SE Intel UX UI Designer

📍 Job Overview

Job Title: SE Intel UX UI Designer

Company: Schneider Electric

Location: Barcelona, Catalonia, Spain / Bangalore, Karnataka, India

Job Type: Full-Time

Category: User Experience (UX) / User Interface (UI) Design, Data Analytics & Business Intelligence

Date Posted: June 26, 2026

Experience Level: Mid-Senior Level (5-10 years)

Remote Status: Hybrid

🚀 Role Summary

• Design and drive best-in-class user experience (UX) and user interface (UI) standards for the "SE Intel" platform, Schneider Electric's enterprise-wide data analytics application.

• Focus on transforming complex data into intuitive, actionable insights through user-centric design principles and advanced data visualization techniques.

• Develop innovative AI-native and conversational analytics experiences, including designing user interactions for AI assistants and prompt-based data exploration.

• Ensure adherence to Schneider Electric's Quartz design system and accessibility standards (WCAG 2.2 AA) across all BI assets and dashboards.

• Collaborate closely with Product Owners, Data Engineers, Analysts, and Business Stakeholders to deliver high-impact, user-friendly data products.

📝 Enhancement Note: This role is crucial for democratizing data access and driving business performance across Schneider Electric, impacting an estimated 10,000+ users. The focus on AI-native analytics and a hybrid work model suggests a modern, forward-thinking operations and digital transformation environment.

📈 Primary Responsibilities

• UX/UI Strategy & Design: Define and champion the UX vision and design standards for SE Intel dashboards and analytics products, ensuring alignment with company design principles and industry best practices.

• AI-Native & Conversational Analytics Experience: Design intuitive user journeys, wireframes, and high-fidelity designs for AI-assisted analytics, including prompt entry, suggested questions, and result presentation flows.

• Dashboard & Analytics Experience Design: Create end-to-end user experiences for dashboards, focusing on clear visual insights, intuitive navigation, filtering, drill-downs, and effective data storytelling.

• User-Centric Development & Adoption: Conduct user research and usability testing to continuously improve the SE Intel experience, defining and tracking UX success metrics to drive design prioritization.

• Collaboration & Delivery: Work closely with Product Owners, Data Engineers, Analysts, and Visualization Developers in an Agile environment to ensure design-to-development consistency and validate implementation against design specifications.

• Innovation & Continuous Improvement: Drive innovation in advanced data visualization, conversational analytics, and AI-driven UX, benchmarking external best practices to elevate SE Intel's UX maturity.

• Accessibility & Performance Optimization: Ensure all dashboards are optimized for accessibility (WCAG 2.2 AA), inclusive design, performance, responsiveness, and cross-device compatibility.

• Data Storytelling & Visual Hierarchy: Translate complex datasets into clear, actionable visual insights, establishing design guidelines for data visualization best practices, including visual hierarchy and progressive disclosure.

📝 Enhancement Note: The responsibilities highlight a blend of strategic UX leadership and hands-on design execution. The emphasis on "AI-Native & Conversational Analytics Experience" and "Data Storytelling" indicates a need for designers who can bridge the gap between complex data, user needs, and actionable business intelligence.

🎓 Skills & Qualifications

Education:

• Bachelor's or Master's degree in UX Design, Human-Computer Interaction, Design, or a related field. Experience:

• Proven UX/UI design experience for analytics, Business Intelligence (BI) platforms, or data products, supported by a portfolio showcasing shipped, data-rich interfaces.

• Experience designing for enterprise-level platforms with a large user base (e.g., 10,000+ users).

• Minimum of 5-10 years of professional UX/UI design experience. Required Skills:

• Data Visualization Principles: Strong expertise in designing effective and insightful data visualizations.

• User-Centered Design Methodologies: Deep understanding and practical application of user research, persona development, journey mapping, and usability testing.

• Wireframing & Prototyping Tools: Proficiency in industry-standard tools such as Figma, Adobe XD, or Sketch.

• BI Tool Design Experience: Experience designing interfaces for at least one major BI tool (e.g., Tableau, Power BI) and understanding of their constraints.

• Agile Environments: Proven ability to work effectively within cross-functional Agile teams, participating in ceremonies and contributing to iterative development cycles.

• Accessibility Standards: Strong knowledge and practical application of accessibility guidelines, specifically WCAG 2.2 AA compliance, including keyboard-first navigation and screen-reader compatibility.

• Data Literacy: Comfortable reading data models and understanding how data structures influence interface design decisions.

• Collaboration & Communication: Excellent verbal and written communication skills, with the ability to engage and influence both technical and business stakeholders.

Preferred Skills:

• Experience designing for AI-assisted analytics, conversational interfaces, or Natural Language Processing (NLP) driven UX.

• Familiarity with Schneider Electric's Quartz design system.

• Experience with behavioral analytics tools and A/B testing for data-driven design improvements.

• Cross-device design experience (web, mobile, ambient surfaces).

• Understanding of data lake architectures and their implications for UI design.

📝 Enhancement Note: The emphasis on a portfolio of "shipped, data-rich interfaces" is critical. Candidates should be prepared to showcase projects where they have translated complex data into user-friendly dashboards or analytics tools, demonstrating tangible impact.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Data-Rich Interface Examples: Showcase at least 2-3 significant projects demonstrating your ability to design user interfaces for complex data analytics, BI platforms, or enterprise data products.

• Process & Methodology Documentation: Clearly articulate your design process for each project, including user research findings, wireframes, prototypes, user testing outcomes, and design iterations.

• Impact & Metrics: Quantify the impact of your designs using relevant UX metrics such as adoption rates, task success rates, time-to-insight reduction, user satisfaction scores, or business KPI improvements.

• Tool Proficiency Demonstration: Highlight the tools used (Figma, Adobe XD, Sketch, Tableau, etc.) and explain how they were leveraged to achieve specific design goals.

• Accessibility & Inclusivity: Provide examples demonstrating your commitment to accessible design (WCAG compliance) and inclusive user experiences.

Process Documentation:

• User Research & Discovery: Detail how you identify user needs, conduct market research, and define user personas for data-driven products.

• Design Iteration & Prototyping: Illustrate your approach to creating interactive prototypes, conducting usability testing, and iterating on designs based on feedback.

• Cross-Functional Collaboration: Describe how you collaborate with Product Owners, Data Engineers, and Developers to ensure design feasibility and successful implementation.

• Design System & Standards Adherence: Explain how you apply and contribute to design systems and ensure consistency across multiple products or platforms.

📝 Enhancement Note: For this role, a portfolio is not just a collection of work but a demonstration of a structured, data-informed, and user-centric design process applied to complex analytics environments. The ability to articulate the "why" behind design decisions and their measurable impact is paramount.

💵 Compensation & Benefits

Salary Range:

• Spain: Estimated annual salary range of €45,000 - €65,000 for a UX/UI Designer with 5-10 years of experience in Barcelona, depending on specific experience and qualifications.

• India: Estimated annual salary range of ₹1,200,000 - ₹2,000,000 for a UX/UI Designer with 5-10 years of experience in Bangalore, depending on specific experience and qualifications.

Benefits:

• Work-Life Integration:

  • Flexible schedule options to adapt to personal needs.
  • Hybrid work plan offering a balance between remote and office work.
  • Opportunity to purchase additional vacation days ("Holy Pack").
  • Floating Holidays for personal preference.
  • Up to 2 months of unpaid Sabbatical Leave ("Sabbatical Pack").
  • Comprehensive Global Family Leave Policy.

• Well-being & Health:

  • Access to the Wellwo health and wellness platform with content, nutrition, and fitness resources.
  • Access to a network of gyms and sports centers via Wellhub.
  • On-site medical service for convenient healthcare.

• Professional Empowerment:

  • AI-driven professional development platform (Career Hub) for internal opportunities and mentorship.

  • Stock ownership program to become a shareholder.

  • Recognition program for celebrating talent and success.

  • Life insurance for personal protection.

  • Flexible Remuneration Plan (health insurance, meal vouchers, childcare vouchers, etc.).

  • Employee discounts at various vendors ("Club Schneider").

  • Participation in company-subsidized volunteer programs. Working Hours:

• Standard full-time position, likely around 40 hours per week, with flexibility offered through the hybrid work model and flexible scheduling options.

📝 Enhancement Note: Salary estimates are based on industry benchmarks for mid-senior UX/UI Designers in Barcelona and Bangalore, considering the company's global presence and the specialized nature of designing for enterprise analytics platforms. The extensive benefits package emphasizes a strong commitment to employee well-being and professional growth.

🎯 Team & Company Context

🏢 Company Culture

Industry: Energy Technology, Automation, Digitalization, and Building Management. Schneider Electric is a global leader focused on sustainability and digital transformation.

Company Size: Large Enterprise (over 100,000 employees globally). This indicates a structured environment with established processes, global reach, and diverse opportunities.

Founded: 1836. With a long history, Schneider Electric combines established expertise with a forward-looking approach to innovation, particularly in digital solutions.

Team Structure:

• "Data & Performance" Mission: This team is dedicated to driving Group strategy execution by leveraging data for performance management.

• "Data" Streams: Focus on building and enhancing data foundations, connecting data, and establishing a single, trusted version of data across the Group.

• "Performance" Streams: Focus on leveraging the data environment to define, enhance, and publish performance metrics.

• "SE Intel" Application Team: A dedicated team working on the "SE Intel" application, which is expected to serve over 10,000 users globally.

• Reporting Structure: The SE Intel UX UI Designer reports to the SE Intel Business Product Owner within the Data & Performance / Governance domain.

Methodology:

• Agile Development: The role operates within Agile ceremonies, contributing to backlog refinement and sprint delivery, indicating a dynamic and iterative approach to product development.

• User-Centric Design: A strong emphasis on user research, usability testing, and data-driven improvements to ensure the platform meets user needs effectively.

• Data-Driven Insights: The core mission of the "Data & Performance" team is to leverage data for performance management, influencing all design and development decisions.

• Cross-Functional Collaboration: Close partnerships with Product Owners, Data Engineers, Analysts, and Visualization Developers are essential for successful delivery.

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

📝 Enhancement Note: Schneider Electric's commitment to sustainability and digital transformation, coupled with its "IMPACT" values (Inclusion, Mastery, Purpose, Action, Curiosity, Teamwork), suggests a culture that encourages innovation, collaboration, and a focus on making a positive global impact. The "Schneider Digital" division is at the forefront of this transformation.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned at a mid-to-senior level within the UX/UI design discipline, specifically focused on data analytics and business intelligence platforms. It requires a blend of strategic thinking (UX vision) and hands-on execution (designing dashboards, AI interfaces).

Reporting Structure: The designer reports to the SE Intel Business Product Owner, indicating a direct line of communication and collaboration with product strategy and roadmap definition. This provides significant influence over the product's direction.

Operations Impact: The SE Intel application is designed to provide data insights to all layers of the organization, from Executive Committee (ExCom) to country-level teams. The UX UI Designer's work directly impacts:

• Strategic Decision-Making: By making complex data accessible and understandable for leadership.

• Operational Efficiency: By enabling business leaders and analysts to quickly find and act on critical information.

• User Adoption & Engagement: By ensuring a positive and intuitive user experience for over 10,000 potential users.

• Digital Transformation: By being a key player in delivering a critical tool for data-driven performance management.

Growth Opportunities:

• Specialization in Data Analytics UX: Deepen expertise in designing for complex data, BI tools, and emerging areas like conversational AI for analytics.

• Leadership in UX Strategy: Grow into a lead UX role for the SE Intel platform or other digital initiatives, influencing design standards across the organization.

• Cross-Functional Mobility: Develop strong relationships with Product Management, Data Science, and Business Intelligence teams, potentially leading to roles in product management or analytics strategy.

• Global Impact: Contribute to a platform used by tens of thousands of employees worldwide, gaining exposure to diverse business needs and global operational challenges.

• Mentorship: With experience, opportunities to mentor junior designers or contribute to the broader UX community within Schneider Electric via platforms like Career Hub.

📝 Enhancement Note: The role offers a significant opportunity to shape a critical enterprise-wide analytics platform, providing high visibility and the chance to drive substantial impact within a global organization. The focus on AI and data analytics positions the designer at the cutting edge of digital transformation.

🌐 Work Environment

Office Type: Hybrid work model, combining remote work with presence in Schneider Electric's Digital Hubs. This suggests a modern, flexible work setup designed to foster both focused individual work and collaborative team interaction.

Office Location(s):

• Barcelona, Catalonia, Spain: Located in a major European innovation hub, offering access to a vibrant tech community and a large employee base.

• Bangalore, Karnataka, India: Situated in India's tech capital, providing access to a strong talent pool and global operational support.

Workspace Context:

• Collaborative Environment: The hybrid model encourages collaboration through planned office days, team meetings, and cross-functional project work. The presence of a Digital Hub suggests a modern office space designed for teamwork.

• Operations Tools & Technology: Access to industry-standard design and prototyping tools (Figma, Adobe XD, Sketch), BI platforms (Tableau, Power BI), and internal Schneider Electric systems.

• Team Interaction: Opportunities to interact with Product Owners, Data Engineers, Analysts, and other designers, fostering knowledge sharing and best practice exchange. The global nature of the SE Intel platform means interaction with international colleagues.

Work Schedule:

• While a standard 40-hour work week is expected, the "flexible schedule" benefit allows for adaptation to personal needs. This flexibility is crucial for operations roles that may require deep focus time for analysis and design, balanced with collaborative sessions.

📝 Enhancement Note: The hybrid nature and global distribution of this role mean that candidates should be comfortable with remote collaboration tools and asynchronous communication, in addition to in-person interactions during office days. The emphasis on "Digital Hubs" implies well-equipped modern offices.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: HR or recruiter call to assess basic qualifications, experience, and cultural fit.

• Hiring Manager Interview: Discussion with the SE Intel Business Product Owner to delve into experience, motivations, and understanding of UX for analytics.

• Portfolio Review & Design Exercise: Presentation of your portfolio, often followed by a practical design exercise or case study discussion related to dashboard design, data visualization, or AI-driven UX. This may be live or take-home.

• Team/Stakeholder Interviews: Meetings with Data Engineers, Analysts, or other Product Owners to assess collaboration skills and technical understanding.

• Final Interview: Potentially with a senior leader within Schneider Digital or Data & Performance team for final evaluation.

Portfolio Review Tips:

• Structure for Impact: Organize your portfolio to clearly showcase 2-3 key projects. For each, detail the problem, your role, the design process, the tools used, the solutions implemented, and most importantly, the measurable results (e.g., improved adoption, efficiency gains, user satisfaction).

• Focus on Data & Analytics: Emphasize projects where you've tackled complex data sets and translated them into user-friendly analytics dashboards or reports. Highlight your understanding of data visualization best practices.

• Demonstrate UX Process: Walk through your user research, wireframing, prototyping, and testing phases. Explain why you made specific design decisions.

• Highlight AI/Conversational Design: If you have experience with AI-assisted design or conversational interfaces, make sure to showcase this prominently, as it's a key focus for the SE Intel platform.

• Accessibility & Standards: Be prepared to discuss how you incorporate accessibility standards (WCAG) and corporate design systems (like Quartz) into your work.

Challenge Preparation:

• Understand the "SE Intel" Context: Research Schneider Electric's business, its focus on sustainability and digital transformation, and the purpose of an enterprise analytics platform like "SE Intel."

• Data Visualization Best Practices: Refresh your knowledge on effective chart types, color theory, data storytelling, and avoiding common visualization pitfalls.

• AI/Conversational UX: Familiarize yourself with current trends and best practices in designing user experiences for AI assistants and natural language interfaces.

• Agile Design Thinking: Be ready to discuss how you collaborate with Agile teams and adapt to iterative development cycles.

• Problem-Solving Scenarios: Prepare to discuss how you would approach designing a dashboard for a specific business problem (e.g., sales performance, operational efficiency, sustainability metrics).

📝 Enhancement Note: The portfolio review is likely the most critical stage. Candidates should proactively tailor their presentation to highlight relevant experience in data visualization, enterprise analytics platforms, and AI-driven UX, demonstrating a clear understanding of the role's unique challenges.

🛠 Tools & Technology Stack

Primary Tools:

• Prototyping & Design: Figma, Adobe XD, Sketch (proficient in at least one).

• Data Visualization & BI Platforms: Tableau, Power BI, or similar enterprise BI tools. Experience designing for these platforms is essential.

• Collaboration & Project Management: Jira, Confluence (common in Agile environments).

• Design System: Familiarity with adhering to and potentially contributing to design systems like Schneider Electric's Quartz.

Analytics & Reporting:

• User Behavior Analytics: Tools for tracking user interactions, adoption rates, and task success (e.g., Google Analytics, Mixpanel, Amplitude, or internal equivalents).

• A/B Testing Platforms: For data-driven iteration and optimization of designs.

CRM & Automation:

• While not a core focus for this UX role, understanding how CRM data (e.g., Salesforce) might feed into analytics platforms can be beneficial.

• Familiarity with data integration concepts is a plus.

📝 Enhancement Note: Proficiency in Figma and experience with major BI tools like Tableau or Power BI are likely non-negotiable. The role also implies a need to understand how data flows into these systems, so some awareness of data engineering concepts or data lake architectures would be advantageous.

👥 Team Culture & Values

Operations Values:

• IMPACT Values: Inclusion, Mastery, Purpose, Action, Curiosity, Teamwork. Candidates should be prepared to discuss how these values align with their work approach.

• Sustainability Focus: Schneider Electric's core mission is driving sustainability through technology. This ethos permeates its operations and digital initiatives.

• Data-Driven Performance: A strong emphasis on leveraging data to measure, manage, and improve business performance across all functions.

• Curiosity & Continuous Learning: The role requires staying abreast of evolving trends in UX, AI, and data visualization.

• Global Collaboration: Working effectively with diverse teams across different regions and cultures.

Collaboration Style:

• Cross-Functional Integration: The role demands close collaboration with Product Owners, Data Engineers, Analysts, and Business Stakeholders to ensure alignment and successful delivery of data insights.

• Agile & Iterative: A dynamic, team-oriented approach where feedback is regularly exchanged, and designs are refined iteratively.

• User-Centric Advocacy: Acting as a champion for the end-user within the product development lifecycle, ensuring their needs are central to design decisions.

• Knowledge Sharing: A culture that encourages sharing best practices, design patterns, and learnings across teams and projects.

📝 Enhancement Note: Candidates should demonstrate alignment with Schneider Electric's IMPACT values and a passion for sustainability and digital innovation. The ability to collaborate effectively across diverse, global, and cross-functional teams is paramount.

⚡ Challenges & Growth Opportunities

Challenges:

• Designing for Scale: Creating intuitive and effective user experiences for a platform expected to have 10,000+ users with diverse needs and technical proficiencies.

• Translating Complex Data: Simplifying highly complex datasets and analytical outputs into easily understandable and actionable insights for various user personas.

• Balancing AI Innovation with Usability: Integrating cutting-edge AI and conversational analytics features while ensuring they remain user-friendly, reliable, and accessible.

• Cross-Cultural & Global Consistency: Ensuring a consistent and high-quality user experience across different regions, languages, and cultural contexts.

• Adoption & Change Management: Driving the adoption of a new analytics platform and encouraging data-driven decision-making across the organization.

Learning & Development Opportunities:

• Advanced UX for Data & AI: Deepen expertise in specialized areas like data storytelling, AI-driven UX, and advanced data visualization techniques.

• Enterprise-Scale Design: Gain experience in designing for large, global enterprise software platforms, understanding the complexities of scalability and governance.

• Cross-Functional Skill Development: Enhance understanding of data engineering, business intelligence, and product management through close collaboration.

• Industry Conferences & Training: Opportunities to attend relevant UX, data visualization, and AI conferences, or pursue certifications.

• Mentorship & Leadership: Potential to mentor junior designers and grow into leadership roles within the Data & Performance team or Schneider Digital.

📝 Enhancement Note: The challenges presented are typical for enterprise-level analytics platforms, offering significant opportunities for professional growth and skill development in high-demand areas like AI UX and data visualization for business intelligence.

💡 Interview Preparation

Strategy Questions:

• "Describe your process for designing a dashboard to visualize complex operational efficiency data for a global executive team. How would you ensure it's both insightful and easy to understand?" (Focus on understanding stakeholder needs, data structure, visualization choices, and simplification).

• "How would you approach designing the user experience for an AI assistant within an analytics platform? What are the key considerations for prompt entry, response presentation, and user trust?" (Focus on AI UX principles, conversational design, and error handling).

• "Walk me through a time you had to advocate for a UX improvement that was met with resistance. How did you gain buy-in?" (Focus on communication, stakeholder management, and data-driven persuasion). Company & Culture Questions:

• "Schneider Electric emphasizes sustainability and digital transformation. How does this influence your approach to UX design, particularly for a data analytics platform?" (Connect your design philosophy to company values and goals).

• "How do you ensure inclusivity and accessibility (e.g., WCAG compliance) in your design work, especially when dealing with complex data visualizations?" (Demonstrate practical application of accessibility standards).

• "Describe your experience working in Agile environments. How do you collaborate with developers and product owners to deliver designs effectively?" (Highlight teamwork, iterative processes, and communication). Portfolio Presentation Strategy:

• Tell a Story: For each project, frame it as a narrative: the problem, the user, your design journey, the solution, and the impact. Use clear, concise language.

• Show, Don't Just Tell: Use visuals (wireframes, mockups, prototypes, final designs) to illustrate your points. Highlight key design decisions and their rationale.

• Quantify Impact: Wherever possible, present metrics that demonstrate the success of your designs. If direct metrics aren't available, discuss qualitative feedback or expected business outcomes.

• Address the Role: Tailor your presentation to emphasize aspects most relevant to this UX UI Designer role – data visualization, enterprise analytics, AI UX, and accessibility.

• Be Prepared for Deep Dives: Anticipate questions about specific design choices, user research methodologies, and technical constraints you encountered.

📝 Enhancement Note: Interviewers will likely be looking for a strong understanding of how UX principles apply specifically to data analytics and enterprise software. Candidates should prepare to articulate their design process with a focus on data literacy, user empathy, and measurable business impact.

📌 Application Steps

To apply for this SE Intel UX UI Designer position:

• Submit your application through the Schneider Electric careers portal via the provided link.

• Portfolio Customization: Ensure your resume and portfolio are tailored to highlight experience in data visualization, enterprise analytics platforms, AI-driven UX, and user-centered design methodologies. Prioritize projects showcasing complex data translation into intuitive interfaces.

• Resume Optimization: Integrate keywords from the job description naturally into your resume, focusing on achievements and quantifiable results related to UX/UI design for data products and analytics.

• Interview Preparation: Practice articulating your design process and project outcomes, focusing on the "why" behind your decisions and the impact of your work. Prepare examples for strategy, collaboration, and company values questions.

• Company Research: Thoroughly research Schneider Electric, its "IMPACT" values, its commitment to sustainability and digital transformation, and the "SE Intel" application's purpose within the "Data & Performance" mission.

⚠️ 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. The salary ranges provided are estimates for the specified locations and experience levels.