VP overseeing UX Operations, Design Strategy, or Product Operations. Collaboration will be extensive across various product development functions.

Operations Impact: This role directly impacts the efficiency, scalability, and responsible adoption of AI technologies within Target's digital product development. By enabling UX teams to leverage AI effectively, it contributes to faster innovation, improved product quality, enhanced user experiences, and potentially significant cost efficiencies. The successful operationalization of AI can accelerate Target's digital transformation.

Growth Opportunities:

• Leadership in Emerging Tech: Opportunity to become a recognized expert and leader in the rapidly evolving field of AI in UX operations, shaping future strategies and practices at a major corporation.

• Strategic Influence: Potential to influence the broader product development and technology strategy at Target by demonstrating the value and best practices for AI integration.

• Cross-Functional Mobility: Experience gained in this role can open doors to senior program management, product operations, or even management roles within technology or design organizations at Target or elsewhere.

• Specialization: Deepen expertise in AI governance, human-AI interaction design operations, and scaled agile frameworks for AI-driven development.

📝 Enhancement Note: This Lead role offers a significant opportunity to shape a critical, emerging area within a large, established company. The growth potential is tied to both technical specialization in AI and broader program leadership skills.

🌐 Work Environment

Office Type: Hybrid/Flex for Your Day. This implies a blend of remote work and in-office presence at the Minneapolis headquarters. The expectation is to be onsite when necessary for collaboration, team meetings, and specific project needs, while leveraging remote work for focused individual tasks.

Office Location(s): Primary location is 1000 Nicollet Mall, Minneapolis, MN 55403-2542. This is a central downtown Minneapolis location.

Workspace Context:

• Collaborative Hub: The Minneapolis HQ likely offers modern office spaces designed to facilitate collaboration, team meetings, and cross-functional interactions, essential for a hybrid role.

• Technology-Enabled: As a tech-forward company, expect access to necessary hardware, software, and collaboration tools that support both in-office and remote work.

• Team Interaction: The hybrid model necessitates proactive engagement with team members and stakeholders both virtually and in person, fostering a dynamic work environment.

Work Schedule: Full-time, likely with standard business hours, but with flexibility on how and where those hours are executed day-to-day, depending on role requirements and team needs. The emphasis is on output and impact rather than strict adherence to a 9-to-5 in-office schedule.

📝 Enhancement Note: The "Hybrid/Flex for Your Day" model is designed to offer flexibility while ensuring critical in-person collaboration. Candidates should be comfortable managing their schedules and proactively engaging with colleagues across different work settings.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: Likely a recruiter screen to assess basic qualifications, experience, and cultural fit.

• Hiring Manager Interview: In-depth discussion about your experience, approach to UX operations, AI enablement strategies, and program management skills. Expect behavioral questions.

• Team/Peer Interviews: Interviews with members of the UX, Product, or Engineering teams to assess collaboration style, technical understanding, and ability to integrate into the team.

• Portfolio Review/Presentation: A key stage where you will present case studies from your portfolio, demonstrating your experience in operationalizing processes, managing complex programs, and driving impact, particularly in relation to AI or emerging technologies.

• Final Interview: May involve senior leadership to discuss strategic alignment and overall fit.

Portfolio Review Tips:

• Focus on Impact: For each case study, clearly articulate the problem, your solution, the process you implemented, and the quantifiable results (e.g., efficiency gains, adoption rates, risk reduction).

• Showcase AI Relevance: If you have direct AI experience, highlight it. If not, emphasize transferable skills in operationalizing new technologies, managing complex change, and building scalable frameworks. Frame your experience in terms of building structures for future AI integration.

• Structure Your Narrative: Organize your portfolio logically. Use a consistent format for each case study (e.g., STAR method for behavioral aspects, clear problem/solution/outcome for process examples).

• Demonstrate Systems Thinking: Explain how your operational solutions considered the broader ecosystem of users, technology, and business goals.

• Prepare for Ambiguity: Be ready to discuss how you approach undefined problems and create clarity for teams, a key requirement for this role.

Challenge Preparation:

• Scenario-Based Questions: Anticipate questions about how you would approach specific challenges, such as rolling out a new AI tool to a skeptical team, defining governance for generative AI in UX, or measuring the ROI of AI enablement programs.

• Process Design Exercise: You might be asked to outline a high-level process for a specific AI enablement initiative. Focus on structure, key stakeholders, potential risks, and measurement.

• Stakeholder Alignment: Prepare to discuss strategies for aligning diverse stakeholders (UX, Eng, Product, Legal) around operational changes related to AI.

📝 Enhancement Note: The portfolio review is likely a critical component. Candidates should prepare to articulate their operational methodologies, program management successes, and their strategic thinking regarding AI's role in UX. Demonstrating an ability to build and scale processes in a rapidly evolving tech landscape will be paramount.

🛠 Tools & Technology Stack

Primary Tools:

• Project Management Software: Tools like Jira, Asana, Monday.com, or similar for managing workflows, tracking progress, and facilitating team collaboration.

• Collaboration Platforms: Microsoft Teams, Slack, Google Workspace for day-to-day communication and virtual collaboration.

• Documentation & Knowledge Management: Confluence, Notion, or internal Target systems for creating and storing playbooks, process documentation, and training materials.

• Presentation Software: PowerPoint, Google Slides for creating executive-ready narratives and workshop materials.

Analytics & Reporting:

• Data Analysis Tools: Proficiency in tools that can track program adoption, measure impact, and generate reports. This could include Excel, Google Sheets, or more advanced BI tools if integrated into UX operations reporting.

• Feedback Collection Tools: Survey platforms (e.g., SurveyMonkey, Google Forms) or internal feedback mechanisms to gather input on new workflows and training.

CRM & Automation:

• CRM Systems: While not directly managing CRM, understanding how UX operations integrate with CRM data (e.g., for customer insights) is beneficial.

• Workflow Automation (Potential): Familiarity with tools that can automate aspects of design operations or project management workflows, though specific AI/ML platforms might be managed by other teams.

📝 Enhancement Note: While specific AI tools are not listed, the role implies working with teams who use them. The focus for this role is on the operationalization and enablement around these tools, requiring strong project management, communication, and process design skills rather than deep technical expertise in AI model development itself.

👥 Team Culture & Values

Operations Values:

• Guest Obsession: Underlying all work is a focus on improving the experience for Target's guests, even in operational roles.

• Data-Driven: Decisions are informed by data and measured for impact, a critical aspect for this AI enablement role.

• Efficiency & Scalability: A drive to create processes that are not only effective but also efficient and scalable across a large organization.

• Collaboration: Strong emphasis on working together across diverse teams to achieve common goals.

• Innovation: A culture that encourages exploring new technologies and ways of working, particularly relevant with the AI focus.

Collaboration Style:

• Cross-Functional Integration: Expect to work closely with UX Designers, Researchers, Product Managers, Engineers, and L&D specialists. Proactive communication and relationship-building are key.

• Process Improvement Focus: A culture that values constructive feedback and continuous refinement of workflows and operational practices.

• Knowledge Sharing: Encouragement to share learnings, best practices, and insights, especially around new technologies like AI, to uplift the entire team.

📝 Enhancement Note: Target likely fosters a culture that balances operational rigor with innovative thinking. The emphasis on guest experience and data-driven decisions provides a strong foundation for operational roles, while the AI focus encourages embracing new challenges.

⚡ Challenges & Growth Opportunities

Challenges:

• Navigating AI Ambiguity: The rapid evolution of AI means constant change and uncertainty. Helping teams adapt and build reliable processes in this dynamic environment will be a primary challenge.

• Balancing Innovation with Governance: Implementing AI tools and agentic workflows requires balancing the drive for innovation with the need for appropriate governance, ethics, and quality assurance.

• Cross-Functional Alignment: Gaining buy-in and aligning diverse teams (UX, Eng, Product, Legal) on new operational models and AI adoption strategies can be complex.

• Measuring AI Impact: Quantifying the ROI and effectiveness of AI enablement programs, especially in qualitative areas like design quality or user delight, can be difficult.

Learning & Development Opportunities:

• AI & Emerging Tech Specialization: Deepen expertise in AI trends, tools, and their implications for product development and UX.

• Strategic Program Leadership: Develop advanced skills in strategic planning, change management, and large-scale program execution.

• Cross-Functional Business Acumen: Gain a deeper understanding of how UX operations contributes to broader business objectives within a retail giant.

• Mentorship: Opportunities to learn from senior leaders and potentially mentor junior team members in UX operations and AI enablement.

📝 Enhancement Note: This role presents significant opportunities for growth by tackling complex, forward-looking challenges in AI and operations. The ability to define and lead in an ambiguous, rapidly evolving space is key to both personal and professional development.

💡 Interview Preparation

Strategy Questions:

• "How would you approach defining an operational framework for AI-assisted content generation within a UX team?" (Focus on process steps, stakeholder involvement, quality checks, and iteration.)

• "Describe a time you had to drive adoption of a new workflow or technology across multiple teams with varying levels of technical expertise. What was your strategy?" (Highlight change management, communication, training, and addressing resistance.)

• "How would you measure the success and impact of an AI enablement program for UX designers?" (Discuss relevant KPIs, data collection methods, and qualitative feedback mechanisms.)

• "What are the key ethical considerations and governance needs when operationalizing AI-driven UX tools?" (Demonstrate awareness of bias, transparency, accountability, and user rights.) Company & Culture Questions:

• "Why are you interested in Target and this specific role at the intersection of UX operations and AI enablement?" (Connect your skills and aspirations to Target's mission and the role's unique focus.)

• "How do you see AI transforming the future of UX design and operations in the retail industry?" (Showcase forward-thinking perspectives relevant to Target's business.)

• "Describe your ideal collaborative environment. How would you foster strong relationships with Engineering and Product teams?" (Emphasize proactive communication, understanding different perspectives, and shared goals.) Portfolio Presentation Strategy:

• Structure Your Narrative: For each case study, clearly articulate the problem, your role, the operational solution you designed/implemented, the process involved, and the tangible outcomes/impact.

• Quantify Impact: Use data and metrics whenever possible to demonstrate the effectiveness of your operations initiatives (e.g., "reduced process time by X%", "increased adoption by Y%", "identified Z risks").

• Highlight AI/Tech Adaptability: If direct AI experience is limited, emphasize your ability to operationalize any new technology, manage complex projects, and build scalable frameworks. Frame your experience as foundational for AI integration.

• Showcase Systems Thinking: Explain how your solutions considered the broader ecosystem and integrated with other systems or processes.

• Prepare for Q&A: Be ready to elaborate on specific process details, challenges faced, and lessons learned. Anticipate questions about how you would apply your experience to Target's specific context.

📝 Enhancement Note: Interview preparation should focus on demonstrating strategic thinking, operational design capabilities, a strong understanding of AI's implications, and excellent change management and communication skills. Your portfolio should serve as evidence for these capabilities.

📌 Application Steps

To apply for this operations position:

• Submit your application through the provided Workday link.

• Tailor Your Resume: Highlight experience in UX operations, design program management, AI enablement, process optimization, and cross-functional collaboration. Use keywords from the job description.

• Curate Your Portfolio: Select 2-3 strong case studies that best demonstrate your ability to operationalize complex processes, manage programs, and drive measurable impact, especially in relation to new technologies or ambiguous environments. Prepare to present these clearly and concisely.

• Research Target's Digital Presence: Familiarize yourself with Target's current digital offerings, their approach to technology, and any publicly available information on their AI initiatives. Understand their brand and guest-centric approach.

• Prepare for Scenario-Based Questions: Think through how you would address common challenges in AI enablement, governance, and cross-functional alignment. Practice articulating your thought process.

⚠️ 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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