Senior Product Designer - Data

📍 Job Overview

Job Title: Senior Product Designer - Data Company: GWI Location: London, United Kingdom Job Type: Permanent, Full-Time Category: Product Design / User Experience Date Posted: October 16, 2025 Experience Level: Mid-Senior (5-10 years) Remote Status: Hybrid (1 day per week in office)

🚀 Role Summary

• Lead the end-to-end design process for GWI's internal data-focused products and tools, ensuring a user-centric approach.
• Collaborate closely with Product Managers, Engineers, and Market Researchers within an Agile framework to deliver exceptional user journeys.
• Drive design discovery, prototyping, experimentation, and user testing to inform product iterations and improvements.
• Champion and evolve the company's design system for enhanced scalability and consistency across internal platforms.
• Integrate AI and LLM-powered workflows into the design process, focusing on intuitive interfaces for data configuration and processing.

📝 Enhancement Note: This role is specifically focused on internal-facing tools and data-heavy interfaces, requiring a designer adept at translating complex data interactions into user-friendly experiences. The emphasis on AI/LLM fluency indicates a forward-thinking approach to product design within the data analytics space.

📈 Primary Responsibilities

• Take ownership of the complete design lifecycle for internal-facing data products, from initial research and ideation through to final implementation and iteration.
• Partner with cross-functional teams, including product management, engineering, and market research, to define and deliver seamless, impactful user experiences.
• Plan and execute design discovery initiatives, including user interviews, surveys, and competitive analysis, to deeply understand internal user needs and pain points.
• Develop and refine the company's design system to ensure scalability, maintainability, and adherence to brand guidelines across all internal platforms.
• Conduct rigorous user research and usability testing, translating qualitative and quantitative feedback into actionable design improvements.
• Design for emerging AI and LLM-powered workflows, focusing on prompt engineering, automated insights, and intuitive data configuration interfaces.
• Create and maintain high-fidelity prototypes, wireframes, and user flows to effectively communicate design concepts and gather stakeholder feedback.
• Continuously iterate on designs based on user feedback, performance data, and A/B testing results to optimize user productivity and satisfaction.
• Collaborate with engineering teams to ensure accurate and efficient implementation of designs, providing clear specifications and supporting throughout the development process.
• Contribute to a high-tempo, agile environment, demonstrating flexibility and comfort with continuous change and evolving priorities.

📝 Enhancement Note: The responsibilities highlight a blend of strategic design leadership and hands-on execution, with a strong emphasis on data-driven decision-making and the integration of emerging AI technologies within internal tools.

🎓 Skills & Qualifications

Education:

• Bachelor's or Master's degree in Design, Human-Computer Interaction, Computer Science, or a related field, or equivalent practical experience.

Experience:

• 5-10 years of professional experience in product design, with a significant focus on UX/UI design and user-centered methodologies.
• Proven track record of designing and leading the user-centered delivery of internal and data-heavy interfaces that enhance user productivity.
• Demonstrated experience in designing for complex systems at scale, ensuring elegant and scalable solutions.

Required Skills:

• User-Centered Design (UCD): Deep understanding and practical application of UCD principles to create intuitive and effective user experiences.
• UX/UI Design Expertise: Strong proficiency in creating wireframes, user flows, mockups, and interactive prototypes using industry-standard design tools.
• Data-Heavy Interface Design: Hands-on experience designing interfaces for data configuration, processing, and analysis across varied systems.
• AI and LLM Fluency: Familiarity and experience designing for emerging workflows powered by Large Language Models, prompt engineering, and automated insights.
• UX Research & Usability Testing: Proven ability to plan, conduct, and interpret qualitative and quantitative user research and usability testing.
• Responsive Design: Expertise in designing for various devices and screen sizes, ensuring a consistent user experience.
• Collaboration: A proactive and collaborative mindset, with a strong ability to work effectively with cross-functional teams (Product, Engineering, Data).
• Problem-Solving: Excellent analytical and problem-solving skills, with the ability to tackle complex design challenges.

Preferred Skills:

• Design Systems: Experience in building, evolving, and maintaining scalable design systems.
• Agile Methodologies: Familiarity with Agile development processes and cross-functional squad collaboration.
• Prototyping Tools: Proficiency in advanced prototyping tools (e.g., Figma, Sketch, Adobe XD, InVision).
• Performance Data Analysis: Ability to interpret design performance metrics and user analytics to inform design decisions.
• Visual Design: Strong aesthetic sensibility and attention to detail in visual design execution.

📝 Enhancement Note: The emphasis on AI/LLM fluency and data-heavy interfaces suggests that candidates with prior experience in B2B SaaS, data analytics platforms, or internal tooling will be highly regarded. The "5-10 years" estimate for experience level is derived from the "Senior" title and the scope of responsibilities described.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• End-to-End Case Studies: Showcase at least 2-3 comprehensive case studies demonstrating ownership of the design process from problem definition to successful implementation and iteration.
• Data-Focused Projects: Include examples of designing for complex data, internal tools, or systems where user productivity and efficient data handling were key objectives.
• AI/LLM Integration Examples: If available, present any projects involving AI, machine learning, or LLM-driven features to demonstrate your fluency in this emerging area.
• Design System Contributions: Highlight any experience contributing to or leading the development of design systems, showcasing your understanding of scalability and consistency.
• Impact & Metrics: Clearly articulate the problem, your solution, and the measurable impact of your designs, using quantifiable data (e.g., increased user efficiency, reduced error rates, improved task completion times).

Process Documentation:

• Research & Discovery: Demonstrate your approach to user research, problem framing, and defining design requirements.
• Ideation & Prototyping: Illustrate your process for generating ideas, creating wireframes, and developing interactive prototypes.
• Testing & Iteration: Show how you conduct usability testing, analyze feedback, and iterate on designs to achieve optimal outcomes.
• Collaboration & Handoff: Provide examples of how you collaborate with engineering and product teams, including your design handoff process.

📝 Enhancement Note: For this role, the portfolio should strongly emphasize the ability to translate complex data interactions and AI-driven functionalities into intuitive and efficient user experiences for internal users. Quantifiable results demonstrating improved productivity or data handling will be crucial.

💵 Compensation & Benefits

Salary Range:

• Based on industry benchmarks for Senior Product Designers with 5-10 years of experience in London, UK, the estimated salary range is £65,000 - £90,000 per annum. This range can vary based on the candidate's specific experience, skills, and interview performance.

Benefits:

• Generous Leave: 25 days of annual leave, plus Christmas office closures.
• Health & Wellness: Comprehensive health cash plan, with family coverage options.
• Financial Security: 4% pension plan matching to support long-term savings.
• Work-Life Balance: Flexitime options, early Friday finishes, and attractive work-from-anywhere policies.
• Family Support: Carer days, enhanced parental leave policies, and family-focused flexibility.
• Professional Development: Accredited learning programs, commitment to mental and physical health, reward and recognition programs, and clear career development opportunities.
• Community Engagement: Opportunities to participate in DE&I initiatives, volunteer days, 100% donation matching for charitable contributions, and payroll giving options.

Working Hours:

• Standard working hours are approximately 40 hours per week, with the flexibility offered through flexitime and early Friday finishes.

📝 Enhancement Note: The salary range is an estimation for a Senior Product Designer role in London, UK, considering GWI's industry (Data/Market Research) and the hybrid work model. Benefits are comprehensive and reflect a strong commitment to employee well-being and professional growth, aligning with typical offerings for senior roles in tech-forward companies.

🎯 Team & Company Context

🏢 Company Culture

Industry: Data & Market Research Technology Company Size: GWI is a growing company, likely falling into the 201-500 employee range based on typical growth trajectories for established SaaS companies. This size offers a balance of established processes and opportunities for individual impact. Founded: 2009, GWI has a solid history in modernizing consumer research, evolving into a leading global platform for consumer insights.

Team Structure:

• Agile Squads: The Senior Product Designer will work within an Agile, cross-functional squad, fostering close collaboration with Product Managers, Engineers, and Market Researchers.
• Product Design Leadership: This role reports to a Staff Product Designer and works in conjunction with the Director of Product Design, providing clear reporting lines and mentorship opportunities.
• Cross-Functional Collaboration: A strong emphasis is placed on collaboration between design, engineering, product, and data teams to drive holistic product development and ensure user needs are met.

Methodology:

• User-Centricity: GWI prioritizes understanding and addressing the needs of its users, both internal and external, through continuous research and feedback loops.
• Data-Driven Decision Making: Designs are informed by performance data, user analytics, and A/B testing to ensure effectiveness and optimize user journeys.
• Agile & Iterative Development: The team operates within an Agile framework, embracing iterative design and continuous improvement to adapt to market needs and user feedback.
• Design System Evolution: A commitment to maintaining and scaling a robust design system ensures consistency and efficiency across products.

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

📝 Enhancement Note: GWI's position as a modern consumer research platform suggests a dynamic and data-informed culture. The emphasis on "extraordinary people" and "making an extraordinary impact" points to a high-performance environment where individual contributions are valued and encouraged.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned as a Senior Product Designer, indicating a level of expertise and autonomy. It requires the ability to lead design initiatives, mentor more junior designers (though not explicitly stated, it's typical for senior roles), and influence product strategy. The focus on internal tools and data suggests a specialized but critical area of product development.

Reporting Structure: The Senior Product Designer will report to a Staff Product Designer and work closely with the Director of Product Design. This structure offers opportunities for mentorship, skill development, and exposure to higher-level design strategy and decision-making. Collaboration within agile squads means direct interaction with product and engineering leads.

Operations Impact: The role has a direct impact on the productivity and efficiency of internal teams by designing the tools they use daily. By creating elegant solutions for complex data systems, this designer will improve how GWI's own employees configure, process, and analyze data, ultimately contributing to the company's overall operational effectiveness and ability to deliver insights to its clients. The focus on AI/LLM also positions this role at the forefront of technological adoption within the company.

Growth Opportunities:

• Specialization: Deepen expertise in designing complex data interfaces, AI/LLM-driven products, and internal tooling, becoming a subject matter expert.
• Leadership: Potential to grow into a Staff or Lead Product Designer role, taking on more strategic responsibilities, managing design projects, and mentoring other designers.
• Cross-Functional Influence: Develop stronger strategic partnerships with Product Management and Engineering, influencing product roadmaps and company-wide design standards.
• Learning & Development: Access to accredited learning programs, mentorship, and opportunities to attend industry events to stay abreast of emerging design trends and technologies.

📝 Enhancement Note: The "Senior" title implies a strong foundation in design principles and a proven ability to deliver impactful work. Growth opportunities are likely tied to expanding design leadership, strategic influence, and specialization within data-centric and AI-powered product design.

🌐 Work Environment

Office Type: GWI employs a hybrid work model, requiring 1 day per week in their London office. This suggests a modern office environment designed for collaboration and focused work, complementing remote flexibility. Office Location(s): London, United Kingdom. Specific office details (e.g., address, amenities) are not provided but are expected to be easily accessible within the city.

Workspace Context:

• Hybrid Collaboration: The 1-day-in-office requirement facilitates in-person collaboration, team building, and ideation sessions, while the majority of the week can be spent working remotely, offering flexibility.
• Technology & Tools: Access to industry-standard design software, collaboration platforms, and potentially GWI's own data insights platform for research and inspiration.
• Team Interaction: Opportunities to engage with a diverse and international team, fostering a rich exchange of ideas and perspectives within the design and product communities.

Work Schedule: The standard work week is approximately 40 hours, with significant flexibility offered through "Flexitime" and "early Friday finishes." This allows individuals to manage their schedules effectively, balancing work demands with personal life, which is crucial for sustained productivity in design roles.

📝 Enhancement Note: The hybrid model is designed to balance the benefits of in-office collaboration with the flexibility of remote work. This setup is common in the tech and data industries, catering to professionals who value autonomy and work-life balance.

📄 Application & Portfolio Review Process

Interview Process:

• Preliminary Phone Call: An initial screening with the Talent Team to assess basic qualifications, cultural fit, and interest in the role.
• Hiring Manager Video Interview: A deeper dive into your experience, design philosophy, and approach to problem-solving, likely focusing on your most relevant projects.
• Hiring Panel Video Interview & Presentation: This stage typically involves presenting a portfolio or a specific case study to a panel of peers and stakeholders. It will assess your design skills, communication abilities, and strategic thinking. A "values conversation" will follow to ensure alignment with GWI's core principles.

Portfolio Review Tips:

• Curate for Relevance: Select case studies that best showcase your experience with data-heavy interfaces, internal tools, and ideally, any work involving AI/LLMs. Highlight your end-to-end process.
• Tell a Story: Structure your case studies to clearly articulate the problem, your design process, your specific contributions, the challenges you overcame, and the quantifiable outcomes. Focus on the "why" behind your decisions.
• Showcase Process: Detail your research methodologies, ideation techniques, prototyping efforts, and how you incorporated user feedback and data.
• Highlight Impact: Quantify the impact of your designs whenever possible (e.g., improved efficiency, user satisfaction scores, adoption rates). Use metrics that resonate with business objectives.
• Prepare for Presentation: Practice presenting your portfolio concisely and engagingly, anticipating questions about your design choices and problem-solving approach. Be ready to discuss your collaboration style.

Challenge Preparation:

• Anticipate Design Challenges: Be prepared for potential design exercises or case studies that may require you to analyze a problem, propose solutions, and outline a design approach, possibly involving data interpretation or AI integration.
• Focus on Process: Even if a full design isn't required, be ready to articulate your thought process, how you'd approach research, and what factors you'd consider.
• Demonstrate Collaboration: Think about how you would engage with hypothetical Product Managers or Engineers during a design challenge, highlighting your communication and teamwork skills.

📝 Enhancement Note: The interview process emphasizes a thorough evaluation of design skills, strategic thinking, and cultural fit. The portfolio presentation is a critical component, so candidates should meticulously prepare relevant case studies and practice their delivery.

🛠 Tools & Technology Stack

Primary Tools:

• Design & Prototyping: Figma (highly probable, as it's an industry standard for collaborative design), Sketch, Adobe XD, InVision.
• User Research & Testing: Tools like UserTesting.com, Maze, Lookback, or internal survey tools for qualitative and quantitative feedback.
• Collaboration & Project Management: Jira, Confluence, Asana, Trello for task management and workflow tracking within Agile squads.

Analytics & Reporting:

• Data Visualization: Tableau, Power BI, or similar tools for understanding and presenting performance data.
• Web/Product Analytics: Google Analytics, Mixpanel, Amplitude for tracking user behavior and product performance.

CRM & Automation:

• CRM: Salesforce (common in B2B SaaS), HubSpot, or similar for understanding customer data and sales processes.
• Automation: While not directly a designer's tool, understanding how automation impacts user workflows within internal tools is beneficial.

📝 Enhancement Note: Proficiency in collaborative design tools like Figma is essential. Familiarity with analytics platforms and project management tools will be beneficial for understanding data-driven design processes and working within agile teams.

👥 Team Culture & Values

Operations Values:

• Think Big: Encourages ambitious goals and innovative solutions, aligning with the role's focus on designing for complex systems and emerging technologies.
• Ask Why: Fosters a culture of critical thinking, continuous improvement, and a deep dive into understanding problems before solutioning, crucial for complex data and AI designs.
• Show Respect: Emphasizes inclusivity, collaboration, and valuing diverse perspectives at all levels, integral for effective cross-functional teamwork and DE&I initiatives.
• Make an Impact: Drives a results-oriented mindset, where individual contributions are recognized and contribute to the company's overall success and growth.

Collaboration Style:

• Cross-Functional Integration: Design is deeply integrated with Product and Engineering, operating within Agile squads to ensure seamless workflow and shared ownership.
• Feedback-Driven: A culture that values constructive feedback, both giving and receiving, to continuously refine designs and processes.
• Knowledge Sharing: Encourages open communication and sharing of best practices, particularly within the design community and across teams.

📝 Enhancement Note: GWI's values of "Think Big," "Ask Why," and "Show Respect" directly inform the expected collaborative and problem-solving approach for designers. Candidates should be prepared to demonstrate how they embody these principles in their work.

⚡ Challenges & Growth Opportunities

Challenges:

• Designing for Complexity: Translating intricate data structures, configurations, and AI-generated insights into intuitive and user-friendly interfaces for internal users.
• Balancing User Needs and Technical Constraints: Effectively integrating AI/LLM capabilities while managing technical feasibility, performance, and scalability.
• Driving Adoption of New Technologies: Encouraging internal users to adopt new workflows and features powered by AI and advanced data processing.
• Evolving Design System: Continuously updating and scaling the design system to accommodate new features, data types, and AI integrations.

Learning & Development Opportunities:

• AI/LLM Design Specialization: Opportunity to become a leader in designing AI-powered internal tools, a highly in-demand skill.
• Data Visualization Mastery: Enhance skills in presenting complex data in clear, actionable ways for internal stakeholders.
• Leadership Development: Potential to mentor junior designers and take on more complex project leadership roles within the product design team.
• Industry Exposure: Access to learning programs and potentially industry conferences to stay updated on the latest trends in UX design, data visualization, and AI.

📝 Enhancement Note: The challenges presented are inherent to working with cutting-edge technology and complex internal systems. GWI offers opportunities to develop specialized skills in high-demand areas like AI/LLM design.

💡 Interview Preparation

Strategy Questions:

• Design Process for Data Tools: "Walk us through your process for designing a complex data configuration tool for internal users. How would you ensure ease of use and prevent errors?" (Focus on user research, iterative design, and error handling).
• AI Integration in Design: "How would you approach designing an interface that leverages LLMs to provide automated insights or streamline data analysis for our internal teams?" (Focus on prompt design, presenting AI outputs, and user trust).
• Design System Evolution: "Describe a time you contributed to or led the evolution of a design system. What challenges did you face, and how did you ensure scalability and adoption?" (Focus on governance, component design, and documentation).

Company & Culture Questions:

• Understanding GWI's Data: "Based on your understanding of GWI, what do you see as the biggest design challenges for internal data tools?" (Demonstrate research and critical thinking about the company's domain).
• Values Alignment: "How do you embody GWI's values of 'Think Big,' 'Ask Why,' and 'Show Respect' in your design work and team interactions?" (Prepare specific examples).
• Impact Measurement: "How do you measure the success of your designs, particularly for internal productivity tools?" (Focus on metrics like efficiency, task completion, user satisfaction, adoption rates).

Portfolio Presentation Strategy:

• Highlight Data & AI Focus: Select 2-3 projects that clearly demonstrate your ability to design for data-heavy interfaces and, if possible, AI/LLM applications.
• Structure for Clarity: Present each case study with a clear problem statement, your role and responsibilities, your process, key design decisions and rationale, and quantifiable outcomes.
• Emphasize Collaboration: Be prepared to discuss how you worked with engineers, product managers, and other stakeholders.
• Showcase Iteration: Demonstrate how user feedback and data informed your design iterations.
• Be Ready for Questions: Anticipate probing questions about your design choices, trade-offs made, and how you handle ambiguity.

📝 Enhancement Note: Preparation should focus on showcasing relevant domain experience (data, internal tools, AI), demonstrating a robust design process, and articulating how your work aligns with GWI's values and business objectives.

📌 Application Steps

To apply for this Senior Product Designer position:

• Submit your application through the provided Greenhouse link: https://job-boards.greenhouse.io/globalwebindex/jobs/8214612002
• Curate Your Portfolio: Select and refine case studies that most strongly showcase your experience with data-heavy interfaces, internal tools, and ideally, AI/LLM integration. Ensure each case study clearly articulates the problem, your process, your specific contributions, and measurable impact.
• Tailor Your Resume: Highlight keywords and experiences directly relevant to product design, UX/UI, data interfaces, AI/LLM, user research, design systems, and Agile methodologies. Quantify achievements where possible.
• Prepare for Interviews: Practice articulating your design philosophy, walking through your portfolio, and preparing answers to common interview questions related to design strategy, collaboration, and problem-solving. Research GWI's products and company values.
• Understand the Hybrid Model: Be ready to discuss your comfort and experience with hybrid work environments and how you maintain productivity and collaboration in such a setup.

⚠️ 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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