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: Operations Management / UX Operations / AI Enablement

Date Posted: 2026-08-14

Experience Level: 5-10 years

Remote Status: Hybrid/Flex for Your Day

🚀 Role Summary

• Lead the operational strategy for the design, development, testing, governance, and scaling of AI-enabled and agentic experiences within Target's digital ecosystem.

• Define and operationalize new workflows, tools, and practices to enhance AI fluency and adoption across UX teams.

• Develop operating models for human-and-agent collaboration, emphasizing crucial elements like human judgment, review, escalation, accessibility, ethics, and quality assurance.

• Drive program management for pilot initiatives, experimentation, and adoption of agentic workflows, capturing learnings and identifying risks.

📝 Enhancement Note: This role is highly specialized, focusing on the intersection of User Experience (UX) operations and the rapidly evolving field of Artificial Intelligence (AI) enablement. The "AI Enablement" aspect signifies a focus on empowering UX teams to effectively leverage AI technologies in their design and development processes. The emphasis on "agentic experiences" suggests a focus on AI systems that can act autonomously or semi-autonomously, requiring robust operational frameworks for responsible implementation.

📈 Primary Responsibilities

• Define and lead the operational strategy for agentic building within UX, establishing clear frameworks, workflows, and integration models for the responsible design, testing, and scaling of AI-enabled and agentic experiences.

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

• Spearhead pilot programs and experimentation efforts to test new agentic workflows, meticulously capture learnings, identify potential risks, and translate successful patterns into reusable practices, playbooks, and actionable guidance for broader adoption.

• Measure the adoption rates and effectiveness of new tools and workflows, leveraging data analytics and qualitative feedback to continuously refine enablement strategies and demonstrably showcase the impact of operational improvements.

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

📝 Enhancement Note: The responsibilities highlight a proactive, strategic, and hands-on approach. The emphasis on "defining frameworks," "developing operating models," and "leading pilot programs" indicates a need for individuals who can build structure in an ambiguous environment. The requirement to "measure adoption and effectiveness" points to a data-driven approach, while "partnering with L&D" underscores the importance of strong communication and training skills.

🎓 Skills & Qualifications

Education: While not explicitly stated, a Bachelor's or Master's degree in a related field such as Human-Computer Interaction (HCI), Design, Computer Science, Operations Management, or a related discipline is typically expected for a Lead role of this nature.

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

Required Skills:

• UX Operations Expertise: Deep understanding of the operational processes, workflows, and best practices within User Experience (UX) teams.

• AI-Enabled Product Development: Strong technical fluency and practical knowledge of AI-enabled product development, agentic systems, and human-in-the-loop workflows.

• Change Management: Proven ability to drive adoption of new tools, processes, and ways of working within technical and design teams, managing resistance and fostering buy-in.

• Systems Thinking: Capacity to analyze complex systems, understand interdependencies, and design scalable, holistic solutions considering user needs, business processes, and technical constraints.

• Data-Driven Decision Making: Consistent use of data and insights to inform strategy, guide decisions, measure impact, and optimize operational performance.

• Stakeholder Alignment & Facilitation: Demonstrated ability to navigate high ambiguity, align diverse stakeholders, and use structured thinking and facilitation tools to bring clarity to complex initiatives.

• Storytelling & Communication: Excellent visual, verbal, and written communication skills, with the ability to translate complex technical and operational concepts into clear narratives, recommendations, and executive-ready presentations.

• Builder Mindset: A proactive, hands-on approach with a curiosity for emerging technology and the ability to translate ambiguity into practical, usable solutions for teams.

Preferred Skills:

• Program Management: Experience managing complex, cross-functional programs from inception to completion, with a focus on operational efficiency and impact.

• AI Governance & Ethics: Familiarity with AI governance frameworks, ethical considerations in AI development, and best practices for responsible AI deployment.

• Learning & Development Design: Experience in designing and delivering training programs, workshops, or learning materials, particularly in technical or design domains.

• Accessibility Standards: Understanding of accessibility principles and their integration into AI-enabled product development workflows.

• Agile Methodologies: Experience working within Agile development environments and adapting operations to agile cadences.

📝 Enhancement Note: The required skills strongly emphasize a blend of operational acumen, technical understanding of AI, and soft skills critical for driving change and collaboration. The "builder mindset" and "navigating high ambiguity" are key indicators of the type of proactive problem-solver Target is seeking. The preferred skills suggest that candidates with a background in formal program management or L&D design will have a competitive edge.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Operational Process Design: Showcase examples of how you have designed, documented, and optimized workflows for design or product development teams, particularly those involving new technologies or complex processes.

• AI/Agentic Workflow Implementation: Include case studies or examples demonstrating your experience in implementing or operationalizing new tools or methodologies related to AI, machine learning, or agentic systems. Highlight the process you followed, challenges overcome, and outcomes achieved.

• Cross-Functional Collaboration Frameworks: Present examples of frameworks or models you've developed to facilitate collaboration between UX, Product, Engineering, and other technical teams, especially in the context of emerging technologies.

• Metrics & Impact Demonstration: Provide evidence of how you have defined, tracked, and reported on key operational metrics (e.g., adoption rates, efficiency gains, risk reduction) and demonstrated the business impact of your initiatives.

Process Documentation:

• Workflow Design & Optimization: Examples of detailed workflow diagrams, process maps, and SOPs you have created to standardize and improve operational processes within a UX or product development context. Focus on clarity, scalability, and efficiency.

• Implementation & Automation Strategies: Document instances where you have led the implementation of new operational systems or tools, or identified opportunities for automation within existing processes.

• Measurement & Performance Analysis: Showcase your approach to defining KPIs, collecting performance data, analyzing results, and using insights to drive iterative improvements in operational processes.

📝 Enhancement Note: For a role focused on operationalizing new technologies like AI, a portfolio demonstrating the ability to create structure, drive adoption, and measure impact is crucial. Candidates should highlight projects where they have successfully translated complex technical concepts into practical operational guidelines and shown tangible results.

💵 Compensation & Benefits

Salary Range: $115,000 - $206,000 USD per year.

Benefits:

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

• Life Insurance: Coverage to provide financial security for beneficiaries.

• Retirement Savings: 401(k) plan to support long-term financial planning.

• Employee Discount: A significant perk for Target team members.

• Disability Insurance: Short-term and Long-term disability coverage to provide income protection.

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

• Additional Programs: Access to various other benefits including financial and educational support, and well-being programs.

Working Hours: Standard full-time hours, likely around 40 hours per week, with a Hybrid/Flex for Your Day work arrangement.

📝 Enhancement Note: The provided salary range is competitive for a Lead Operations Manager role with specialized AI enablement responsibilities in a major metropolitan area like Minneapolis. The extensive benefits package reflects Target's commitment to employee well-being and financial security. The "Hybrid/Flex for Your Day" arrangement suggests a need for self-management and the ability to work effectively both remotely and in the office.

🎯 Team & Company Context

🏢 Company Culture

Industry: Retail. Target is a leading multinational retailer, known for its wide range of consumer products and strong brand presence.

Company Size: Large enterprise (Target is a Fortune 50 company with hundreds of thousands of employees globally). This scale implies significant complexity, established processes, and opportunities for broad impact.

Founded: 1902. With over a century of history, Target has a deep-rooted understanding of the retail landscape and a history of innovation.

Team Structure:

• UX Team: The Global UX team is composed of design, content, research, and accessibility practitioners. This role sits within or closely collaborates with this team.

• AI Enablement Focus: This specific role operates within the AI Enablement function, acting as a bridge between emerging AI capabilities and the practical application by UX teams.

• Cross-functional Collaboration: The role explicitly requires close partnerships with UX, Product, Engineering, Technology, and Learning & Development (L&D) teams, indicating a highly collaborative and integrated work environment.

Methodology:

• Data-Driven Insights: A core methodology for Target, emphasizing the use of data to inform strategy, decisions, and measure impact across all functions, including operations.

• Process Optimization & Workflow Design: The role is fundamentally about defining and refining operational processes and workflows to enhance efficiency and adoption of new technologies.

• Experimentation & Iteration: Leading pilot programs and experimentation suggests an iterative approach to developing and refining operational models and practices.

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

📝 Enhancement Note: Target's culture is generally characterized by a focus on guest experience, operational excellence, and community impact. For this role, the emphasis on innovation in AI, coupled with a strong emphasis on data and structured processes, will be key cultural touchstones. The large company size means that operational changes can have a massive impact but also require navigating established structures.

📈 Career & Growth Analysis

Operations Career Level: This is a "Lead" position, indicating a senior individual contributor role with significant responsibility for strategy, program execution, and influencing cross-functional teams. It suggests a level of expertise and autonomy beyond a standard manager.

Reporting Structure: While not explicitly detailed, a Lead UX Operations Manager typically reports to a Director or Senior Director within UX Operations, Design Operations, or a related Product Development Operations function. They would likely manage programs and initiatives rather than direct reports, though this could vary.

Operations Impact: The role has a direct impact on Target's digital experience by enabling UX teams to effectively and responsibly leverage AI. This translates to improved product development velocity, enhanced user experiences, and the successful adoption of cutting-edge technologies, ultimately contributing to Target's competitive edge in the retail market.

Growth Opportunities:

• Specialization in AI Operations: Deepen expertise in operationalizing AI/ML within large enterprises, becoming a subject matter expert in AI governance, ethics, and enablement.

• Leadership in Operations Strategy: Transition into roles with broader strategic oversight of operations for larger product portfolios or digital domains within Target.

• Cross-Functional Leadership: Potentially move into broader program or product management roles, leveraging operational expertise to drive strategic initiatives across different departments.

• Mentorship & Team Development: As a lead, there's an opportunity to mentor junior team members and contribute to the development of the broader operations function.

📝 Enhancement Note: This role offers a unique opportunity to be at the forefront of AI adoption within a major retail organization. The growth path is likely focused on deepening specialized operational expertise in a high-demand area or leveraging that expertise for broader strategic leadership within Target's extensive digital organization.

🌐 Work Environment

Office Type: Hybrid/Flex for Your Day work arrangement. This means the role requires a balance of in-office presence at the Minneapolis HQ and remote work, depending on the needs of the role, team, and tasks.

Office Location(s): 1000 Nicollet Mall, Minneapolis, MN 55403-2542. This is Target's corporate headquarters, suggesting a dynamic, professional, and collaborative office environment.

Workspace Context:

• Collaborative Hub: The Minneapolis HQ is designed to foster collaboration, likely featuring open workspaces, meeting rooms, and common areas conducive to team interaction.

• Technology-Rich Environment: As a leading retailer, Target invests heavily in technology. Expect access to modern tools, infrastructure, and support for digital work.

• Cross-Functional Interaction: The Hybrid/Flex arrangement and the nature of the role will necessitate regular interaction with colleagues from UX, Product, Engineering, and L&D, both in person and virtually.

Work Schedule: Standard full-time hours (approx. 40 hours/week) with flexibility inherent in the Hybrid/Flex model, allowing for a balance between onsite and remote work based on daily operational needs and team requirements.

📝 Enhancement Note: The Hybrid/Flex arrangement is a key feature, requiring individuals to be comfortable managing their schedule and work location dynamically. The Minneapolis HQ location means access to a vibrant city and a well-established corporate campus.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A recruiter or hiring manager will review applications and conduct an initial phone screen to assess basic qualifications and cultural fit.

• Hiring Manager Interview: Deeper dive into experience, operational philosophy, and understanding of AI enablement. Expect questions about navigating ambiguity and driving change.

• Panel Interviews: Likely involve interviews with key stakeholders from UX, Product, and Engineering. These sessions will focus on your ability to collaborate, influence, and solve complex operational challenges related to AI.

• Portfolio Presentation/Case Study: A critical stage where you will present your work, focusing on specific examples of operationalizing new technologies, managing complex programs, and demonstrating impact through data.

• Final Round/Executive Interview: May involve senior leadership to assess strategic alignment and overall fit within Target's leadership principles.

Portfolio Review Tips:

• Curate for Impact: Select 2-3 of your most impactful projects that directly relate to operationalizing new technologies, managing complex programs, or driving significant process improvements.

• Structure Your Narrative: For each project, clearly articulate the problem, your role and approach, the operational frameworks or solutions you implemented, the challenges faced, and the measurable outcomes (quantified with data where possible).

• Highlight AI/Agentic Relevance: If you have specific experience with AI, ML, or agentic systems, ensure these projects are prominently featured and showcase your technical fluency and understanding of the operational implications.

• Demonstrate Change Management: Show how you successfully guided teams through adoption, addressed resistance, and fostered a positive change environment.

• Prepare for Q&A: Be ready to discuss your decisions, methodologies, and how your experience translates to Target's specific challenges in AI enablement.

Challenge Preparation:

• Operational Design Scenario: Be prepared for a hypothetical scenario where you need to outline an operational framework for a new AI capability. Focus on structure, governance, adoption strategy, and measurement.

• Stakeholder Management Discussion: Practice articulating how you would align diverse stakeholders (e.g., engineers, designers, product managers) around a new operational initiative.

• Data Analysis & Reporting: Be ready to discuss how you would define and track key operational metrics for AI enablement and present findings to leadership.

📝 Enhancement Note: The interview process for a Lead role at Target will be rigorous, with a strong emphasis on practical experience, strategic thinking, and the ability to demonstrate impact through a portfolio. The portfolio review is likely a pivotal component, requiring candidates to showcase their operational leadership and AI enablement capabilities.

🛠 Tools & Technology Stack

Primary Tools:

• Project & Portfolio Management Software: Tools like Jira, Asana, Monday.com, or similar for tracking initiatives, workflows, and team progress.

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

• Documentation Tools: Confluence, Notion, or internal knowledge bases for creating and maintaining playbooks, process documents, and best practices.

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

Analytics & Reporting:

• Business Intelligence (BI) Tools: Tableau, Power BI, Looker, or similar for data analysis, dashboard creation, and performance reporting.

• Web Analytics Platforms: Google Analytics, Adobe Analytics, or similar for understanding digital user behavior and campaign performance.

• Data Warehousing/Lakehouse: Familiarity with how data is stored and accessed (e.g., Snowflake, Databricks) may be beneficial for data-driven insights.

CRM & Automation:

• CRM Systems: While not directly a CRM role, understanding CRM principles and data flow (e.g., Salesforce, Microsoft Dynamics) is often relevant for understanding the broader digital ecosystem.

• Workflow Automation Tools: Experience with tools that can automate operational tasks or business processes, potentially including low-code/no-code platforms.

• AI/ML Platforms & Tools: Familiarity with common AI/ML development platforms, libraries (e.g., TensorFlow, PyTorch), and MLOps concepts will be advantageous.

📝 Enhancement Note: While specific tools are not listed, a Lead UX Operations Manager in AI Enablement would be expected to be proficient with a range of project management, collaboration, documentation, and data analysis tools. Crucially, familiarity with AI/ML platforms and concepts is essential for this specialized role.

👥 Team Culture & Values

Operations Values:

• Guest Obsession: Aligning all operational efforts with enhancing the Target guest experience.

• Operational Excellence: A drive for efficiency, accuracy, and continuous improvement in all processes.

• Data-Driven Decision Making: Relying on insights and metrics to guide strategy and measure success.

• Innovation & Agility: Embracing new technologies and adapting quickly to evolving market and technical landscapes, particularly in AI.

• Collaboration & Inclusion: Fostering a diverse and inclusive environment where all voices are heard and valued, promoting teamwork across functions.

Collaboration Style:

• Cross-Functional Partnership: Proactive engagement with UX, Product, Engineering, and L&D to ensure seamless integration of AI enablement strategies.

• Transparent Communication: Open and honest sharing of information, progress, and challenges with all stakeholders.

• Feedback-Oriented: Encouraging and providing constructive feedback to drive continuous improvement in processes and team performance.

• Empowerment & Enablement: A focus on equipping teams with the knowledge, tools, and processes they need to succeed with AI technologies.

📝 Enhancement Note: Target's values are deeply embedded in its culture. For this role, the emphasis on innovation (AI), data, and collaboration will be paramount. The ability to foster a culture of learning and adaptation around AI will be key to success.

⚡ Challenges & Growth Opportunities

Challenges:

• Rapidly Evolving AI Landscape: Keeping pace with the fast-changing advancements in AI and agentic technologies and translating them into stable, scalable operational practices.

• Navigating Ambiguity: Establishing clear frameworks and processes in a new and often undefined domain like AI enablement for UX.

• Driving Adoption: Encouraging widespread adoption of new AI tools and workflows across diverse UX teams with varying levels of technical expertise.

• Balancing Innovation with Governance: Ensuring that AI adoption is both innovative and responsible, adhering to ethical guidelines, accessibility standards, and quality assurance.

Learning & Development Opportunities:

• AI/ML Specialization: Opportunity to become a deep subject matter expert in AI operations, governance, and enablement within a large enterprise context.

• Strategic Program Leadership: Develop skills in shaping and leading high-impact, cross-functional strategic initiatives.

• Industry Engagement: Potential to engage with industry conferences, research, and communities focused on AI, UX, and operations.

• Mentorship & Knowledge Sharing: Opportunities to mentor emerging talent and contribute to building Target's internal expertise in AI enablement.

📝 Enhancement Note: This role presents significant challenges due to the cutting-edge nature of AI enablement, but these challenges are directly tied to substantial growth opportunities for individuals passionate about shaping the future of digital product development.

💡 Interview Preparation

Strategy Questions:

• "How would you approach defining an operational framework for a new AI capability within a large UX organization, considering governance, adoption, and scalability?" (Focus on structured thinking, phased approach, stakeholder involvement, and metrics.)

• "Describe a time you had to drive adoption of a new, complex technology or workflow across multiple teams. What was your strategy, and what were the key challenges and outcomes?" (Highlight change management skills, communication, and data-driven adjustments.)

• "How do you balance the need for rapid innovation with the necessity for robust governance, ethics, and accessibility in AI-enabled product development?" (Emphasize proactive risk assessment, establishing clear guidelines, and integrating checks and balances.) Company & Culture Questions:

• "Based on your understanding of Target, how would you ensure that our AI enablement efforts align with the company's guest obsession and operational excellence values?" (Research Target's values and connect them to AI operationalization.)

• "How would you foster a collaborative environment for AI enablement between UX, Product, and Engineering teams?" (Discuss communication strategies, shared goals, and understanding different team perspectives.)

• "How do you measure the success and impact of UX operations initiatives, particularly those related to emerging technologies?" (Prepare to discuss specific KPIs, data analysis methods, and ROI demonstration.) Portfolio Presentation Strategy:

• The "AI Enablement" Arc: Structure your portfolio presentation to show a clear journey: identifying a need/opportunity, designing an operational solution (framework, workflow), implementing it (pilot, rollout), measuring its impact, and iterating based on learnings.

• Quantify Everything Possible: For each case study, provide metrics on adoption rates, efficiency gains, time savings, risk reduction, or any other quantifiable impact. If exact numbers aren't available, use estimates with clear assumptions.

• Show, Don't Just Tell: Use visuals (diagrams, screenshots, charts) to illustrate your processes, workflows, and data.

• Connect to Target's Context: Throughout your presentation, subtly link your experiences and solutions to Target's industry, scale, and stated values.

📝 Enhancement Note: Interview preparation should focus on demonstrating a blend of strategic thinking, practical operational execution, strong communication, and a deep understanding of AI's implications for UX. The portfolio is your primary tool to prove your capabilities.

📌 Application Steps

To apply for this operations position:

• Submit your application through the provided link on the Target Careers portal.

• Tailor Your Resume: Highlight your 7+ years of experience in UX operations, design program management, or product design. Emphasize keywords related to AI enablement, agentic systems, operational strategy, change management, and cross-functional collaboration.

• Craft a Compelling Portfolio: Prepare a portfolio that showcases 2-3 key projects demonstrating your ability to operationalize new technologies, manage complex programs, and drive measurable impact. Focus on AI-related work if possible, detailing your process, challenges, and outcomes.

• Prepare for the Interview Process: Familiarize yourself with Target's values and culture. Practice answering strategy, behavioral, and situational questions, especially those related to AI enablement, change management, and stakeholder alignment. Be ready to present your portfolio effectively.

• Research AI Enablement Trends: Understand current trends in AI development, agentic systems, and their operational implications for design and product teams. This will demonstrate your proactive engagement with the field.

⚠️ 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.