Senior UX/UI Designer Data

📍 Job Overview

Job Title: Senior UX/UI Designer - Data

Company: knowmad mood

Location: Madrid, Community of Madrid, Spain

Job Type: Full-time

Category: UX/UI Design, Data Products

Date Posted: April 14, 2026

Experience Level: 5-10 Years

Remote Status: Fully Remote

🚀 Role Summary

• Design and deliver intuitive, user-centered interfaces for data-driven products, bridging the gap between complex analytics and business needs.

• Collaborate closely with data scientists, analysts, and business stakeholders to translate analytical requirements into actionable and impactful user experiences.

• Champion and evolve UX best practices and standards specifically for data products within a digital transformation consultancy.

• Drive the definition, ideation, validation, and ongoing enhancement of data products, ensuring alignment with business objectives and user expectations.

• Contribute to the strategic growth and consolidation of the UX practice within knowmad mood, fostering a culture of design excellence.

📝 Enhancement Note: While the core job title is UX/UI Designer, the emphasis on "Data" and collaboration with "data teams" and "analytical products" strongly indicates a specialized role focused on the intersection of user experience and data visualization/analytics platforms. This is a critical distinction for operations and GTM professionals who need to understand the specific domain expertise required.

📈 Primary Responsibilities

• Translate Analytical Needs into User Experiences: Work with data teams and business stakeholders to understand complex analytical requirements and translate them into clear, usable, and effective user interfaces and workflows.

• Design Data-Centric Interfaces: Create wireframes, mockups, prototypes, and high-fidelity designs for data dashboards, reporting tools, and analytical platforms, ensuring clarity, usability, and aesthetic consistency.

• Develop UX Standards for Data Products: Contribute to the establishment and refinement of UX best practices, design patterns, and style guides specifically tailored for data visualization, analytics, and reporting tools.

• Conduct User Research and Validation: Plan and execute user research activities, usability testing, and product validation sessions to gather feedback and iterate on designs, ensuring solutions meet user needs and business goals.

• Cross-Functional Collaboration: Foster strong working relationships with data scientists, product managers, engineers, and business leaders to ensure a cohesive and integrated product development process.

• Ideation and Strategy Contribution: Participate actively in brainstorming sessions, ideation workshops, and product strategy discussions to identify opportunities for enhancing data product utility and user engagement.

• Advocate for User-Centered Design: Promote a user-centered design philosophy throughout the organization, educating stakeholders on the value of UX in data product development.

• Maintain Design Consistency: Ensure a consistent user experience across all data-related products and touchpoints, aligning with knowmad mood's overall design language and brand guidelines.

📝 Enhancement Note: The responsibilities highlight a proactive role in shaping the UX practice for data products, not just execution. This implies a need for strategic thinking, influence, and the ability to mentor or guide others, aligning with a "Senior" designation.

🎓 Skills & Qualifications

Education:

Experience:

• Minimum of 6 years of progressive experience in User Experience (UX) and User Interface (UI) design.

• At least 2 years of demonstrated experience working on projects involving data products, analytical platforms, business intelligence tools, or similar data-intensive applications.

Required Skills:

• UX/UI Design Expertise: Mastery of core UX principles, design thinking methodologies, user-centered design processes, and UI design best practices.

• Data Product Design: Specific experience in designing interfaces for data visualization, dashboards, reporting tools, and analytical platforms. Understanding of data storytelling and how to present complex data intuitively.

• Prototyping & Wireframing: Proficiency with industry-standard design and prototyping tools such as Figma, Sketch, Adobe XD, InVision, or similar.

• User Research & Usability Testing: Ability to plan, conduct, and analyze user research, usability studies, and A/B tests to inform design decisions.

• Stakeholder Management & Communication: Strong ability to collaborate effectively with diverse teams (data scientists, engineers, product managers, business leaders) and articulate design rationale clearly and persuasively.

• English Proficiency: C1 level English proficiency (written and spoken) is essential for cross-functional collaboration and communication within a potentially international context.

• Digital Design Best Practices: Deep understanding of visual design principles, typography, color theory, layout, and responsive design.

Preferred Skills:

• Experience working within a digital transformation consultancy or similar client-facing environment.

• Familiarity with Agile/Scrum development methodologies.

• Knowledge of data analytics concepts and tools (e.g., Tableau, Power BI, SQL, Python for data analysis).

• Experience with design systems, especially those applied to data-heavy applications.

• Portfolio showcasing a range of data product design projects with measurable impact.

📝 Enhancement Note: The "5-10 years" AI-derived experience level is a reasonable inference given the "6+ years" and "2+ years on data projects" requirements, suggesting a candidate ready for significant impact and potential leadership. The specific mention of "data products" or "analytical products" is crucial for targeting the right candidates.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Data Product Case Studies: Showcase at least 2-3 detailed case studies focusing on data-related projects. These should clearly articulate the problem, your role, the design process (including research and ideation), the final solutions, and most importantly, the measurable impact on business outcomes or user engagement.

• Process Documentation Clarity: Demonstrate a clear understanding of the UX design process, from discovery and research through to iteration and delivery, within the context of data products.

• System Integration Awareness: While not expected to be a developer, your portfolio should hint at an understanding of how UX designs integrate with backend systems and data pipelines, especially concerning data retrieval and visualization.

• ROI Demonstration: For each case study, provide evidence or strong reasoning for the Return on Investment (ROI) or business value generated by your design solutions. This could include metrics on efficiency gains, improved decision-making, increased user adoption, or cost savings.

Process Documentation:

• Workflow Design & Optimization: Detail how you approach designing user flows for data exploration, analysis, and reporting, emphasizing efficiency and intuitive navigation.

• Implementation & Automation: Describe your collaboration with development teams to ensure designs are implemented accurately and efficiently, and how UX can leverage automation in data product features.

• Measurement & Performance Analysis: Explain how you would measure the success of UX interventions in data products, including defining key performance indicators (KPIs) related to usability, adoption, and user satisfaction.

📝 Enhancement Note: For a Senior UX/UI Designer role, especially one focused on data, a portfolio is paramount. The emphasis on "data products" and "impact" is key for operations professionals to tailor their application.

💵 Compensation & Benefits

Salary Range:

Benefits:

• Indefinite Contract: Offers long-term job security and stability.

• 100% Remote: Full flexibility to work from any location in Spain, eliminating commuting and offering a better work-life balance.

• Internal Training & Certification Access: Opportunities for continuous professional development, including access to courses and certifications relevant to UX/UI and data product design.

• Flexible Compensation Plan: A comprehensive package including:

  • Health Insurance: Private medical coverage for employees.
  • Transportation Allowance: Support for commuting costs if applicable (though less relevant for fully remote, may be for occasional office visits or regional hubs).
  • Childcare Vouchers: Financial assistance for childcare expenses.
  • Restaurant Vouchers: For meal expenses.

• Referral Program: Incentive for recommending qualified candidates.

• Company Events & Meetups: Opportunities for networking, team building, and staying updated on industry trends (Tech Days, talks).

• Generous Leave Policy: 26 days of leave, including 22 vacation days, 2 personal days, and default holidays on December 24th and 31st.

Working Hours:

• 40-Hour Weekly Flexible Schedule: Offers significant flexibility in structuring the workday, allowing for better time management and personal commitments, crucial for remote operations roles.

📝 Enhancement Note: The provided salary range is an estimation. The actual salary will depend on the candidate's specific experience, skill set, and negotiation. The benefits package is robust and highly attractive for remote professionals.

🎯 Team & Company Context

🏢 Company Culture

Industry: Digital Transformation, Technology Consulting, Software Development. knowmad mood operates at the forefront of digital innovation, helping clients navigate complex technological landscapes and implement sustainable digital solutions. This context means the company values agility, cutting-edge technology, and client-centric problem-solving.

Company Size: Over 3,000 employees. This indicates a large, established, and well-resourced organization with structured processes and opportunities for career advancement, yet potentially with the agility of a growing consultancy.

Founded: Not explicitly stated, but described as a "leading company in digital transformation" with a mission to "provoke real change through innovation." This suggests a company with a strong vision and a history of impactful projects.

Team Structure:

• Data & UX Integration: The role explicitly requires collaboration with "data teams" and "business areas," suggesting a cross-functional structure where UX designers work closely with data scientists, analysts, product managers, and business stakeholders.

• Reporting: While not detailed, senior roles often report to a Head of Design, Director of Product, or a similar leadership position within a specific business unit or the broader UX/Product department.

• Collaboration Patterns: Expect a highly collaborative environment, typical of consultancies, involving frequent interaction with clients and internal multidisciplinary teams to co-create solutions.

Methodology:

• Data-Driven Decision Making: The company's focus on digital transformation and data products implies a strong emphasis on using data to inform strategy, product development, and business decisions.

• Agile & Iterative Development: Given the nature of digital transformation projects, Agile methodologies are likely employed, emphasizing iterative design, rapid prototyping, and continuous feedback loops.

• Innovation & Continuous Improvement: The company culture values innovation and sustainable development, suggesting a proactive approach to improving processes, tools, and user experiences.

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

📝 Enhancement Note: The company's profile as a digital transformation leader implies a fast-paced, innovative environment where UX/UI plays a crucial role in making complex technologies accessible and valuable to clients.

📈 Career & Growth Analysis

Operations Career Level: Senior UX/UI Designer - Data Specialist. This role sits at a senior individual contributor level, requiring deep expertise in UX/UI principles with a specialized focus on data-driven products. It suggests a candidate capable of leading design efforts on complex projects, influencing design strategy, and potentially mentoring junior designers.

Reporting Structure: Likely reports to a Head of Design, Lead UX Designer, or a Product Director within a specific client engagement or internal product team. The role involves significant collaboration with data science and business teams.

Operations Impact: The role's impact is directly tied to enhancing the usability and effectiveness of data products. This translates into improving clients' ability to leverage data for strategic decision-making, operational efficiency, and business growth. Successful UX design in this area can lead to increased client satisfaction, adoption rates, and ultimately, revenue for knowmad mood's clients.

Growth Opportunities:

• Specialization in Data UX: Deepen expertise in designing for complex data visualization, AI/ML interfaces, and advanced analytics platforms, becoming a sought-after specialist in this niche.

• Leadership & Mentorship: Transition into a Lead UX Designer role, managing design teams or client engagements, and mentoring junior designers.

• Product Strategy Influence: Contribute more significantly to product strategy, helping shape the vision and roadmap for data products from a user-centric perspective.

• Cross-Disciplinary Skill Development: Gain exposure to data science, business intelligence, and digital transformation strategies, broadening professional capabilities.

• Client-Facing Expertise: Develop strong client management and presentation skills, becoming a key advisor to clients on UX/UI matters.

📝 Enhancement Note: The "Senior" designation in this highly specialized role suggests significant potential for growth into leadership positions or deep domain expertise within the company or the broader industry.

🌐 Work Environment

Office Type: Although the role is 100% remote, knowmad mood likely operates with a hybrid or flexible office model for employees who prefer or need to work from a physical location. The company has offices in Madrid, Spain.

Office Location(s): Plaza de la Independencia, Madrid, Spain. This central location suggests a modern, accessible office environment, though it is not directly relevant for a remote position.

Workspace Context:

• Remote-First Culture: As a 100% remote role, expect a work environment that prioritizes asynchronous communication, digital collaboration tools, and autonomy.

• Digital Collaboration Tools: Reliance on platforms like Slack, Microsoft Teams, Zoom, and project management tools for seamless communication and collaboration across distributed teams.

• UX Design Tools: Access to and proficient use of advanced UX/UI design software (Figma, Sketch, Adobe XD) is standard. The company may also provide access to specialized data visualization tools or platforms.

• Cross-Functional Team Interaction: Opportunities to connect with diverse teams, fostering a dynamic and intellectually stimulating remote work experience.

Work Schedule:

• 40-hour Weekly Flexible Schedule: This provides significant autonomy over daily work hours, allowing for deep work sessions, personal appointments, and work-life integration. It’s ideal for asynchronous collaboration and managing projects across different time zones if needed, though the primary location is Spain.

📝 Enhancement Note: The remote nature of the job means the "workspace" is primarily the candidate's own home office, emphasizing the need for self-discipline, effective time management, and proficiency with remote collaboration tools.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A brief call with HR or a recruiter to assess basic qualifications, cultural fit, and interest in the role and company.

• Hiring Manager Interview: A more in-depth discussion with the hiring manager (likely a design lead or product manager) to explore experience, technical skills, and approach to UX/UI design, particularly for data products.

• Portfolio Presentation & Case Study Review: This is a critical stage. Candidates will be asked to present 1-3 key projects from their portfolio, focusing on their process, problem-solving, design decisions, and measurable outcomes. Expect detailed questions about challenges faced and how they were overcome.

• Technical/Skills Assessment: This might involve a design exercise, a whiteboard session, or a discussion around specific UX/UI challenges related to data visualization or analytical tools.

• Team/Stakeholder Interviews: Meetings with potential colleagues from data science, product, or business teams to assess collaboration style, communication skills, and ability to integrate into the existing team dynamic.

• Final Interview: Potentially with a senior leader or executive to discuss overall fit, strategic thinking, and long-term potential.

Portfolio Review Tips:

• Focus on Data: Ensure your presented case studies prominently feature your work on data products, analytical dashboards, or BI tools. Clearly articulate the data context and how UX enhanced its understanding or usability.

• Structure Your Narratives: For each case study, follow a clear story arc: Problem/Opportunity -> Your Role/Process -> Solution -> Results/Impact. Quantify impact wherever possible.

• Highlight Collaboration: Showcase instances where you effectively collaborated with data teams, engineers, and business stakeholders. Describe how you managed differing perspectives and achieved consensus.

• Demonstrate Problem-Solving: Be prepared to discuss specific design challenges you encountered with data presentation or user interaction and how you innovatively solved them.

• Tool Proficiency: Be ready to discuss the tools you used (Figma, Sketch, etc.) and why they were appropriate for the project.

Challenge Preparation:

• Data Visualization Principles: Brush up on best practices for data visualization, chart types, and principles of effective dashboard design.

• User-Centered Design for Data: Think about how to apply user-centered design principles to complex datasets and analytical tasks. Consider user personas for data consumers.

• Communication & Storytelling: Practice articulating your design decisions and the value of UX for data products concisely and persuasively.

📝 Enhancement Note: The emphasis on "data products" and "analytical products" in the original description means the portfolio review and any design challenges will heavily weigh experience in this specific domain.

🛠 Tools & Technology Stack

Primary Tools:

• UX/UI Design Software: Mastery of industry-standard tools is expected.

  • Figma: Highly probable as a primary tool for collaborative design, wireframing, prototyping, and design systems.
  • Sketch: Another strong possibility, especially if the company has a history with it.
  • Adobe XD: May be used for certain projects or by specific teams.

• Prototyping Tools: Often integrated within design software (Figma, XD) or standalone like InVision, Marvel.

• Collaboration Platforms:

  • Slack/Microsoft Teams: For daily communication and team interaction.
  • Jira/Confluence: For project management, task tracking, and documentation, especially in Agile environments.
  • Miro/Mural: For remote whiteboarding, brainstorming, and ideation sessions.

Analytics & Reporting:

• While not expected to be an analyst, familiarity with how data is presented and consumed is key.
  • Tableau/Power BI/Looker: Understanding of how these tools present data will be beneficial for designing interfaces that complement them.
  • Google Analytics/Adobe Analytics: Awareness of web analytics for understanding user behavior on digital platforms.

CRM & Automation:

• Less direct relevance for this UX role, but understanding how data products might integrate with CRMs (like Salesforce) or support sales/marketing automation processes could be a plus.

📝 Enhancement Note: Proficiency in modern, collaborative design tools like Figma is almost a prerequisite for this role. Familiarity with data visualization platforms is a significant advantage.

👥 Team Culture & Values

Operations Values:

• Collaboration: Strong emphasis on teamwork, cross-functional partnership, and shared ownership of outcomes, particularly between design, data, and business teams.

• Innovation: A drive to explore new technologies, methodologies, and creative solutions to digital transformation challenges.

• Commitment: Dedication to delivering high-quality, impactful solutions for clients and the organization.

• Fun: Fostering a positive, engaging, and enjoyable work environment, even in a remote setting.

• Trust: Building strong relationships based on transparency, reliability, and mutual respect.

Collaboration Style:

• Cross-functional Integration: Expect a highly integrated approach where UX designers are embedded within multidisciplinary teams, working hand-in-hand with data scientists, business analysts, and product managers.

• Process Review & Feedback Culture: An environment where designs and processes are openly reviewed, and constructive feedback is actively sought and given to drive continuous improvement.

• Knowledge Sharing: Encouragement of sharing best practices, insights, and learnings through internal meetups, tech talks, and collaborative documentation.

📝 Enhancement Note: The company's stated values (collaboration, innovation, commitment, fun, trust) provide a clear framework for how individuals are expected to operate and interact within the team and with clients.

⚡ Challenges & Growth Opportunities

Challenges:

• Bridging the Data-User Gap: The primary challenge is making complex, raw data understandable and actionable for users who may not be data experts. This requires translating intricate analytical findings into intuitive interfaces.

• Balancing Stakeholder Needs: Navigating diverse requirements from data teams (technical accuracy), business stakeholders (strategic insights), and end-users (usability, ease of access) can be complex.

• Evolving Data Technologies: Keeping pace with advancements in data analytics, AI, machine learning, and visualization techniques to ensure designs are modern and effective.

• Remote Collaboration Effectiveness: Maintaining strong design cohesion, clear communication, and a sense of team presence in a fully remote environment.

Learning & Development Opportunities:

• Specialized UX for Data: Deepen expertise in advanced data visualization techniques, information architecture for complex datasets, and UX for AI/ML interfaces.

• Industry Conferences & Certifications: Opportunities to attend relevant UX, data, and digital transformation conferences, and pursue certifications that enhance professional credibility.

• Mentorship & Leadership: Potential to be mentored by senior design leaders or to mentor junior team members, developing leadership skills.

• Exposure to Diverse Industries: As a consultancy, working with clients across various sectors provides broad exposure to different business challenges and data use cases.

📝 Enhancement Note: This role offers a prime opportunity to become an expert in a highly in-demand niche: UX/UI design for data products, which is crucial for any organization aiming for data-driven decision-making.

💡 Interview Preparation

Strategy Questions:

• "How would you approach designing a dashboard for a sales team that needs to track real-time performance against targets?" (Focus on user needs, data points, visualization types, and interactivity).

• "Describe a time you had to translate complex analytical findings into a user-friendly interface. What was your process, and what was the outcome?" (Emphasize problem-solving, user empathy, and impact).

Company & Culture Questions:

• "What interests you about knowmad mood's focus on digital transformation and sustainable innovation?" (Research the company's mission and values).

• "How do you stay updated on the latest trends in UX/UI design, especially concerning data products?" (Demonstrate continuous learning).

Portfolio Presentation Strategy:

• Data-Centric Storytelling: For each case study, explicitly state the data context, the analytical challenge, and how your design solution improved data comprehension or utilization.

• Quantify Impact: Present metrics that demonstrate the success of your designs. If direct metrics are unavailable, articulate the anticipated business value or efficiency gains logically.

• Showcase Collaboration: Be ready to discuss how you partnered with data scientists, engineers, and business stakeholders. Use examples of how you managed feedback and integrated different perspectives.

• Interactive Elements: If possible, prepare interactive prototypes for your key case studies to better illustrate the user experience and functionality.

📝 Enhancement Note: The interview process will heavily scrutinize your ability to apply UX/UI principles specifically to data-related challenges and your collaborative skills within a cross-functional, remote setting.

📌 Application Steps

To apply for this Senior UX/UI Designer - Data position:

• Submit your application through the provided link on the knowmad mood teamtailor portal.

• Tailor your Resume: Emphasize your 6+ years of UX/UI experience, highlighting the specific 2+ years focused on data products, analytical platforms, or BI tools. Use keywords like "data visualization," "dashboard design," "user-centered analytics," and "stakeholder collaboration."

• Curate Your Portfolio: Select 2-3 strong case studies that best showcase your expertise in designing for data. Ensure each case study clearly outlines the problem, your process, the solution, and the measurable impact. Focus on data-related projects and explicitly mention your collaboration with data teams.

• Prepare Your Presentation: Practice walking through your portfolio case studies, focusing on storytelling, clear articulation of your design process, and demonstrating the value you bring to data product development. Be ready to answer in-depth questions about your decisions.

• Research knowmad mood: Understand their mission, values, and approach to digital transformation. This will help you articulate your fit during interviews and tailor your responses to their specific 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.

---