UX/UI Specialist for Data Practice

📍 Job Overview

Job Title: UX/UI Specialist for Data Practice

Company: Kyndryl

Location: Mexico City, Distrito Federal, Mexico

Job Type: FULL_TIME

Category: Data Consulting / Operations

Date Posted: 2026-05-26

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

Remote Status: Hybrid

🚀 Role Summary

• Spearhead the design and implementation of user-centric interfaces for data-intensive applications and platforms within Kyndryl's Data Practice.

• Drive the conceptualization and execution of data strategies, translating complex business and technical requirements into intuitive user experiences that enhance data accessibility and insight generation.

• Collaborate with data scientists, engineers, and business stakeholders to ensure seamless integration of UX/UI principles into the data lifecycle, from collection and storage to analysis and visualization.

• Lead and facilitate workshops, consulting engagements, and client interactions to understand user needs and advocate for best-in-class data product design.

📝 Enhancement Note: While the raw job title is "UX/UI Specialist for Data Practice," the detailed job description heavily emphasizes "Data Consultant" responsibilities, including strategic data application conceptualization, data strategy development, and client-facing engagements. This implies the role requires a blend of UX/UI design expertise with a strong understanding of data domains, analytics, and consulting methodologies. The "Specialist" title might refer to a focus on applying UX/UI principles specifically within a data context, rather than a traditional UX/UI role in a product development team. The "Data Practice" designation further reinforces the specialized nature of this role within Kyndryl's broader data consulting services.

📈 Primary Responsibilities

• Design and prototype intuitive, user-friendly interfaces for data dashboards, analytical tools, and data visualization platforms, ensuring optimal data exploration and insight discovery.

• Conduct user research, gather requirements, and translate complex data-related user needs into functional design specifications and wireframes.

• Collaborate with Data Engineers and Data Scientists to understand data structures, APIs, and backend processes, ensuring that UI designs are technically feasible and data-driven.

• Develop and maintain design systems and style guides specifically for data products, ensuring consistency, usability, and scalability across various platforms.

• Lead design thinking workshops and client consultations to define user journeys, map data workflows, and identify opportunities for UX/UI-driven improvements in data consumption and decision-making.

• Present design concepts, prototypes, and final designs to cross-functional teams and stakeholders, articulating the rationale behind design decisions and their impact on user experience and business outcomes.

• Stay abreast of emerging UX/UI trends, data visualization techniques, and big data technologies to continuously innovate and enhance the user experience of Kyndryl's data solutions.

• Advocate for user-centered design principles throughout the data development lifecycle, ensuring that the end-user's perspective is central to all design and implementation efforts.

📝 Enhancement Note: The job description highlights a significant consulting aspect for this role, framing it as a "Data Consultant." This suggests that beyond traditional UX/UI duties, the individual will be expected to lead client engagements, conduct workshops, and provide strategic recommendations related to data product design and user experience. This requires a strong consultative skillset, including business acumen, problem-solving, and excellent communication for client-facing interactions. The emphasis on "running and reimagine the mission-critical technology systems" and "accelerate the competitive performance of our customers" indicates a strategic, client-impact-focused approach.

🎓 Skills & Qualifications

Education: Bachelor's degree in Computer Science, Information Security, Human-Computer Interaction, Design, or a related field is preferred.

Experience: Proven experience in data consulting, UX/UI design, or a related role with a focus on data-intensive applications.

Required Skills:

• Demonstrated experience in UX/UI design, including wireframing, prototyping, and user interface design for complex applications.

• Proficiency in data visualization principles and tools, with the ability to design effective and insightful data dashboards.

• Strong understanding of analytics and data science concepts, enabling effective collaboration with technical teams.

• Experience with client-facing engagements, including workshop facilitation and presenting design solutions to diverse audiences.

• Excellent communication and interpersonal skills, with the ability to articulate design rationale and user needs clearly to both technical and non-technical stakeholders.

• Familiarity with data engineering principles and microservice architecture.

• Knowledge of methodologies such as CrispDM (CRoss-Industry Standard Process for Data Mining) and/or Six Sigma's DMAIC (Define, Measure, Analyze, Improve, Control).

Preferred Skills:

• Skills in planning, organization, analytical thinking, and problem-solving applied to design challenges.

• Comfortable working with statistical concepts and translating them into user-friendly interfaces.

• Experience developing and implementing design systems.

• Portfolio showcasing successful UX/UI design projects for data products or analytics platforms.

📝 Enhancement Note: The "Required Skills" section blends traditional UX/UI expertise with data consulting and data science knowledge. The emphasis on CrispDM/DMAIC and microservice architecture suggests a need for understanding the underlying data processes and technical environments. The AI-estimated experience level of 5-10 years aligns with the need for both design proficiency and consulting/strategic thinking capabilities.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• A curated portfolio demonstrating proficiency in UX/UI design for data-centric applications, including dashboards, analytical tools, and data visualization prototypes.

• Case studies showcasing the process of translating complex data requirements and user needs into effective, user-friendly interface designs.

• Examples of how design decisions have improved data accessibility, insight generation, or overall user experience in data-driven workflows.

Process Documentation:

• Evidence of utilizing user-centered design methodologies, including user research, journey mapping, and usability testing within data product development.

• Documentation of design system development or contribution, illustrating a systematic approach to creating scalable and consistent UI components for data platforms.

• Examples of presenting design strategies, user flows, and final interfaces to stakeholders, articulating the value proposition of the UX/UI design.

📝 Enhancement Note: Given the "Data Consultant" aspect, the portfolio should not just showcase visual design but also the strategic thinking and process behind creating user experiences for data. This includes demonstrating how the candidate understands data workflows and translates them into intuitive interfaces, rather than just creating aesthetically pleasing screens. Emphasis should be placed on the candidate's ability to problem-solve for data users.

💵 Compensation & Benefits

Salary Range:

Benefits:

• Comprehensive "Be Well" programs designed to support financial, mental, physical, and social health.

• Access to cutting-edge learning opportunities, including certifications with Microsoft, Google, and Amazon.

• Personalized development goals aligned with career ambitions.

• Continuous feedback and coaching for professional growth.

• Opportunities for hands-on experience with advanced technologies.

• Hybrid work environment supporting work-life balance.

Working Hours:

• Standard full-time working hours are expected, likely around 40 hours per week, with flexibility inherent in a hybrid work model.

📝 Enhancement Note: The salary estimate is based on research for UX/UI specialists and data consultants in Mexico City with 5-10 years of experience, considering the cost of living and typical compensation benchmarks for international tech companies operating in the region. Benefits are directly extracted from the provided text, highlighting Kyndryl's focus on employee well-being and development.

🎯 Team & Company Context

🏢 Company Culture

Industry: Information Technology Services, Consulting, and Business Solutions. Kyndryl is a global leader in running and reimagining mission-critical technology systems for enterprises.

Company Size: Large Enterprise (Kyndryl is a spin-off from IBM's managed infrastructure services, indicating a significant global workforce).

Founded: 2021 (as an independent company, spun off from IBM). Kyndryl leverages decades of experience inherited from IBM.

Team Structure:

• The role sits within the "Kyndryl Consultant Profession," implying a structured consulting practice with clear career paths and support systems.

• Collaboration is expected with other Kyndryl Consultants, Architects, Project Managers, and cross-functional Technical Subject Matter Experts.

Methodology:

• The company emphasizes a data-driven approach, utilizing AI-powered insights for clients.

• Consulting engagements will involve crafting "ingenious approaches to collecting, storing, analyzing, and visualizing data."

• Emphasis on understanding and applying methodologies like CrispDM and Six Sigma DMAIC for structured problem-solving and process improvement.

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

📝 Enhancement Note: Kyndryl's culture is presented as employee-centric, focusing on well-being, belonging, and growth. The "Kyndryl Way" emphasizes empathy and shared success. For a UX/UI Specialist in a Data Practice, this means an environment that values user advocacy and collaborative problem-solving, even within the context of technical data challenges.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned as a mid-to-senior level UX/UI Specialist, functioning effectively as a Data Consultant. It requires a blend of specialized design skills and broader consulting capabilities, indicating a significant level of autonomy and client interaction. The scope involves contributing to strategic client solutions and potentially leading design aspects of complex data projects.

Reporting Structure: The role reports into the Kyndryl Consultant Profession, working closely with project managers and other consultants. Direct reporting lines within the UX/UI or Data Practice team are likely.

Operations Impact: The UX/UI Specialist will have a direct impact on how clients interact with and derive value from their data. By designing intuitive and effective data solutions, they will enable clients to make smarter decisions, drive innovation, and achieve a competitive edge, directly contributing to Kyndryl's mission of running and reimagining critical technology systems.

Growth Opportunities:

• Specialization Advancement: Deepen expertise in UX/UI for data analytics, AI/ML interfaces, or specific industry data challenges.

• Consulting Leadership: Progress into senior consulting roles, leading client engagements, defining data strategy, and managing project teams.

• Technical Acumen: Enhance understanding of big data technologies, cloud platforms (Microsoft Azure, Google Cloud, AWS), and data engineering principles through Kyndryl's learning programs.

• Cross-Functional Expertise: Develop skills in project management, business analysis, and technical architecture through collaboration and training.

📝 Enhancement Note: The role's hybrid nature of UX/UI and Data Consulting suggests a unique growth path. Candidates can either specialize further in data-UX or pivot towards broader data strategy and consulting leadership roles, leveraging the provided learning and development resources.

🌐 Work Environment

Office Type: Hybrid work environment. This suggests a mix of remote work and in-office collaboration, balancing flexibility with team interaction.

Office Location(s): Primarily based in Mexico City, Distrito Federal, Mexico, with potential for client site visits within the region or remote collaboration with international teams.

Workspace Context:

• A collaborative environment is fostered, where team members work together on client projects.

• Access to modern tools and technologies is implied, supporting design and data analysis tasks.

• Opportunities for interaction with diverse teams, including consultants, architects, project managers, and technical subject matter experts, enriching the professional experience.

Work Schedule: Standard full-time hours (estimated 40 hours/week) with hybrid flexibility, allowing for structured workdays combined with remote autonomy.

📝 Enhancement Note: The hybrid model is a key aspect, offering flexibility while ensuring team cohesion and client engagement. For a UX/UI role focused on data, this means balancing deep work on designs with collaborative sessions for requirements gathering and solution validation.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A review of applications and portfolios to assess qualifications, experience, and alignment with the role's hybrid UX/UI and consulting requirements. Candidates should highlight specific data-related UX projects and consulting experiences.

• Technical/Design Assessment: Potentially a skills-based challenge or portfolio review session focusing on design thinking, data visualization principles, and problem-solving for data-related user scenarios. Be prepared to walk through your portfolio and explain design decisions.

• Behavioral & Situational Interviews: Interviews assessing communication skills, collaboration style, client-facing abilities, and understanding of consulting methodologies (e.g., CrispDM, DMAIC). Questions may focus on how you handle complex client requests or conflicting stakeholder needs.

• Final Interview: A discussion with hiring managers and senior team members to evaluate cultural fit, strategic thinking, and overall potential impact within the Data Practice.

Portfolio Review Tips:

• Curate Selectively: Showcase 3-5 strong projects that best represent your UX/UI skills applied to data, analytics, or complex systems. Prioritize projects with clear problem statements, your design process, and measurable outcomes.

• Highlight Data Context: For each project, clearly explain the data challenges, the user needs related to data consumption, and how your design solutions addressed these.

• Showcase Process: Detail your methodology – from research and wireframing to prototyping and iteration. Emphasize how you collaborated with technical teams.

• Quantify Impact: Whenever possible, include metrics demonstrating the success of your designs (e.g., improved data usability, faster insight generation, increased user adoption).

• Presentation: Be prepared to present your portfolio, articulate your design rationale clearly, and answer detailed questions about your process and decision-making.

Challenge Preparation:

• Familiarize yourself with common data visualization best practices and common pitfalls.

• Review basic data science and analytics concepts to understand the context of the data being designed for.

• Practice articulating design solutions to hypothetical data problems or client scenarios.

• Understand the core principles of CrispDM or DMAIC to discuss structured problem-solving.

📝 Enhancement Note: The interview process is expected to be rigorous, assessing not only design talent but also consulting aptitude and understanding of data. Candidates should prepare to demonstrate how their UX/UI skills directly contribute to business value and client success in a data context.

🛠 Tools & Technology Stack

Primary Tools:

• UX/UI Design & Prototyping: Figma, Sketch, Adobe XD, InVision, Axure RP (candidates should be proficient in at least one major tool).

• Data Visualization Tools: Tableau, Power BI, QlikView, D3.js (familiarity with these or similar platforms is crucial for designing effective dashboards).

• Collaboration & Project Management: Jira, Confluence, Asana, Microsoft Teams (for team communication and workflow management).

Analytics & Reporting:

• Familiarity with analytics platforms and how users interact with data reports.

CRM & Automation:

• While not directly a CRM role, understanding how data flows from CRM systems or is used in automated workflows can be beneficial.

• Knowledge of data integration concepts may be helpful for understanding the source of data for visualization.

📝 Enhancement Note: Proficiency in leading UX/UI design tools is essential. Furthermore, familiarity with popular data visualization platforms is critical, as the role involves designing interfaces for data consumption and analysis. Understanding the underlying data architecture and potential data sources will enhance the candidate’s effectiveness.

👥 Team Culture & Values

Operations Values:

• Belonging: Kyndryl emphasizes creating an inclusive environment where all employees feel valued and respected, fostering a sense of kinship.

• Empathy: A core value that drives how employees interact with colleagues, customers, and communities, ensuring a supportive and understanding approach.

• Restless Learning: A commitment to continuous improvement and skill development, encouraging employees to stay ahead of industry trends and technologies.

• Shared Success: A focus on collective achievement and collaboration, where the success of individuals, teams, and clients is celebrated together.

• Customer-Centricity: A drive to understand and exceed customer expectations, delivering transformative solutions that create lasting advantage.

Collaboration Style:

• Highly collaborative, involving cross-functional teams of consultants, architects, project managers, and technical subject matter experts.

• Emphasis on open communication, knowledge sharing, and a feedback-rich environment to drive innovation and continuous improvement.

• A consultative approach to client interactions, focusing on partnership and co-creation of solutions.

📝 Enhancement Note: The company culture strongly supports collaboration and continuous learning, which are vital for a UX/UI specialist in a data-focused consulting role. Understanding and embodying these values will be key to success within the Kyndryl Consultant Profession.

⚡ Challenges & Growth Opportunities

Challenges:

• Bridging the Gap: Effectively translating complex, technical data concepts and user needs into intuitive and actionable designs for diverse user groups (technical and non-technical).

• Data Complexity: Designing for vast and varied datasets, ensuring usability and performance without overwhelming users.

• Stakeholder Alignment: Managing expectations and requirements from multiple stakeholders with potentially conflicting priorities in data strategy and design.

• Rapid Technological Evolution: Keeping pace with advancements in data technologies, AI/ML, and UX/UI best practices to deliver cutting-edge solutions.

Learning & Development Opportunities:

• Specialized Training: Access to comprehensive learning programs focused on advanced data analytics, AI/ML interfaces, cloud platforms (AWS, Azure, GCP), and emerging UX/UI methodologies.

• Industry Certifications: Opportunities to earn certifications from leading technology providers like Microsoft, Google, and Amazon.

• Mentorship & Coaching: Benefit from guidance from experienced consultants and leaders within the Kyndryl Consultant Profession.

• Cross-Disciplinary Exposure: Gain experience working on diverse projects across various industries, broadening technical and business acumen.

📝 Enhancement Note: The primary challenge will be integrating deep UX/UI expertise with a strong understanding of data science and consulting practices. Growth opportunities are substantial, offering pathways to become a leader in data-driven design and consulting.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you had to design a user interface for a complex data set. What was your process, and what challenges did you overcome?" (Focus on methodology, problem-solving, and data context).

• "How do you ensure that your designs cater to both technical data analysts and non-technical business users?" (Demonstrate understanding of audience segmentation and tailored solutions).

• "Walk us through your experience with data visualization tools and principles. How do you decide what types of charts or graphs are most effective for specific data insights?" (Showcase analytical and design decision-making).

Company & Culture Questions:

• "What do you know about Kyndryl's mission and how the Data Practice contributes to it?" (Research Kyndryl's services, values, and recent news).

• "How do you embody Kyndryl's values of empathy, restless learning, and shared success in your work?" (Prepare specific examples from your career).

Portfolio Presentation Strategy:

• Structure Your Narrative: For each project, clearly state the problem, your role, the solution (your design), the process (your methodology), and the outcome (impact/results).

• Focus on Data Relevance: Emphasize how your UX/UI contributions directly addressed data-specific challenges or improved data utilization.

• Articulate Your "Why": Be ready to defend your design choices, explaining the rationale behind specific UI elements, data visualizations, or user flows.

• Demonstrate Consultative Skills: Frame your portfolio as evidence of your ability to understand client needs, solve problems, and deliver value through design.

📝 Enhancement Note: Preparation should focus on demonstrating a dual capability: strong UX/UI design skills and a solid understanding of data, analytics, and consulting. Candidates need to show they can be both a designer and a strategic advisor in the data space.

📌 Application Steps

To apply for this operations position:

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

• Curate Your Portfolio: Select 3-5 key projects that best showcase your UX/UI expertise in data-centric environments, emphasizing your design process, problem-solving skills, and impact on user experience with data.

• Tailor Your Resume: Highlight keywords and responsibilities related to Data Consulting, UX/UI Design for Data, Data Visualization, Analytics, CrispDM/DMAIC, and client-facing engagements. Quantify achievements where possible.

• Prepare for Design Challenges: Practice articulating your design rationale and problem-solving approach for hypothetical data-related UX scenarios. Be ready to present your portfolio and discuss your process in detail.

• Research Kyndryl: Understand Kyndryl's services, values, and their approach to data consulting. Prepare to discuss how your skills align with their mission and culture, particularly within the "Kyndryl Consultant Profession."

⚠️ 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.