UX Research Lead

📍 Job Overview

Job Title: UX Research Lead

Company: Citi

Location: New York, New York, United States

Job Type: Full time

Category: UX Research / Design Operations

Date Posted: 2026-08-26

Experience Level: 10+ years

Remote Status: Hybrid

🚀 Role Summary

• Lead end-to-end UX research programs to deliver actionable client intelligence for product prioritization and strategic decision-making within an AI-enabled product environment.

• Architect and implement the future state of UX Research practice, integrating AI-assisted tools, intelligent knowledge systems, and proactive insight generation into the Product Development Lifecycle (PDLC).

• Drive the adoption of advanced research methodologies, including mixed-methods approaches, behavioral analytics, and AI-powered synthesis, to enhance research rigor and scale.

• Serve as a strategic partner to senior leadership across Product, Technology, and Business, influencing product roadmaps and client experience through data-driven insights and compelling communication.

📝 Enhancement Note: This role is positioned at a leadership level, requiring not only execution of research but also strategic vision for transforming the entire UX Research function. The emphasis on AI integration and proactive insight generation indicates a move towards a more data-science-driven and scalable research operation, akin to evolving GTM operations with advanced analytics.

📈 Primary Responsibilities

• Direct and manage the complete research lifecycle, from initial scoping and methodology design to execution, rigorous analysis, synthesis, and impactful stakeholder delivery for assigned product domains.

• Develop, maintain, and continuously reprioritize an annual research roadmap, ensuring alignment with overarching business objectives, product strategies, and critical client experience goals.

• Oversee and deploy a diverse range of mixed-methods research programs, including survey research, in-product intercepts, behavioral analytics, usability studies, longitudinal panels, and regression/driver analysis.

• Act as the primary research liaison to senior stakeholders in Product Management, Technology, Design, and Business leadership, fostering trust through methodological integrity, reproducible findings, and consistent, high-quality output.

• Synthesize complex, multi-source client data into clear, concise, and actionable recommendations that directly influence product roadmaps and strategic design direction.

• Ensure the highest standards of research quality and methodological rigor across all team outputs, establishing robust peer review and documentation protocols for executive and regulatory scrutiny.

• Manage, mentor, and develop junior and mid-level researchers, guiding their professional growth and fostering a high-performing, continuous learning research culture.

• Quantify and communicate the impact of research initiatives, linking insights to concrete downstream product decisions, measuring the ROI of research investments, and providing regular progress reports to leadership.

• Collaborate closely with Data, Analytics, and CX teams to integrate behavioral data and quantitative signals with self-reported research findings, creating a comprehensive and holistic understanding of the client.

• Present research findings and strategic recommendations to diverse audiences, from product squads to Director-level and above, tailoring communication styles to ensure clarity and inspire cross-functional action.

• Define and champion the strategic vision for AI-integrated UX Research at Citi, identifying opportunities for AI tools, intelligent knowledge repositories, and automated synthesis to augment human judgment and research efficiency.

• Lead the design and implementation of a dynamic research intelligence layer, such as a structured, queryable knowledge repository, to make accumulated client insights accessible on-demand across the PDLC, shifting research from reactive to proactive.

• Establish a proactive research cadence, incorporating continuous behavioral data ingestion, rapid weekly insight dissemination, and foundational quarterly studies to ensure client intelligence is generated ahead of business demand.

• Drive the integration of AI-assisted research workflows, including AI-powered synthesis, automated transcript coding, survey quality flagging, longitudinal trend tracking, and concept pre-testing via synthetic panel methodologies.

• Define and implement governance standards for AI use in research, covering confidence weighting, freshness models, PII scanning, hallucination detection, and researcher-in-the-loop review protocols to ensure responsible and auditable AI deployment.

• Partner with Engineering, AI/ML, and Platform teams to architect the necessary technical infrastructure for an intelligent, always-on research knowledge system within Citi's internal environment.

• Establish or scale a UX Research Center of Excellence (CoE), developing frameworks, playbooks, templates, and training materials to enhance research literacy and quality across the broader Design & Product organization.

• Identify and evaluate emerging research methodologies and tools, including generative AI for insight synthesis, automated usability testing platforms, and synthetic user modeling, with a critical focus on methodological validity and responsible AI use.

• Shape the integration of UX Research into Agile and AI-enabled delivery practices, defining clear research touchpoints at each PDLC gate (discovery, definition, design, development, post-launch) to ensure evidence-based decision-making.

• Build organizational research literacy by coaching cross-functional partners, including Product Managers, Designers, and Technology leads, on research fundamentals, insight interpretation, and effective research commissioning.

• Represent the UX Research function at the executive level, advocating for research investment, communicating strategic priorities, and positioning the function as a core driver of business value.

📝 Enhancement Note: The responsibilities highlight a dual focus: operational excellence in current research delivery and strategic innovation in future research capabilities, particularly with AI. This requires a strong understanding of both research methodologies and the operational aspects of scaling and integrating new technologies within a large enterprise, similar to how Revenue Operations must manage existing processes while adopting new automation.

🎓 Skills & Qualifications

Education:

• Bachelor’s/University degree required.

• Master’s degree preferred.

• At least one formal UX Qualification is mandatory. Experience:

• 10+ years of relevant UX research experience.

• Significant experience leading complex, enterprise-scale design projects.

• Proven track record of influencing executive-level stakeholders and driving product strategy with research insights.

• Experience in banking or finance is a strong plus. Required Skills:

• Deep expertise in a wide range of qualitative and quantitative UX research methodologies (e.g., usability testing, in-depth interviews, surveys, diary studies, card sorting, tree testing, behavioral analytics, regression analysis).

• Proven ability to design, execute, and analyze complex, mixed-methods research programs from end-to-end.

• Exceptional communication, presentation, and storytelling skills, with the ability to translate complex data into clear, compelling narratives for diverse audiences, including executive leadership.

• Strong analytical and problem-solving skills, with a keen ability to synthesize insights from multiple data sources into actionable recommendations.

• Experience in mentoring and coaching junior researchers, fostering their professional development and ensuring high-quality research output.

• Familiarity with Agile development methodologies and experience integrating research into Agile workflows.

• Proficiency with professional design and prototyping tools such as Figma, Sketch, Adobe XD, Axure, and InVision.

• Experience in creating and utilizing design systems to ensure consistency and efficiency in product design.

• Foundational understanding of HTML/CSS.

• Aptitude for software development principles or program management. Preferred Skills:

• Experience in defining and scaling a UX Research Center of Excellence (CoE).

• Experience with AI-assisted research tools and methodologies (e.g., AI-powered synthesis, automated coding, generative AI for insight generation).

• Experience architecting or contributing to research intelligence systems or knowledge repositories.

• Experience with statistical analysis and data visualization tools.

• Participation in external UX groups or communities, demonstrating thought leadership and industry engagement.

• Experience with user segmentation, persona development, and journey mapping.

• Knowledge of privacy regulations and ethical considerations in research, especially concerning AI.

📝 Enhancement Note: The inclusion of "HTML/CSS Development Skills" and "Software Development or Program Management Experience" alongside design tool proficiency suggests a need for a researcher who understands the technical underpinnings of digital products and the operational aspects of project delivery, blurring the lines between pure research and product operations.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Demonstrates end-to-end ownership of complex research programs, showcasing strategic planning, methodological rigor, and impactful delivery.

• Includes examples of influencing product roadmaps and strategic decisions with research insights, clearly articulating the link between research findings and business outcomes.

• Features case studies detailing the application of mixed-methods research and the synthesis of qualitative and quantitative data.

• Showcases experience in mentoring junior researchers and fostering a collaborative, learning-oriented research environment.

• Highlights projects involving enterprise-scale design challenges and solutions.

• Provides examples of how research was integrated into Agile or iterative product development lifecycles. Process Documentation:

• Evidence of developing and implementing standardized research methodologies and best practices within a team or organization.

• Documentation of research roadmaps, project scoping frameworks, and stakeholder alignment processes.

• Examples of creating and utilizing research intelligence systems or knowledge repositories for ongoing insight accessibility.

• Documentation related to the governance and ethical implementation of AI tools in research.

• Playbooks, templates, or frameworks developed for a UX Research Center of Excellence (CoE).

📝 Enhancement Note: A strong portfolio for this role must extend beyond individual research projects to demonstrate strategic thinking about the research process itself, its scalability, and its integration with product development and emerging technologies like AI. This aligns with the operational focus of demonstrating process ownership and optimization.

💵 Compensation & Benefits

Salary Range: $192,000 - $288,000 annually.

Benefits:

• Comprehensive Medical, Dental, and Vision coverage.

• 401(k) retirement savings plan.

• Life, Accident, and Disability Insurance.

• Wellness programs to support employee health and well-being.

• Generous Paid Time Off (PTO) packages, including vacation, sick leave, and paid holidays.

• Potential for discretionary and formulaic incentive and retention awards, depending on eligibility.

Working Hours: Full time, typically 40 hours per week.

📝 Enhancement Note: The salary range provided is at the higher end for a Lead UX Researcher, reflecting the strategic leadership, AI integration focus, and significant experience required for this role within a major financial institution. The benefits package is standard for a large corporation, emphasizing comprehensive health, financial, and time-off provisions.

🎯 Team & Company Context

🏢 Company Culture

Industry: Financial Services / Banking. Citi is a global leader in financial services, offering a wide range of banking and financial products and services to consumers, corporations, and governments worldwide. This context implies a highly regulated environment, a strong emphasis on data security, and a need for user experiences that are both sophisticated and trustworthy.

Company Size: Large Enterprise (Citi is a multinational corporation with tens of thousands of employees globally). This means extensive resources, complex organizational structures, and opportunities for significant impact across a vast user base. For operations roles, it suggests established processes but also potential for process improvement and innovation within defined frameworks.

Founded: 1812. Citi has a long and rich history, indicating stability, deep industry expertise, and a culture that has evolved over centuries. This history likely influences its approach to client relationships, risk management, and technological adoption.

Team Structure:

• The UX Research function is part of the broader Design & User Experience organization, indicating a commitment to user-centered design principles.

• This role will likely interact with cross-functional teams including Product Management, Technology (Engineering, AI/ML), Business leadership, and Data/Analytics teams.

• The Lead UX Researcher will manage a team of junior and mid-level researchers, reporting into a higher-level design or UX leadership position. Methodology:

• Emphasis on rigorous, mixed-methods research to generate high-confidence, actionable client intelligence.

• Strategic imperative to evolve research practices through AI-assisted tools and intelligent knowledge systems, moving towards proactive insight generation.

• Integration of research into the Product Development Lifecycle (PDLC), ensuring evidence-based decision-making at all stages.

• Collaboration with Data and Analytics teams to synthesize behavioral and self-reported data for holistic client understanding.

• Adherence to strict governance standards, especially for AI deployment, ensuring methodological integrity and regulatory compliance.

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

📝 Enhancement Note: Citi's scale and industry position mean that the UX Research Lead will operate within a structured environment where process, compliance, and strategic alignment are paramount. The emphasis on AI integration is a forward-looking aspect, suggesting Citi is investing in modernizing its operational capabilities, similar to how many companies are enhancing their Revenue Operations with AI.

📈 Career & Growth Analysis

Operations Career Level: This is a senior leadership role, equivalent to a Director or Senior Manager level within a specialized function. It requires deep domain expertise in UX Research, strategic thinking, and the ability to manage both operational delivery and transformative initiatives. The scope includes leading a team and influencing organizational strategy.

Reporting Structure: The UX Research Lead will likely report to a VP or SVP of Design, User Experience, or Digital Product. They will manage a team of UX Researchers and collaborate extensively with Directors and VPs in Product Management, Technology, and Business Units.

Operations Impact: The role has a direct and significant impact on product development, business strategy, and client experience. By providing high-confidence, actionable client intelligence, the UX Research Lead helps to:

• Prioritize product investments effectively.

• Reduce development risk by ensuring products meet user needs.

• Enhance client satisfaction and loyalty.

• Drive revenue growth through better-informed product decisions.

• Position Citi as a client-centric organization in the competitive financial services landscape.

• Shape the future of how research operates at scale, leveraging AI for greater efficiency and insight. Growth Opportunities:

• Leadership Advancement: Potential to grow into a more senior leadership role within the Design & UX organization, potentially leading a larger function or a broader portfolio of user experience disciplines.

• Strategic Influence: Opportunity to shape the strategic direction of UX Research and its integration across Citi's global digital portfolio, becoming a key advisor to executive leadership.

• Innovation Leadership: Spearhead the adoption of cutting-edge AI technologies and methodologies in research, establishing Citi as a leader in intelligent research operations within the financial sector.

• Cross-Functional Expertise: Develop deep understanding and relationships across Product Management, Technology, and Business, broadening expertise beyond UX Research into broader product and business strategy.

• Mentorship & Team Building: Build and scale a high-performing research team, developing talent and fostering a strong research culture, which is a key component of operational leadership.

📝 Enhancement Note: The growth trajectory for this role is focused on expanding strategic influence and leadership scope, moving from leading a specific function to potentially influencing broader organizational operational strategies and technological adoption.

🌐 Work Environment

Office Type: Hybrid. This role is based in New York but operates in a hybrid model, requiring a balance of in-office collaboration and remote work flexibility.

Office Location(s): 388 Greenwich Street - Tower, New York, New York. This is a major corporate hub for Citi, suggesting a professional and well-equipped office environment.

Workspace Context:

• Collaborative Environment: The hybrid model necessitates effective collaboration tools and practices. Expect a mix of in-person team meetings, workshops, and virtual collaboration sessions. The role requires building strong relationships with distributed teams.

• Operations Tools & Technology: Access to a robust technology stack for research, design, collaboration, and AI-assisted workflows. This includes standard enterprise software, specialized UX research tools, and potentially internal platforms for data analysis and knowledge management.

• Team Interaction: Frequent interaction with the UX research team, as well as close collaboration with Product Managers, Designers, Engineers, and Business stakeholders. This cross-functional interaction is key to operational effectiveness.

Work Schedule: Typically 40 hours per week, with flexibility expected to accommodate research needs and project deadlines. Given the leadership aspect and focus on transformation, there may be periods requiring extended hours.

📝 Enhancement Note: The hybrid nature of the work environment requires strong self-management and excellent communication skills to maintain operational efficiency and team cohesion, mirroring the challenges faced in managing distributed operations teams.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: HR or Recruiter phone screen to assess basic qualifications, experience, and cultural fit.

• Hiring Manager Interview: Deep dive into experience, leadership style, strategic vision for UX Research, and approach to AI integration. Expect questions about managing research teams and influencing stakeholders.

• Portfolio Review & Case Study Presentation: A critical stage where candidates present their work. This will likely involve showcasing 2-3 key projects that demonstrate end-to-end research leadership, strategic impact, and methodological expertise. Be prepared to discuss challenges, solutions, and outcomes.

• Team/Cross-Functional Interviews: Interviews with potential direct reports, peers (e.g., Product Managers, Designers), and senior stakeholders to assess collaboration style, leadership potential, and ability to integrate into the existing team dynamic.

• Executive Interview: Final interview with senior leadership to evaluate strategic alignment, vision for the function, and overall executive presence.

Portfolio Review Tips:

• Strategic Narrative: Frame your portfolio around strategic impact and operational transformation, not just individual research projects. Highlight how your work drove business outcomes and influenced strategy.

• Process Ownership: Showcase your ability to define, manage, and optimize research processes. Include examples of how you've scaled research, improved quality, or integrated new methodologies.

• AI & Innovation: If possible, include examples or discuss your vision for leveraging AI in research. Emphasize responsible implementation and methodological rigor.

• Metrics & ROI: Quantify the impact of your research whenever possible. Discuss how you measured the ROI of research investments and linked insights to tangible business results.

• Stakeholder Management: Demonstrate how you partnered with and influenced Product, Tech, and Business leaders. Use examples of challenging conversations and successful collaborations.

• Mentorship: Include examples of how you've mentored and developed other researchers, showcasing your leadership in building team capabilities.

Challenge Preparation:

• AI in Research Strategy: Be prepared to discuss your vision for integrating AI into UX Research at an enterprise scale, including potential benefits, risks, and governance strategies.

• Research Ops Transformation: Anticipate questions about how you would evolve the UX Research function at Citi, focusing on proactive insights, knowledge management, and research literacy across the organization.

• Complex Problem Solving: Prepare to walk through a complex research challenge you've solved, detailing your methodology, decision-making process, and the impact of your solution.

• Stakeholder Alignment: Practice articulating how you would gain buy-in and manage expectations from various senior stakeholders with differing priorities.

📝 Enhancement Note: The interview process heavily emphasizes strategic leadership, operational transformation (especially with AI), and the ability to present complex work effectively. A strong portfolio demonstrating process ownership and measurable impact is crucial for success.

🛠 Tools & Technology Stack

Primary Tools:

• Research Platforms: Experience with various qualitative and quantitative research tools is essential. This includes tools for surveys (e.g., Qualtrics, SurveyMonkey), usability testing (e.g., UserTesting.com, Lookback), in-depth interviews, and behavioral analytics platforms.

• Design & Prototyping Tools: Proficiency in Figma, Sketch, Adobe XD, Axure, and InVision is explicitly mentioned, indicating close collaboration with design teams and a need to understand the design workflow.

• Collaboration Tools: Standard enterprise collaboration suites such as Microsoft Teams, Slack, and Confluence for communication, documentation, and knowledge sharing.

• AI-Assisted Research Tools: Familiarity with emerging AI tools for tasks like synthesis, coding, transcription analysis, and potentially generative AI for insight generation. The role requires defining how these tools are implemented responsibly.

Analytics & Reporting:

• Behavioral Analytics: Experience with platforms like Google Analytics, Adobe Analytics, or similar tools to analyze user behavior data.

• Data Visualization Tools: Proficiency in tools like Tableau, Power BI, or Looker for creating dashboards and communicating insights effectively to stakeholders.

• Statistical Software: Familiarity with statistical packages (e.g., R, SPSS) for advanced quantitative analysis, regression, and driver analysis.

CRM & Automation:

• CRM Systems: While not a direct CRM role, understanding how UX research insights feed into CRM strategies and client understanding (e.g., Salesforce) is beneficial.

• Project Management Tools: Tools like Jira, Asana, or Trello for managing research projects and workflows, especially within Agile environments.

• Knowledge Management Systems: Experience or understanding of how to build and maintain structured, queryable knowledge repositories for research insights.

📝 Enhancement Note: The technology stack emphasizes a blend of traditional UX research tools, design software, and a strong focus on data analytics, AI-enabled tools, and systems for managing and disseminating research knowledge at scale, reflecting a modern approach to operations and intelligence management.

👥 Team Culture & Values

Operations Values:

• Client Centricity: A deep commitment to understanding and advocating for the client's needs, ensuring that all product decisions are grounded in client intelligence.

• Rigorous Methodological Integrity: Upholding the highest standards of research quality, ethical conduct, and methodological soundness to ensure credibility and trust.

• Data-Driven Decision Making: Championing the use of data and insights to inform strategy, product development, and operational improvements.

• Innovation & Transformation: Embracing change and proactively seeking opportunities to evolve research practices, particularly through the responsible integration of AI and new technologies.

• Collaboration & Partnership: Fostering strong, collaborative relationships across Product, Technology, Design, and Business teams to ensure research insights are effectively integrated and acted upon.

• Impact & Accountability: Focusing on delivering measurable business impact and taking ownership of research outcomes and their downstream effects.

Collaboration Style:

• Cross-Functional Integration: Proactive engagement with Product Managers, Designers, Engineers, and Business leaders to ensure research is embedded throughout the PDLC and that insights are actionable.

• Process Improvement Culture: Encouraging continuous feedback and iterative refinement of research processes and methodologies to enhance efficiency and effectiveness.

• Knowledge Sharing: Establishing practices for sharing research findings, best practices, and lessons learned across the team and with broader organizational partners.

• Mentorship & Empowerment: Creating an environment where team members are empowered to grow, take ownership, and contribute to the collective success of the research function.

📝 Enhancement Note: The culture emphasizes a blend of operational excellence, strategic foresight, and collaborative execution, aligning with the demands of a leading financial institution looking to innovate its research and product development processes.

⚡ Challenges & Growth Opportunities

Challenges:

• Scaling Research with AI: Navigating the complexities of integrating AI into research responsibly, ensuring methodological validity, ethical use, and researcher oversight while realizing efficiency gains. This involves defining governance and managing potential risks like AI hallucinations or bias.

• Transforming a Legacy Function: Evolving established research practices within a large, established organization to be more proactive, data-driven, and AI-integrated. This requires significant change management and stakeholder buy-in.

• Bridging Research and Strategy: Consistently translating research findings into strategic business recommendations that influence executive-level decisions and product roadmaps in a highly competitive financial market.

• Cross-Functional Alignment: Ensuring consistent understanding and application of research insights across diverse teams (Product, Engineering, Marketing, Business) with varying priorities and levels of research literacy.

• Measuring Research Impact: Developing robust frameworks to quantify the ROI of UX research investments and demonstrate its value as a strategic driver rather than a cost center.

Learning & Development Opportunities:

• AI in Research Specialization: Deepen expertise in applying AI and machine learning techniques to UX research, becoming a thought leader in this emerging field within financial services.

• Strategic Leadership Development: Enhance skills in executive communication, strategic planning, organizational change management, and influencing at the highest levels of a global corporation.

• Product & Business Acumen: Gain deeper insights into the financial services industry, product strategy, and business operations, broadening expertise beyond UX Research.

• Center of Excellence Development: Opportunity to build and lead a UX Research Center of Excellence, defining best practices, training programs, and operational frameworks for a large organization.

• Mentorship & Team Building: Develop leadership skills by mentoring and growing a team of talented researchers, fostering a high-performance culture.

📝 Enhancement Note: The role presents significant opportunities for professional growth by tackling complex challenges at the intersection of research, AI, and enterprise operations, positioning the candidate for advanced leadership roles.

💡 Interview Preparation

Strategy Questions:

• "Describe your vision for how AI will transform UX Research in the next 3-5 years, and how you would position Citi to lead in this evolution." (Focus on responsible AI governance, methodological validity, and proactive insight generation.)

• "Walk me through a time you successfully influenced a major product or business strategy using research insights. What was your methodology, who were your stakeholders, and what was the measurable impact?" (Prepare a STAR method response with clear metrics and strategic outcomes.)

• "How would you design and implement a proactive research cadence and an 'always-on' research intelligence layer at Citi? What are the key operational considerations?" (Focus on process design, data integration, and stakeholder buy-in.) Company & Culture Questions:

• "How would you build research literacy and foster a client-centric mindset across non-research teams at Citi?" (Discuss training initiatives, collaboration models, and empowering partners.)

• "Given Citi's long history and scale, how would you balance the need for rigorous, established processes with the drive for innovation and rapid adoption of new research methodologies, especially AI?" (Emphasize change management, piloting new approaches, and demonstrating value.)

• "How do you measure the ROI of UX Research? Provide an example of how you've quantified the impact of your work." (Focus on linking research to product success metrics, cost savings, or revenue generation.) Portfolio Presentation Strategy:

• Strategic Narrative: Begin each case study by clearly stating the business objective and your strategic role in addressing it.

• Process & Methodology: Detail your research process, highlighting why specific methods were chosen and how they ensured rigor and validity, especially in complex environments.

• AI Integration (If Applicable): If you have experience with AI in research, clearly articulate how it was used, its benefits, and any challenges or governance considerations.

• Impact & Outcomes: Quantify results whenever possible. Use metrics related to product adoption, user satisfaction, conversion rates, cost savings, or strategic influence.

• Collaboration & Influence: Describe how you partnered with stakeholders and how your insights led to actionable changes.

• Conciseness & Clarity: Practice delivering your presentation within a set timeframe, ensuring each point is clear, concise, and directly relevant to the role.

📝 Enhancement Note: Interview preparation should focus on demonstrating strategic leadership, operational transformation capabilities, and a deep understanding of how to leverage research, particularly with advanced technologies like AI, to drive measurable business impact within a large enterprise.

📌 Application Steps

To apply for this UX Research Lead position:

• Submit your application through the provided Workday link.

• Tailor your resume: Emphasize leadership experience, strategic impact of research, experience with complex enterprise projects, and any relevant AI/transformation initiatives. Use keywords from the job description such as "UX Research Lead," "AI-enabled product," "mixed-methods research," "stakeholder management," and "product development lifecycle."

• Curate your portfolio: Select 2-3 impactful case studies that clearly showcase your end-to-end research leadership, strategic influence, and ability to drive business outcomes. Ensure these examples highlight your experience with complex projects, methodology, and any experience with scaling research or integrating new technologies. Be prepared to present these case studies concisely and effectively.

• Prepare for AI/Transformation discussions: Research Citi's current initiatives in AI and digital transformation. Be ready to articulate your vision for integrating AI into UX Research at Citi, focusing on ethical considerations, operational scalability, and measurable benefits.

• Research Citi's business: Understand Citi's position in the financial services industry, its digital offerings, and its strategic priorities. This will help you tailor your responses and demonstrate your understanding of the business context.

⚠️ 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.