Senior UX/UI Designer

📍 Job Overview

Job Title: Senior UX/UI Designer

Company: knowmad mood

Location: Madrid, Community of Madrid, Spain

Job Type: FULL_TIME

Category: UX/UI Design / Data Products

Date Posted: 2026-03-16T10:31:31

Experience Level: 5-10 years

Remote Status: 100% REMOTE

🚀 Role Summary

• This role is pivotal in shaping data products by focusing on user experience and interface design, directly impacting how business stakeholders interact with analytical insights.

• You will bridge the gap between complex data requirements and intuitive, user-friendly digital interfaces, ensuring business objectives are met through effective design solutions.

• This position demands strong collaboration with data science teams and business stakeholders to translate analytical needs into actionable user experiences.

• The Senior UX/UI Designer will be instrumental in defining and elevating UX best practices specifically within the context of data-driven products and analytical platforms.

📝 Enhancement Note: While the title is Senior UX/UI Designer, the explicit mention of "data or analytical products" and collaboration with "data teams" and "stakeholders to transform analytical requirements into high-impact user experiences" positions this role firmly within the intersection of UX/UI and Data Product Management/Operations. The emphasis on translating "analytical requirements" suggests a need for understanding data visualization principles and user needs around data consumption and interpretation.

📈 Primary Responsibilities

• Translate Analytical Requirements into User Experiences: Collaborate closely with data scientists, analysts, and business stakeholders to deeply understand complex analytical requirements and translate them into intuitive, user-centered designs for data products.

• Design User-Centric Interfaces and Flows: Develop wireframes, mockups, prototypes, and high-fidelity designs for data platforms and analytical tools, ensuring clarity, usability, consistency, and a seamless user journey.

• Define and Champion UX Best Practices for Data Products: Contribute to the establishment and ongoing refinement of UX guidelines, design systems, and best practices specifically tailored for data visualization, reporting dashboards, and analytical applications.

• Strengthen Internal UX Practice: Work collaboratively with the internal UX team to consolidate and enhance the overall UX capabilities and design maturity within knowmad mood.

• Conduct User Research and Validation: Participate in user interviews, usability testing, and A/B testing to gather feedback and validate design decisions, ensuring solutions meet user needs and business objectives.

• Facilitate Ideation and Design Reviews: Lead and participate in ideation sessions, design thinking workshops, and product review meetings to foster innovation and ensure alignment on design solutions.

• Ensure Design Consistency and Brand Alignment: Maintain a consistent visual language and user experience across all data products, aligning with knowmad mood's brand identity and design standards.

📝 Enhancement Note: The responsibilities emphasize a dual focus: not only on standard UX/UI design but specifically on the application of these principles to data products. This implies a need for understanding data visualization, user interaction with dashboards, and translating complex data insights into digestible user interfaces. The requirement to "consolidate and strengthen the practice of UX within the organization" suggests a leadership or influential component to the role.

🎓 Skills & Qualifications

Education: While no specific degree is mandated, a Bachelor's or Master's degree in Design (e.g., Interaction Design, Graphic Design, Human-Computer Interaction), Computer Science, or a related field is typically expected for a Senior role. Equivalent practical experience will also be highly valued.

Experience:

• A minimum of 6 years of progressive experience in UX/UI design.

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

Required Skills:

• UX/UI Design Expertise: Comprehensive knowledge and practical application of user experience principles, user interface design, interaction design, and information architecture.

• Data Product Design: Demonstrated ability to design user interfaces and workflows for data products, dashboards, and analytical tools, with an understanding of data visualization best practices.

• User-Centered Design Methodologies: Mastery of user research techniques (interviews, surveys, usability testing), persona creation, journey mapping, wireframing, prototyping, and iterative design processes.

• Collaboration and Stakeholder Management: Proven ability to work effectively with cross-functional teams (data scientists, engineers, product managers) and business stakeholders, translating their needs into design solutions.

• Communication and Presentation Skills: Exceptional ability to articulate design concepts, rationale, and user insights clearly and persuasively to diverse audiences, both verbally and visually.

• English Proficiency: C1 level English, essential for international collaboration and communication within the company.

Preferred Skills:

• Design Systems: Experience in creating, managing, or contributing to design systems for consistency and scalability.

• Data Visualization Tools: Familiarity with tools like Tableau, Power BI, Looker, or similar, and an understanding of how to design effective visualizations within them.

• Prototyping Tools: Advanced proficiency in industry-standard tools such as Figma, Sketch, Adobe XD, InVision, or similar for creating interactive prototypes.

• Agile/Scrum Methodologies: Experience working within Agile development environments.

• Understanding of Data Analytics: Basic understanding of data analytics concepts, metrics, and business intelligence principles.

📝 Enhancement Note: The emphasis on "data or analytical products" and "analytical requirements" suggests that candidates with experience in designing dashboards, BI tools, or platforms where users interact with data will be highly preferred. The "Senior" title implies a need for leadership in design thinking and process improvement.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Case Studies on Data Product Design: Showcase at least 2-3 detailed case studies demonstrating your process for designing user experiences for data-intensive products, analytical tools, or dashboards.

• Problem-Solution-Outcome Structure: Each case study should clearly articulate the business problem or analytical need, your design process and rationale, the solutions you developed (wireframes, prototypes, final UI), and the measurable impact or outcomes achieved.

• Demonstration of User-Centricity: Highlight how user research, testing, and feedback informed your design decisions throughout the project lifecycle.

• Visualization and Data Interaction Examples: Include examples of how you designed with data visualization in mind, showing your approach to presenting complex information clearly and effectively.

• System Integration Understanding: If applicable, showcase projects where your designs integrated with specific data platforms or analytical systems.

Process Documentation:

• User Research and Analysis: Provide evidence of your process for conducting user research, synthesizing findings, and creating user personas and journey maps relevant to data consumption.

• Design Workflow: Detail your typical design workflow, from initial ideation and wireframing to high-fidelity prototyping and handoff to development, particularly for data-related features.

• Collaboration and Feedback Mechanisms: Illustrate how you collaborate with data teams, stakeholders, and developers, and how you incorporate feedback into your design iterations.

📝 Enhancement Note: For this specific role, the portfolio is critical for demonstrating not just general UX/UI skills, but the ability to apply them effectively to the complex domain of data products. Candidates should prioritize showcasing projects that involve data visualization, reporting interfaces, or analytical platforms, clearly detailing their thought process and impact on data comprehension and decision-making.

💵 Compensation & Benefits

Salary Range:

Based on industry benchmarks for Senior UX/UI Designers in Madrid, Spain, with 6+ years of experience and specialized skills in data products, a competitive salary range would typically fall between €45,000 and €65,000 gross per year. This range can vary based on the candidate's specific experience, portfolio, and negotiation.

Benefits:

• Indefinite Contract: Secure employment with a permanent contract.

• 100% REMOTE Work: Full flexibility to work from anywhere in Spain.

• Internal Training and Certifications: Opportunities for continuous professional development and access to relevant certifications.

• Flexible Compensation Plan:

  • Medical Insurance
  • Transportation benefits
  • Childcare Vouchers
  • Restaurant Tickets

• Brand Ambassador Program: Referral bonuses through the "Plan Amigo" program.

• Engaging Company Events: Access to internal events, meetups, tech days, and talks.

• Generous Paid Time Off: 26 days of rest (22 vacation days, 2 free days, plus default holidays on Dec 24th and 31st).

Working Hours:

• 40 hours per week with flexible working hours, allowing for a good work-life balance and autonomy in managing the workday.

📝 Enhancement Note: The salary estimate is based on average market rates for a Senior UX/UI Designer in Spain, adjusted for the specific location (Madrid) and the specialized, in-demand skill set of working with data products. The benefits package is comprehensive and reflects a modern, employee-centric approach, particularly appealing to remote professionals.

🎯 Team & Company Context

🏢 Company Culture

Industry: Digital Transformation, Technology Consulting, and Innovation. knowmad mood operates at the forefront of technology, aiming to drive real change through innovation and sustainable development. Their mission involves adding value to clients and fostering talent.

Company Size: Over 3,000 employees. This indicates a large, established organization with a significant presence and likely a structured approach to operations, HR, and internal processes, while still fostering a culture of creativity and innovation.

Founded: While not explicitly stated, the company's scale suggests it has been operating for a considerable period, allowing it to build a robust client base and a developed internal ecosystem.

Team Structure:

• Cross-Functional Data Teams: The Senior UX/UI Designer will collaborate within multidisciplinary teams, likely comprising data scientists, data engineers, business analysts, and project managers, all focused on delivering data-driven solutions.

• Reporting Structure: As a Senior role, the designer may report to a Head of Design, a UX Lead, or a Product Management lead, with direct interaction with various business unit stakeholders.

• Collaborative Environment: The company emphasizes collaboration, innovation, and a passion for technology, suggesting a dynamic and interconnected work environment.

Methodology:

• Data-Driven Innovation: The company's core mission revolves around using innovation and technology to create value, implying a strong emphasis on data analysis and leveraging insights for decision-making and product development.

• User-Centricity and Business Alignment: The role requires balancing user needs with business objectives, a common methodology in successful digital product development.

• Agile and Iterative Development: Given the nature of digital transformation and product creation, an agile and iterative approach to design and development is highly probable.

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

📝 Enhancement Note: The company's description highlights a strong focus on digital transformation, innovation, and sustainable development. For a UX/UI Designer, this translates to working on cutting-edge projects that have a tangible impact. The large company size suggests opportunities for broad exposure and structured career growth, while the emphasis on collaboration and values indicates a culture that encourages teamwork and shared success.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned as Senior UX/UI Designer. This implies a level of expertise beyond mid-level, requiring independent problem-solving, mentorship capabilities, and the ability to influence design strategy and process. It sits within the broader spectrum of operations by contributing to the efficiency and effectiveness of data product delivery and user adoption.

Reporting Structure: The Senior UX/UI Designer will likely report to a Design Lead, Head of Product, or a similar senior management position within the digital transformation or product development division. They will work closely with Data Science, Data Engineering, and Business Stakeholder teams, requiring strong cross-functional collaboration skills.

Operations Impact: The impact of this role is significant. By creating clear, intuitive, and effective data products, the Senior UX/UI Designer directly enhances:

• User Adoption & Engagement: Making data accessible and understandable to a wider audience.

• Decision-Making Efficiency: Enabling stakeholders to derive insights faster and with greater confidence.

• Business Value Realization: Ensuring that investments in data and analytics translate into tangible business outcomes.

• Operational Efficiency: Reducing friction and errors associated with data interpretation and usage.

Growth Opportunities:

• Lead Design Initiatives: Opportunity to lead design projects, mentor junior designers, and drive the adoption of UX best practices within data product development.

• Specialization in Data UX: Deepen expertise in the niche but growing field of UX for data products, becoming a go-to expert within the organization and the industry.

• Transition to Product Management: Develop a strong understanding of business needs and product strategy, potentially leading to roles in data product management or strategy.

• Consulting and Client-Facing Roles: Leverage expertise to consult with clients on their data product UX challenges, aligning with knowmad mood's core business.

• Internal Process Improvement: Contribute to shaping the UX/UI discipline and processes within knowmad mood, influencing how the company approaches design for all digital products.

📝 Enhancement Note: The "Senior" designation coupled with the focus on data products suggests a role that is not just about execution but also about strategic input and process improvement. This offers substantial growth potential for individuals looking to specialize in a high-demand area of UX and contribute to the operational effectiveness of data-driven organizations.

🌐 Work Environment

Office Type: While the role is 100% remote, knowmad mood also emphasizes its physical presence and collaborative culture. They likely have office spaces that foster innovation and connection, which remote employees can potentially leverage for occasional team meetups or events. The company culture is described as collaborative, innovative, and focused on creating connections.

Office Location(s): The job posting lists "Plaza de la Independencia, Madrid, ES." This indicates a physical presence in a prime location in Madrid, suggesting a professional and accessible hub for the company's operations and potential in-person events. Other company locations might exist across Spain, as indicated by their broader operations.

Workspace Context:

• Remote-First Culture: The 100% remote nature of the role provides significant autonomy and flexibility, allowing designers to create their ideal work environment.

• Digital Collaboration Tools: Expect extensive use of digital collaboration tools (e.g., Slack, Teams, Miro, video conferencing) to maintain connectivity and facilitate seamless teamwork across distributed teams.

• Access to Company Resources: While remote, designers will likely have access to digital resources, training platforms, and opportunities to connect with colleagues during virtual events and meetups.

• Focus on Well-being: The provision of flexible hours and a comprehensive benefits package suggests a company that values employee well-being and work-life balance, even in a remote setting.

Work Schedule:

• 40-hour week with flexible hours: This allows individuals to structure their workday to best suit their productivity peaks and personal commitments, while ensuring alignment with team collaboration needs. This flexibility is crucial for remote roles, enabling effective work across different time zones if necessary, though the primary focus is Madrid time.

📝 Enhancement Note: The 100% remote nature combined with flexible hours is a significant draw. The mention of physical office locations and company events suggests a hybrid approach to culture building, where remote employees are still integrated into the broader company community through virtual and occasional in-person touchpoints.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A review of your application, CV, and portfolio to assess alignment with the core requirements, particularly the 6+ years of UX/UI experience and 2+ years in data products.

• Technical/Portfolio Interview: A deep dive into your portfolio, focusing on your process, problem-solving skills, and experience with data-related design challenges. Expect to discuss specific case studies in detail.

• Design Challenge/Case Study: You may be asked to complete a take-home assignment or a live design exercise related to a data product scenario. This will assess your practical skills and approach to a relevant problem.

• Behavioral and Cultural Fit Interview: Discussions focused on your collaboration style, how you handle challenges, your understanding of knowmad mood's values (collaboration, innovation, commitment, fun, trust), and how you fit within a remote, fast-paced environment.

• Final Interview: Potentially with a senior leader or hiring manager to discuss overall fit, career aspirations, and finalize the offer.

Portfolio Review Tips:

• Highlight Data Product Experience: Ensure your portfolio prominently features projects involving data visualization, dashboards, analytical tools, or any application where users interact with data.

• Showcase Your Process: Clearly articulate your UX process for each project – from understanding requirements and user research to ideation, wireframing, prototyping, testing, and final design. Use visuals to demonstrate each stage.

• Quantify Impact: Whenever possible, include metrics or outcomes that demonstrate the success of your designs. For data products, this could relate to improved data comprehension, faster decision-making, increased user adoption, or reduced error rates.

• Explain Your Rationale: Be prepared to explain why you made specific design decisions, referencing user needs, business goals, and design principles.

• Tailor to the Role: Emphasize aspects of your work that align with knowmad mood's focus on digital transformation and data-driven solutions.

Challenge Preparation:

• Understand Data Product Nuances: Familiarize yourself with common challenges in data visualization and analytical tool design, such as information overload, finding actionable insights, and catering to diverse user skill levels.

• Practice Problem-Solving: Be ready to tackle hypothetical design problems related to translating complex data into user-friendly interfaces. Think about how you would approach understanding the core user need and business objective.

• Articulate Your Approach: Practice explaining your design process and rationale clearly and concisely, as you will need to communicate your thinking effectively during the challenge or interview.

📝 Enhancement Note: The interview process will heavily scrutinize the candidate's ability to bridge the gap between technical data requirements and user-friendly design. The portfolio is the primary tool for demonstrating this capability, so candidates must curate it meticulously to showcase relevant experience and a robust design process applicable to data products.

🛠 Tools & Technology Stack

Primary Tools:

• Design & Prototyping: Figma, Sketch, Adobe XD, InVision (proficiency in at least one advanced tool is expected).

• User Research & Testing: Tools for user interviews, surveys, usability testing platforms (e.g., UserTesting.com, Maze).

• Collaboration & Communication: Slack, Microsoft Teams, Zoom, Google Workspace.

• Project Management: Jira, Asana, Trello, or similar tools for managing tasks and workflows.

Analytics & Reporting:

• Data Visualization Tools: Familiarity with tools like Tableau, Power BI, Looker, Qlik Sense, or similar is highly beneficial, as the role involves designing for these environments or presenting data within them.

• Analytics Platforms: Understanding of web analytics (e.g., Google Analytics) and product analytics (e.g., Mixpanel, Amplitude) can be advantageous to grasp user behavior within data products.

CRM & Automation:

• CRM Systems: While not a primary focus, familiarity with CRM platforms (e.g., Salesforce) might be useful if data products integrate with sales or customer data.

• No-Code/Low-Code Platforms: Awareness of platforms that might be used for rapid prototyping or internal tool development could be a plus.

📝 Enhancement Note: Proficiency in modern design and prototyping tools is a baseline. The key differentiator for this role will be familiarity with the ecosystem of data products, including data visualization tools and analytical platforms. Understanding how users interact with data and how data itself is structured will be critical.

👥 Team Culture & Values

Operations Values:

• Collaboration: A strong emphasis on teamwork and cross-functional partnerships, essential for bridging the gap between data teams and business users. Expect to work closely with diverse groups, sharing insights and co-creating solutions.

• Innovation: A drive to explore new ideas, technologies, and approaches to digital transformation and problem-solving. This means being open to experimentation and continuous improvement in design and product development.

• Commitment: Dedication to delivering high-quality work, meeting project goals, and contributing to the success of clients and the company. This includes taking ownership of design outcomes and seeing projects through to completion.

• Fun: An encouragement to enjoy the work and foster a positive, engaging atmosphere, even within a professional setting. This likely translates to team-building activities and a supportive work environment.

• Trust: A foundation of mutual respect and reliability among team members and with clients. This fosters autonomy and empowers individuals to take initiative.

Collaboration Style:

• Cross-Functional Integration: Designers are expected to be integrated members of multidisciplinary teams, actively participating in discussions and decision-making processes alongside data scientists and business stakeholders.

• Open Feedback Culture: A willingness to both give and receive constructive feedback is crucial for iterative design and continuous improvement. Expect regular design reviews and collaborative critique sessions.

• Knowledge Sharing: An environment that encourages sharing best practices, learnings, and insights, likely through internal meetups, workshops, and digital communication channels.

📝 Enhancement Note: The company's stated values – collaboration, innovation, commitment, fun, and trust – are central to knowmad mood's identity. For a UX/UI designer, particularly in a remote setting, demonstrating these values through proactive communication, a willingness to learn and share, and a positive attitude will be key to successful integration and impact.

⚡ Challenges & Growth Opportunities

Challenges:

• Translating Complex Data into Simple Interfaces: The primary challenge will be to make intricate data and analytical insights understandable and actionable for users with varying technical proficiencies. This requires deep empathy and strong information design skills.

• Balancing Stakeholder Needs: Juggling the diverse requirements and expectations of data teams, business stakeholders, and end-users can be demanding, requiring strong negotiation and communication skills.

• Rapid Technological Evolution: Staying abreast of advancements in data analytics, visualization techniques, and UX design tools requires continuous learning and adaptation.

• Remote Collaboration Dynamics: Effectively collaborating and building strong relationships with distributed team members and maintaining a sense of team cohesion in a 100% remote environment.

Learning & Development Opportunities:

• Specialized Data UX Training: Opportunities to deepen expertise in UX for data products, including advanced data visualization principles, AI/ML interface design, and analytics platform best practices.

• Industry Conferences and Certifications: Access to attend relevant UX, data, and technology conferences, and support for obtaining industry-recognized certifications.

• Mentorship and Leadership Development: For a Senior role, there's potential for mentorship from experienced leaders, and opportunities to mentor junior designers, developing leadership capabilities.

• Exposure to Diverse Projects: Working on various digital transformation projects across different industries allows for broad learning and skill diversification within knowmad mood's client portfolio.

📝 Enhancement Note: The challenges are inherent to the intersection of UX/UI and data products. Overcoming these requires a strategic approach to design, robust communication, and a commitment to continuous learning, which knowmad mood actively supports through its development initiatives.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you had to translate complex analytical requirements into a user-friendly interface. What was your process, and what was the outcome?" (Focus on problem definition, user research, design iterations, and quantifiable impact.)

• "How do you approach designing for users with varying levels of data literacy? Can you provide an example from your experience?" (Demonstrate understanding of user segmentation and adaptive design principles.)

• "Imagine you need to design a dashboard that visualizes customer churn data. What are the key considerations, and what would be your first steps?" (Assess your approach to information hierarchy, key metrics, and user goals.)

Company & Culture Questions:

• "What interests you about knowmad mood's focus on digital transformation and sustainable development?" (Research the company's mission and values, and connect them to your own career aspirations.)

• "How do you approach collaboration in a remote, cross-functional team environment? What strategies do you use to ensure effective communication?" (Emphasize proactive communication, active listening, and leveraging collaboration tools.)

• "How do you handle constructive criticism on your designs, especially from stakeholders who may not have a design background?" (Showcase your ability to remain receptive, explain your rationale, and find common ground.)

Portfolio Presentation Strategy:

• Structure Your Narrative: For each case study, clearly define the problem, your role, your process, the solution, and the results. Use a consistent narrative arc.

• Focus on "Why": Be prepared to explain the rationale behind every major design decision. Connect your choices back to user needs, business objectives, and design principles.

• Show, Don't Just Tell: Use visuals (wireframes, mockups, prototypes, user flows) to illustrate your process and solutions. Interactive prototypes are highly recommended.

• Highlight Data Product Relevance: Explicitly point out aspects of your work that demonstrate your ability to design for data products, such as data visualization choices, dashboard layouts, or information architecture for analytical tools.

• Quantify Your Impact: Wherever possible, present metrics that demonstrate the positive outcomes of your design work. This could include improvements in user engagement, efficiency, conversion rates, or satisfaction scores.

📝 Enhancement Note: Interview preparation should focus on demonstrating a deep understanding of UX principles as applied to data, strong problem-solving skills, and the ability to collaborate effectively in a remote, cross-functional setting. Candidates should be ready to articulate their process and quantify the impact of their work, especially in the context of data-driven products.

📌 Application Steps

To apply for this Senior UX/UI Designer position:

• Submit your application through the provided link on the knowmad mood Teamtailor platform.

• Curate Your Portfolio: Ensure your portfolio prominently features 2-3 detailed case studies showcasing your experience with data products, analytical tools, or dashboards. Clearly articulate your user-centered design process, the challenges you addressed, and the measurable impact of your solutions.

• Tailor Your CV: Highlight your 6+ years of UX/UI experience and specifically your 2+ years working with data or analytical products. Use keywords relevant to user-centered design, data visualization, stakeholder collaboration, and your proficiency in design tools.

• Prepare for the Interview: Research knowmad mood's company culture, values, and their work in digital transformation. Practice articulating your design process, problem-solving approach, and how you handle collaboration in a remote environment. Be ready to walk through your portfolio with confidence.

• Showcase Your C1 English: Be prepared to communicate fluently in English during all stages of the interview process.

⚠️ 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.