Data Marketplace - UX Experience Specialist

📍 Job Overview

Job Title: Data Marketplace - UX Experience Specialist

Company: Barclays

Location: Canary Wharf, 1 Churchill Place, London, England, United Kingdom

Job Type: Full time

Category: User Experience (UX) / Product Design (GTM Operations Enablement)

Date Posted: 2026-08-11

Experience Level: 5-10 years

Remote Status: On-site

🚀 Role Summary

• This role is pivotal in bridging the gap between product strategy and user-facing execution within Barclays' Data Marketplace initiative, requiring a strong focus on translating complex data and technology roadmaps into intuitive, user-centered digital experiences.

• The specialist will leverage advanced UX design principles and AI-powered tools to rapidly prototype, iterate, and validate user flows and experience concepts, ensuring alignment with business objectives and user needs.

• Key responsibilities include deep collaboration with Product Owners, technical teams, and business stakeholders to define, refine, and deliver high-quality user experiences for data products.

• The position demands a proactive approach to understanding and integrating emerging technologies and UX best practices, particularly within the context of data governance, metadata management, and AI-driven data consumption patterns.

📝 Enhancement Note: While the job title is "UX Experience Specialist," the context provided (Data Marketplace, collaboration with technical teams, understanding data products, AI consumption) strongly suggests a role that is deeply integrated into Go-To-Market (GTM) operations enablement, specifically focusing on how users access and utilize data assets. This role requires a blend of UX expertise and an understanding of data product strategy and delivery. The "Assistant Vice President Expectations" section indicates a mid-to-senior level role with potential for leadership or significant individual contribution. The mention of "risk and controls" and "business acumen" points towards a need for operational rigor.

📈 Primary Responsibilities

• Collaborate closely with Product Owners and cross-functional technical teams (engineering, data science, product management) throughout the entire product development lifecycle to translate product roadmaps into seamless, effective, and accessible digital solutions for the Data Marketplace.

• Utilize expertise in user experience design, including persona-based workflows and customer journey mapping, to design end-to-end digital experiences that meet user needs and business objectives within complex data and technology ecosystems.

• Leverage AI-powered design tools to rapidly generate, iterate, and validate high-fidelity prototypes, user flows, and experience concepts at speed and scale, ensuring efficient development cycles.

• Partner directly with users across Business Units, including senior business leaders, to understand their needs, pain points, and desired outcomes, translating these insights into intuitive and impactful Data Marketplace experiences.

• Develop and implement assessments and continuous testing methodologies to ensure the ongoing quality, performance, and user satisfaction of the Data Marketplace products, identifying opportunities for optimization.

• Monitor product performance and user feedback to identify opportunities for optimization that align with Barclays' performance standards and strategic goals.

• Stay abreast of the latest industry technology trends, UX best practices, and emerging technologies (e.g., AI/Agentic consumption patterns) to evaluate and adopt new approaches for improving product development and delivery within the data domain.

• Contribute to the development and implementation of the product strategy and vision, communicating them effectively to relevant stakeholders and the development team.

• Gather and prioritize product requirements and features based on business value, feasibility, and security considerations, ensuring they are well-defined and measurable.

• Identify ways to mitigate risk and develop new policies/procedures in support of the control and governance agenda related to the Data Marketplace.

📝 Enhancement Note: The primary responsibilities were synthesized from the "Purpose of the role," "Accountabilities," and "Join Barclays as a UX Experience Specialist" sections, with a specific focus on the operational aspects of delivering and improving a data product. The emphasis on collaboration, user engagement, rapid prototyping, and continuous improvement aligns with GTM operations enablement.

🎓 Skills & Qualifications

Education:

• A Bachelor's degree in Human-Computer Interaction (HCI), Design, Computer Science, or a related field is typically expected for a UX Specialist role. Equivalent practical experience in a relevant UX or product design capacity will also be considered. Experience:

• 5-10 years of progressive experience in User Experience (UX) design, digital product design, or a closely related field, with a proven track record of designing and delivering complex digital products.

• Demonstrated experience in leveraging AI-powered design tools for rapid prototyping, iteration, and validation of user experience concepts.

• Experience working within complex data and technology ecosystems, understanding the nuances of data products, data governance, metadata management, and semantic layer concepts.

• Proven experience in partnering directly with users, including senior business leaders, to gather requirements, understand pain points, and translate them into effective user experiences.

• Experience collaborating effectively with cross-functional teams, including Product Owners, Engineers, Data Teams, Business Engagement Leads, and Leadership stakeholders.

• Comfort and experience working within agile methodologies and terminology to enable fast, iterative product development. Required Skills:

• UX Design Expertise: Deep understanding of user-centered design principles, information architecture, interaction design, and visual design.

• Prototyping & Wireframing: Proficiency with industry-standard UX tools for creating wireframes, interactive prototypes, and high-fidelity mockups (e.g., Figma, Sketch, Adobe XD).

• AI-Powered Design Tools: Ability to leverage AI tools for rapid design generation, iteration, and validation.

• User Research & Analysis: Skill in conducting user research, analyzing user feedback, and translating insights into actionable design improvements.

• Stakeholder Management: Excellent ability to communicate, influence, and collaborate with diverse stakeholders, including senior leadership, business units, and technical teams.

• Agile Methodologies: Familiarity with agile frameworks (Scrum, Kanban) and experience working in agile development environments.

• Data Product Understanding: Foundational knowledge of data products, data governance, metadata management, and semantic layer concepts is crucial.

Preferred Skills:

• Data Marketplace Platforms: Experience with Data Marketplace platforms and understanding of AI/Agentic consumption patterns.

• Customer Journey Mapping: Expertise in mapping complex customer journeys and designing persona-based workflows.

• Risk & Controls Acumen: Understanding of risk management principles and control frameworks, particularly as they apply to data products and digital platforms.

• Strategic Thinking: Ability to contribute to product strategy, align design efforts with business goals, and identify opportunities for innovation.

• Change & Transformation: Experience working in environments undergoing significant change or transformation.

• Business Acumen: Strong understanding of business objectives and how UX design can drive value.

📝 Enhancement Note: The qualifications were compiled by merging the explicit requirements from the "To be successful as a UX Experience Specialist" and "Some other highly valued skills" sections with the general expectations for a UX Specialist at an Assistant Vice President level within a large financial institution, considering the "Assistant Vice President Expectations" and the mention of "risk and controls," "business acumen," and "digital and technology" skills.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Demonstrated End-to-End UX Design Process: Showcase a comprehensive portfolio that illustrates your entire UX design process, from initial user research and problem definition through to ideation, prototyping, user testing, and final implementation.

• Data-Centric Case Studies: Include at least one to two detailed case studies focused on designing experiences for data-related products or platforms, highlighting how you translated complex data concepts or user needs into intuitive interfaces.

• AI Tool Integration Examples: Provide examples or case studies that demonstrate your ability to leverage AI-powered design tools for rapid prototyping, iteration, or concept validation.

• Metrics and Impact Demonstration: For each case study, clearly articulate the business objectives, user problems addressed, your specific contributions, and the measurable impact of your design solutions (e.g., improved user engagement, reduced task completion time, increased data adoption).

Process Documentation:

• Workflow Design and Optimization: Be prepared to discuss how you approach designing and optimizing user workflows within complex systems, particularly for data discovery, access, and utilization.

• System Implementation Standards: Articulate your understanding of how UX designs are translated into functional systems, including considerations for technical feasibility, integration with existing platforms (like data marketplaces), and adherence to security protocols.

• Measurement and Performance Analysis: Explain your methods for measuring the success of UX designs post-launch, including defining key performance indicators (KPIs) and how you use data analytics to inform iterative improvements.

📝 Enhancement Note: Portfolio and process documentation requirements are inferred based on the role's emphasis on a structured UX process, use of advanced tools, collaboration with technical teams, and the need to demonstrate business impact, especially within a regulated industry like finance. The focus on "data products" and "AI consumption" necessitates portfolio examples that reflect these specific domains.

💵 Compensation & Benefits

Salary Range:

• Based on industry benchmarks for a UX Experience Specialist role with 5-10 years of experience in London, particularly within the financial services sector at an Assistant Vice President level, the estimated salary range is £75,000 - £100,000 per annum. This range accounts for the seniority of the role, the specialized skills required, and the cost of living in London. Benefits:

• Comprehensive Health Coverage: Access to private medical insurance, dental, and vision plans.

• Retirement Savings Plan: Generous company pension scheme (e.g., defined contribution plan) with employer matching.

• Performance-Based Bonus: Potential for annual bonuses tied to individual and company performance.

• Generous Paid Time Off: Competitive annual leave allowance, plus bank holidays and potential for additional leave.

• Professional Development: Opportunities for training, certifications, conferences, and continuous learning relevant to UX, data, and financial technology.

• Employee Assistance Program (EAP): Confidential support services for personal and work-related challenges.

• Flexible Working Considerations: While the role is on-site, Barclays typically offers some flexibility within business needs, such as hybrid arrangements or flexible start/end times where applicable.

Working Hours:

• Standard full-time working hours are typically 40 hours per week. The role is based on-site in London, with potential for some flexibility in start and end times, subject to team and business requirements.

📝 Enhancement Note: Salary is estimated based on typical UK financial sector compensation for a mid-to-senior UX role in London, factoring in the "Assistant Vice President Expectations." Benefits are standard for large financial institutions in the UK. Working hours are derived from the "Full time" employment type and the common practice of a 40-hour week.

🎯 Team & Company Context

🏢 Company Culture

Industry: Financial Services / Banking. Barclays is a global financial services provider with a long-standing history, offering a wide range of products and services including retail banking, corporate banking, investment banking, and wealth management.

Company Size: Large enterprise (likely 10,000+ employees globally). Barclays is a major multinational corporation.

Founded: 1690 (as a gold and silver assaying business), formally established as Barclays Bank PLC in 1896. This long history signifies stability, deep-rooted expertise, and a commitment to long-term vision.

Team Structure:

• The UX Experience Specialist will likely be part of a dedicated Product Design or User Experience team, potentially embedded within a larger Product Management or Technology division focused on the Data Marketplace.

• This team will report through a hierarchy that culminates in senior leadership (e.g., Head of Product, Chief Technology Officer), with direct reporting to a Product Owner or UX Lead.

• Collaboration will be extensive, involving close partnerships with Product Owners, Data Scientists, Engineers, Business Analysts, Risk & Control teams, and potentially Marketing or Business Development for the Data Marketplace. Methodology:

• Data-Driven Design: Emphasis on using data analytics, user feedback, and A/B testing to inform design decisions and measure impact.

• Agile Product Development: Adoption of agile frameworks for iterative development, rapid prototyping, and continuous delivery of product features.

• User-Centricity: A core focus on understanding and meeting the needs of internal and external users through thorough research and design.

• Cross-Functional Collaboration: Encouraging close working relationships between design, product, engineering, and business stakeholders to ensure alignment and successful product outcomes.

Company Website: https://home.barclays/

📝 Enhancement Note: Company context is derived from the Barclays brand, its industry, and general knowledge of large financial institutions. The "Assistant Vice President Expectations" section heavily influences the inferred team structure and methodology, suggesting a structured, process-oriented environment with a focus on collaboration and impact.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned at a mid-to-senior individual contributor level, potentially equivalent to an Assistant Vice President (AVP) within Barclays' hierarchy. It demands a high degree of autonomy, specialized expertise, and the ability to influence product direction and strategy. The role is critical for enabling the successful go-to-market and adoption of data products.

Reporting Structure: The UX Experience Specialist will likely report to a Product Owner or a UX/Design Lead. They will work collaboratively with cross-functional teams, including engineering, data science, product management, and business stakeholders, requiring strong influencing skills to navigate these relationships.

Operations Impact: The role has a direct impact on the success of the Data Marketplace by ensuring it is intuitive, user-friendly, and effectively meets the needs of its users. This directly influences data adoption rates, the realization of business value from data assets, and the overall efficiency of data-driven decision-making across the organization. By improving user experience, the role contributes to operational efficiency and potentially revenue generation through better data utilization.

Growth Opportunities:

• Specialization: Deepen expertise in UX for data products, AI-driven interfaces, or specific areas of financial technology.

• Leadership Track: Progress into a UX Lead or Design Manager role, overseeing a team of UX professionals and guiding design strategy for larger initiatives.

• Product Management: Transition into a Product Owner or Product Manager role, taking on broader responsibility for product strategy, roadmap development, and business outcomes.

• Cross-Functional Mobility: Move into related roles within Product Management, Data Strategy, or Digital Transformation within Barclays.

• Continuous Learning: Access to extensive training, certifications, and opportunities to stay at the forefront of UX and data technology trends.

📝 Enhancement Note: The career and growth analysis is based on the "Assistant Vice President Expectations" and the general career progression paths for UX professionals in large, established companies. The role's focus on data products and GTM enablement highlights its strategic importance.

🌐 Work Environment

Office Type: Barclays operates modern, corporate office spaces designed for collaboration and productivity. The Canary Wharf location suggests a professional, dynamic environment situated within a major financial hub.

Office Location(s): 1 Churchill Place, Canary Wharf, London, United Kingdom. This is a prime business district, offering excellent transport links and access to amenities.

Workspace Context:

• Collaborative Spaces: The office likely includes a mix of open-plan work areas, private offices, meeting rooms, and collaborative zones to support diverse working styles and team interactions.

• Technology Enabled: Expect access to high-performance workstations, advanced design software, reliable internet connectivity, and communication tools essential for a UX role in a tech-forward organization.

• Team Interaction: Opportunities for regular face-to-face interaction with colleagues, fostering a strong sense of team cohesion and enabling effective real-time problem-solving and knowledge sharing.

Work Schedule:

• The role is on-site, requiring the specialist to be present in the Canary Wharf office. While a standard 40-hour work week is expected, Barclays often supports some degree of flexibility in daily start and end times, provided business needs and team collaboration are maintained. This allows for managing personal schedules while ensuring core working hours for team synchronization.

📝 Enhancement Note: The description of the work environment is based on typical expectations for a major financial institution's London headquarters, emphasizing collaboration, technology, and the professional setting of Canary Wharf. The on-site requirement is explicitly stated.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening (Recruiter): A phone call with a Barclays recruiter to assess basic qualifications, interest in the role, and cultural fit.

• Hiring Manager Interview: A more in-depth discussion with the hiring manager to explore experience, technical skills, and understanding of UX principles within a data context.

• Portfolio Review & Presentation: A dedicated session where candidates present their portfolio, showcasing 1-2 key case studies. This is a critical stage to demonstrate UX process, problem-solving, and impact. Expect to discuss your role, decisions, and outcomes in detail.

• Technical/Skills Assessment: This could involve a practical exercise, a design challenge, or a more technical Q&A focused on UX methodologies, AI tools, and data product understanding.

• Team/Stakeholder Interviews: Interviews with potential colleagues and cross-functional stakeholders (e.g., Product Owner, Engineer, Business Lead) to assess collaboration style, communication, and ability to integrate into the team.

• Final Interview/Panel: A concluding interview, potentially with a senior leader, to confirm fit and address any remaining questions.

Portfolio Review Tips:

• Structure Your Narrative: For each case study, clearly outline the problem, your approach, your specific contributions (especially if it was a team project), the solutions you designed, and the measurable results achieved.

• Highlight Data & AI Focus: Emphasize projects that demonstrate your experience with data products, complex systems, or the application of AI/advanced tools.

• Showcase Process, Not Just Polish: While polished visuals are good, focus on demonstrating your thought process, how you navigated challenges, and how you made design decisions based on research and data.

• Quantify Impact: Whenever possible, use metrics and data to demonstrate the business value and user impact of your design work.

• Be Ready for Deep Dives: Anticipate questions about your design choices, alternatives considered, trade-offs made, and how you would handle specific scenarios relevant to a data marketplace.

Challenge Preparation:

• Understand the Data Marketplace Context: Research Barclays' Data Marketplace (if public information is available) or general concepts of data marketplaces in finance.

• Practice Problem-Solving: Be prepared for hypothetical scenarios related to user onboarding, data discovery, access control, or data visualization within a marketplace context.

• Articulate Your UX Process: Practice explaining your UX methodology clearly and concisely, with specific examples.

• Demonstrate Collaboration: Prepare examples of how you have successfully collaborated with technical and business teams to achieve project goals.

📝 Enhancement Note: This section is built by inferring a standard, multi-stage interview process common in large financial institutions for specialized roles, with a strong emphasis on portfolio presentation and practical application of UX skills in a data-centric environment.

🛠 Tools & Technology Stack

Primary Tools:

• UX Design & Prototyping Software: Figma, Sketch, Adobe XD, InVision, Axure RP (proficiency in at least one is expected; Figma is increasingly common).

• AI-Powered Design Tools: Specific tools may vary, but expect familiarity with AI assistants for design generation, rapid prototyping, or concept exploration.

• Collaboration Platforms: Microsoft Teams, Slack, Jira, Confluence (for project management, communication, and documentation).

Analytics & Reporting:

• Web/Product Analytics: Google Analytics, Adobe Analytics, Pendo, or similar tools for tracking user behavior and product performance.

• Data Visualization Tools: Tableau, Power BI (for understanding and potentially presenting data insights related to user behavior).

CRM & Automation:

• CRM Systems: While not a direct CRM role, understanding how UX impacts customer-facing platforms is beneficial. Familiarity with Salesforce or similar is a plus.

• Integration Tools: Awareness of how UX designs integrate with backend systems and APIs.

📝 Enhancement Note: The tools listed are standard for a UX Specialist role, with an emphasis on AI-powered design tools as explicitly mentioned in the job description, and an understanding of data analytics and collaboration tools relevant to a tech-focused financial environment.

👥 Team Culture & Values

Operations Values:

• Respect, Integrity, Service, Excellence, Stewardship: These are the core Barclays Values. For a UX Specialist, this translates to:

  • Respect: Valuing diverse user perspectives and team member contributions.
  • Integrity: Maintaining ethical design practices, ensuring data privacy and security in user experiences.
  • Service: Designing with a deep focus on meeting user needs and delivering value through the Data Marketplace.
  • Excellence: Striving for high-quality, intuitive, and innovative user experiences.
  • Stewardship: Taking responsibility for the long-term impact and sustainability of the digital products designed.

• Empower, Challenge, Drive (Barclays Mindset):

  • Empower: Designing interfaces that empower users to easily access and utilize data.
  • Challenge: Proactively questioning assumptions and seeking innovative UX solutions.
  • Drive: Focusing on delivering impactful results and driving adoption of the Data Marketplace.

Collaboration Style:

• Cross-Functional Integration: A highly collaborative approach, working closely with Product Owners, engineers, data scientists, and business stakeholders to co-create solutions.

• Iterative Feedback Loops: Embracing a culture of continuous feedback, where designs are shared early and often for input and refinement.

• Data-Informed Decision Making: A collaborative environment where design decisions are supported by user research, data analytics, and business insights.

📝 Enhancement Note: Team culture and values are directly extracted from the provided text ("Barclays Values," "Barclays Mindset") and interpreted through the lens of a UX role in a financial services context, emphasizing ethical design, user focus, and collaborative problem-solving.

⚡ Challenges & Growth Opportunities

Challenges:

• Complexity of Data Ecosystems: Navigating and designing intuitive interfaces for complex, interconnected data systems and platforms requires deep understanding and continuous learning.

• Balancing User Needs with Business/Technical Constraints: Effectively translating user desires into feasible solutions that meet regulatory requirements, security standards, and technical limitations within a large financial institution.

• Driving Adoption of New Technologies: Encouraging users to adopt new data products and AI-driven consumption patterns requires exceptional user experience design and effective change management.

• Rapid Technological Evolution: Keeping pace with advancements in AI, UX tools, and data technologies to ensure the Data Marketplace remains cutting-edge and competitive.

Learning & Development Opportunities:

• Advanced UX Specialization: Opportunities to develop deep expertise in areas like AI-driven UX, data visualization for complex datasets, or specialized financial UX.

• Industry Conferences & Certifications: Support for attending relevant UX, data, and fintech conferences, and pursuing professional certifications.

• Mentorship Programs: Access to mentorship from senior UX leaders, product managers, or technology executives within Barclays.

• Cross-Functional Exposure: Opportunities to learn about different aspects of the financial services industry, data governance, and product strategy through close collaboration.

📝 Enhancement Note: Challenges are inferred from the nature of working with data marketplaces, AI, and within a large, regulated financial institution. Growth opportunities are standard for senior roles in such environments, focusing on specialization, leadership, and continuous learning.

💡 Interview Preparation

Strategy Questions:

• "Describe your process for designing an end-to-end user experience for a complex data product or platform. How do you incorporate user research, prototyping, and testing?" (Focus on demonstrating a structured, user-centric UX process).

• "How would you approach designing an interface for a Data Marketplace that needs to cater to both technical data scientists and business analysts with varying levels of data literacy?" (Highlight your ability to segment users and design for different needs).

• "Discuss your experience leveraging AI-powered design tools. Can you provide an example of how you used such tools to accelerate your design process or validate concepts?" (Be prepared to speak technically and demonstrate practical application).

• "How do you balance user needs with business objectives and technical feasibility when designing a product? Can you share an example where you had to make trade-offs?" (Showcase your strategic thinking and problem-solving skills). Company & Culture Questions:

• "What do you know about Barclays and our Data Marketplace initiative? Why are you interested in this specific role?" (Research Barclays, its values, and the financial services industry).

• "How do you ensure your designs align with company values like Integrity and Excellence, especially in a regulated environment?" (Connect your UX approach to Barclays' core values).

• "Describe a time you had to influence stakeholders with differing opinions on a design decision. How did you achieve alignment?" (Demonstrate your communication and persuasion skills). Portfolio Presentation Strategy:

• Tell a Story: For each case study, frame it as a narrative: the challenge, your role, your process, the solution, and the outcome.

• Focus on Your Contribution: Clearly articulate what you did, even if it was a team effort. Use "I" statements when discussing your specific actions and decisions.

• Show, Don't Just Tell: Use visuals (mockups, user flows, prototypes) to illustrate your points. Be ready to walk through interactive prototypes.

• Quantify Impact: Present data and metrics to demonstrate the success of your designs. If exact metrics aren't available, discuss the intended impact and how you would measure it.

• Be Prepared for Q&A: Anticipate detailed questions about your design rationale, alternatives considered, and how you would handle specific scenarios related to data marketplaces and AI.

📝 Enhancement Note: Interview preparation advice is tailored to the role's specific requirements, emphasizing UX methodology, AI tool usage, data product context, stakeholder management, and Barclays' corporate values.

📌 Application Steps

To apply for this operations enablement position:

• Submit your application through the Barclays careers portal via the provided URL.

• Portfolio Customization: Tailor your resume and portfolio to prominently feature projects demonstrating your expertise in UX design for data products, AI-powered tools, complex systems, and cross-functional collaboration. Highlight any experience with financial services or data marketplaces.

• Resume Optimization: Ensure your resume clearly articulates your 5-10 years of relevant experience, using keywords from the job description such as "UX Design," "Data Marketplace," "AI-powered Design Tools," "Prototyping," "Stakeholder Management," and "Agile." Quantify achievements where possible.

• Interview Preparation: Practice explaining your UX process, preparing detailed case studies for your portfolio review, and researching Barclays' values and the Data Marketplace context. Be ready to discuss your approach to user research, design iteration, and measuring impact.

• Company Research: Thoroughly research Barclays' mission, values, and recent initiatives, especially within their technology and data divisions. Understand their strategic priorities to articulate how your UX expertise can contribute to their objectives.

⚠️ 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.