Lead Analyst UX Designer - AI

📍 Job Overview

Job Title: Lead Analyst UX Designer - AI

Company: Eaton Corporation

Location: Pune, Mahārāshtra, India

Job Type: FULL_TIME

Category: UX Design, AI Experience Design

Date Posted: 2025-06-11

Experience Level: Senior Level (8+ Years)

Remote Status: On-site

🎨 Role Summary

• Lead the research, design, and optimization of AI-driven user experiences, focusing on creating seamless and intuitive interactions for customers.
• Conduct comprehensive qualitative and quantitative user research to understand user needs, behaviors, and pain points related to AI solutions, translating insights into actionable design strategies.
• Collaborate extensively with cross-functional teams including business stakeholders, IT, marketing, and data analytics to gather requirements and advocate for user-centered design principles in the development of AI products.
• Influence product decisions by demonstrating the business value and user impact of AI-driven design solutions, leveraging web analytics and user feedback to drive continuous improvement in the customer experience.

🖼️ Primary Responsibilities

• Design, implement, and optimize user experiences specifically for AI-driven solutions, such as chatbots and AI agents, ensuring they are intuitive, efficient, and meet user information needs.
• Conduct in-depth qualitative research (e.g., interviews, usability studies) and quantitative research (e.g., analyzing web data analytics) to gather insights into user behavior and preferences for AI interactions.
• Develop user personas and customer journey maps to visualize and communicate user needs and experiences, advocating for these perspectives to diverse internal stakeholders including developers, marketers, and executives.
• Leverage the latest UX trends and Eaton's established journey methodology to create, test, and refine digital experiences tailored to specific user personas, industry types, and regions.
• Collaborate closely with IT and marketing teams to ensure ongoing understanding and compliance with best practices in AI UX design and user experience principles.
• Actively participate in agile methodology ceremonies (Scrum or Kanban) to contribute to the iterative development and improvement of AI solutions.
• Partner with divisional and regional business process owners to clearly define user problems, translate them into user stories, and contribute knowledge regarding the system implications of proposed user interface changes.

🎓 Skills & Qualifications

Education: Bachelor's degree from an accredited institution, preferably in Design, Human-Computer Interaction (HCI), Computer Science, or a related field focusing on user experience or AI. A Master's degree or relevant certifications in UX or AI are advantageous.

Experience: Minimum of 8 years of relevant UX experience, with a significant portion dedicated to designing experiences for complex digital products or AI-driven applications. A strong portfolio demonstrating expertise in UX research, design, and strategy for AI or similar technologies is essential.

Required Skills:

• Extensive experience using industry-standard design and prototyping tools such as Figma, Sketch, InVision, or Adobe XD.
• Proven experience in designing user experiences specifically for AI solutions, including chatbots, virtual assistants, or AI agents.
• Solid understanding of UX frameworks, including user research methodologies, developing user flows and journey maps, and conducting usability testing and heuristic evaluations.
• Experience working within large-scale application development environments and a strong understanding of the software development lifecycle.
• Familiarity with HTML, CSS, and JavaScript, and an understanding of how these technologies impact front-end user experience and design implementation.
• Strong self-management skills, ability to prioritize multiple projects with meticulous attention to detail, and a positive, proactive attitude.
• Excellent verbal and written communication skills, with the ability to clearly articulate complex design concepts and rationale to both technical and non-technical stakeholders, including senior leadership.
• Demonstrated ability to meet tight deadlines, manage multiple tasks concurrently, and adapt effectively in a fast-paced, sometimes ambiguous environment.

Preferred Skills:

• Experience defining and implementing UX strategies within an enterprise-level organization.
• Familiarity with web data analytics tools (e.g., Google Analytics, Adobe Analytics) and the ability to translate data insights into design recommendations.
• Understanding of SCRUM or other agile software development methodologies and experience working collaboratively within agile teams.
• Experience working with global teams and understanding the nuances of designing for diverse cultural contexts.
• Experience in defining and documenting design systems or pattern libraries.

🎨 Portfolio & Creative Requirements

Portfolio Essentials:

• Present 3-5 detailed case studies showcasing your end-to-end UX design process, particularly for complex digital products or AI-driven applications.
• Each case study should clearly articulate the problem statement, your role, the target users, research methodologies employed, design iterations, and the measurable impact of your design solutions.
• Include examples of your work with wireframes, user flows, prototypes, and visual designs that demonstrate your ability to translate research insights into tangible user experiences.
• Highlight projects where you specifically designed for AI interactions, such as conversational interfaces, intelligent recommendations, or automated workflows.

Process Documentation:

• Clearly document your approach to the research and discovery phase, including how you identified user needs, conducted qualitative/quantitative research, and synthesized findings for AI-specific contexts.
• Illustrate your ideation and iteration methods, showing how you explored different design solutions for AI interactions and refined them based on feedback or technical constraints.
• Detail your validation and testing approaches, including usability testing of AI interfaces, A/B testing of design variations, or methods for gathering user feedback on AI performance.

💵 Compensation & Benefits

Salary Range: ₹1,800,000 - ₹3,000,000 per annum (Estimated)

Benefits:

• Comprehensive health insurance coverage (medical, dental, vision) for employees and dependents.
• Provident Fund (PF) and Gratuity as per Indian labor laws, providing long-term financial security.
• Paid time off, including vacation days, sick leave, and public holidays, supporting work-life balance for creative professionals.
• Opportunities for professional development and training, including access to design conferences, workshops, and online learning platforms to stay current with AI and UX trends.
• Employee assistance programs and wellness initiatives promoting overall well-being.

Working Hours: Standard full-time working hours (typically 40 hours per week), with potential for flexibility to accommodate collaboration with global teams and creative workflows inherent in design roles.

🎯Team & Company Context

🏢 Company & Design Culture

Industry: Appliances, Electrical, and Electronics Manufacturing (Power Management)

Company Size: 10,001+ employees

Founded: Eaton Corporation has a long history as a global power management company, though the founding date wasn't explicitly provided, their extensive history indicates a well-established organization.

Team Structure:

• The role is within the Innovation and Partnership Value Stream, suggesting a focus on forward-thinking projects and collaboration with various internal and external partners.
• The UX team likely works closely with Data Analytics, IT, Marketing, and operational leaders, indicating a highly cross-functional environment.
• Reporting structure is not explicitly mentioned but is likely to a Design Manager or Head of UX within the Innovation stream.

Methodology:

• The team utilizes agile methodologies (Scrum or Kanban) for project execution, emphasizing iterative development and collaboration.
• The design process involves qualitative and quantitative user research, journey mapping, usability testing, and leveraging web data analytics.
• There is an emphasis on leveraging Eaton's existing journey methodology, suggesting a standardized approach to understanding and optimizing customer experiences.

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

📈 Career & Growth Analysis

Design Career Level: This is a Lead Analyst level role, equivalent to a Senior or Lead UX Designer. It requires significant experience (8+ years) and implies leadership in driving design initiatives, influencing strategy, and mentoring less experienced designers if applicable within the team structure.

Reporting Structure: While not explicitly stated, the role likely reports to a Design Manager, UX Lead, or a head within the Innovation and Partnership Value Stream. This position will likely involve collaborating with and potentially guiding other designers, researchers, and cross-functional team members.

Design Impact: Design plays a critical role in this position, directly influencing the usability, effectiveness, and adoption of Eaton's AI-driven experiences. The role is positioned to make significant decisions based on user insights and contribute to the overall digital strategy related to AI applications for customers.

Growth Opportunities:

• Potential for advancement to a Managerial or Principal UX Designer role within Eaton's growing design or innovation teams, focusing on strategic design leadership or deep specialization in AI UX.
• Opportunities to expand expertise in AI technologies, advanced user research methods, and the power management industry domain.
• Growth through leading increasingly complex AI design projects, mentoring junior designers, and contributing to the development of design best practices and frameworks within the organization.

🌐 Work Environment

Studio Type: On-site at the Eaton office in Pune, India. This suggests a traditional office environment with dedicated workspace.

Office Location(s): Pune, Mahārāshtra, India. Specific office details (address, facilities) would need to be confirmed, but Pune is a major technology hub in India with good infrastructure.

Design Workspace Context:

• Expect a collaborative workspace environment conducive to team interaction, brainstorming sessions, and cross-functional meetings with IT, marketing, and business teams.
• Access to necessary design tools, software, and potentially dedicated spaces for user research activities or usability testing.
• Opportunities for informal knowledge sharing and design critiques with other members of the design or innovation team.

Work Schedule: Full-time, on-site. While standard hours are expected, the nature of collaborating with global teams might require some flexibility in working hours occasionally.

📄 Application & Portfolio Review Process

Design Interview Process:

• Initial screening call with HR to assess basic qualifications and fit.
• Technical interview(s) with members of the design team and potentially the hiring manager, focusing on your UX process, experience with AI design, and problem-solving skills. Be prepared to discuss specific examples from your portfolio.
• Presentation of your portfolio/case studies, detailing your design approach, research methods, iterations, and project impact. This is a critical step to showcase your skills and thinking.
• Potential design challenge or whiteboarding session to assess your on-the-spot problem-solving abilities and design thinking process.
• Interviews with cross-functional stakeholders (e.g., Product Managers, Engineers, Business Leads) to evaluate collaboration skills and ability to communicate design rationale effectively.
• Final interview(s) with senior leadership to assess leadership potential and cultural fit within the Innovation team.

Portfolio Review Tips:

• Tailor your portfolio presentation to highlight projects most relevant to designing for complex digital products and AI interactions.
• For each case study, clearly explain the "why" behind your design decisions, linking them back to user research findings and business objectives.
• Emphasize your design process, showing how you moved from understanding the problem to ideation, prototyping, testing, and iteration, especially in the context of AI.
• If possible, demonstrate the impact of your designs using metrics or qualitative feedback.
• Be prepared to discuss challenges you faced and how you overcame them, showcasing your problem-solving skills.
• For AI projects, explain how you addressed unique challenges related to understandability, trust, and interaction patterns for intelligent systems.

Challenge Preparation:

• Review common design challenge formats (e.g., whiteboard challenges, take-home assignments) and practice structuring your approach.
• Focus on clearly articulating your thought process, asking clarifying questions, and exploring different solutions.
• For AI-related challenges, consider how you would design for user control, transparency, and error handling in intelligent systems.
• Be mindful of time constraints and prioritize key aspects of the design problem.

ATS Keywords: UX Design, User Experience, AI Solutions, Chatbots, AI Agents, User Research, Qualitative Research, Quantitative Research, Usability Testing, User Journey Mapping, User Flows, Wireframing, Prototyping, Figma, Sketch, InVision, Adobe XD, HTML, CSS, JavaScript, Agile Methodology, Scrum, Kanban, Customer Experience, Digital Transformation, Innovation, Stakeholder Management, Cross-functional Collaboration, Problem Solving, Communication Skills, Design Thinking, Interaction Design, Information Architecture, Data Analytics, Web Analytics, Design Systems, Enterprise Software, Power Management, Product Design, Human-Computer Interaction, UI/UX, Design Strategy.

🛠 Tools & Technology Stack

Primary Design Tools:

• Figma, Sketch, or InVision: Expected proficiency in at least one of these industry-standard design and prototyping tools for creating wireframes, user interfaces, and interactive prototypes.
• Adobe XD: Possible usage for UI design and prototyping.
• Other Prototyping Tools: Experience with tools like Axure RP or Principle might be beneficial for demonstrating complex interactions.

Collaboration & Handoff:

• InVision: Likely used for sharing prototypes and gathering feedback from stakeholders.
• Zeplin or Abstract: Potential use for design handoff to development teams and version control of design files.
• Jira or Azure DevOps: Used for project management and tracking design tasks within the agile workflow.

Research & Testing:

• UserTesting.com, Lookback, or similar platforms: Potential tools for conducting remote or in-person usability testing.
• SurveyMonkey or Google Forms: Used for creating and distributing surveys for quantitative user research.
• Web Analytics Tools (e.g., Google Analytics, Adobe Analytics): Essential for analyzing user behavior data and measuring the impact of design changes on AI experiences.

👥 Team Culture & Values

Design Values:

• User-Centered Innovation: A strong focus on understanding and meeting the information needs of customers through AI-driven experiences.
• Data-Driven Design: Decisions are influenced by qualitative and quantitative research, including web analytics and user feedback.
• Collaboration: Working effectively with diverse teams (business, IT, marketing, data analytics) is crucial for success.
• Continuous Improvement: Embracing an agile methodology and iterative approach to design and optimization.
• Advocacy: Championing the needs and perspectives of users within the organization.

Collaboration Style:

• Highly collaborative, requiring frequent interaction with cross-functional teams.
• Likely involves regular design critiques and feedback sessions to refine design solutions.
• Emphasis on clear communication and the ability to explain complex design concepts in understandable terms to various stakeholders.

⚡ Challenges & Growth Opportunities

Design Challenges:

• Designing intuitive and trustworthy user experiences for complex AI functionalities, addressing issues like transparency, control, and error handling in intelligent systems.
• Integrating AI-driven experiences seamlessly into existing digital platforms and customer journeys while maintaining consistency and ease of use.
• Translating complex technical capabilities of AI into understandable and valuable interactions for end-users with diverse needs and technical proficiencies.
• Working effectively across multiple teams and stakeholders with potentially varying priorities and technical understanding of AI and UX.

Learning & Development Opportunities:

• Opportunity to become a subject matter expert in designing for AI, a rapidly evolving and in-demand field.
• Exposure to enterprise-level AI implementation and the challenges of deploying intelligent solutions at scale within a large corporation.
• Development of leadership skills through guiding design initiatives, influencing strategy, and potentially mentoring other team members.
• Access to internal and external training resources to deepen knowledge in AI, advanced UX research techniques, and specific industry domains.

💡 Interview Preparation

Design Process Questions:

• "Walk me through your end-to-end design process for a recent AI-driven project. How did you identify user needs, ideate solutions, and validate your designs?" (Prepare a specific case study from your portfolio to illustrate this.)
• "Describe a challenging AI design problem you faced. How did you approach it, what were the key constraints, and what was the outcome?" (Focus on your problem-solving skills and ability to navigate complexity.)
• "How do you incorporate user research findings into your design decisions, particularly when designing for AI interactions?" (Be prepared to discuss specific research methods and how they informed your designs.)

Company Culture Questions:

• "How do you collaborate with cross-functional teams, such as engineers, product managers, and data scientists, throughout the design process?" (Provide examples of successful collaboration and communication strategies.)
• "How do you advocate for user needs and design principles within an organization, especially when faced with competing priorities?" (Share experiences where you influenced decisions based on user insights.)
• "What are your thoughts on the role of UX in the context of AI? How do you ensure AI-driven experiences are ethical, transparent, and user-friendly?" (Demonstrate your understanding of the unique challenges and considerations in AI UX.)

Portfolio Presentation Strategy:

• Start with a brief overview of your background and interest in designing for AI.
• Select 2-3 strong case studies that showcase your relevant experience, particularly in AI or complex digital products.
• For each case study, focus on the problem, your process (research, ideation, testing), your specific contributions, and the impact of your work.
• Be prepared to explain the "why" behind your design decisions and discuss any trade-offs or challenges encountered.
• Practice presenting your portfolio concisely and engagingly, highlighting your ability to think strategically and execute effectively.

📌 Application Steps

To apply for this design position:

• Submit your application through this link
• Customize your portfolio to prominently feature case studies demonstrating your experience in designing for complex digital products and AI solutions, clearly articulating your process and impact.
• Optimize your resume to include relevant design tools, methodologies (especially agile and user research), and keywords related to AI, UX, and the power management industry.
• Prepare for interviews by practicing explaining your design process, articulating your design decisions, and discussing how you collaborate with cross-functional teams, using examples from your portfolio.
• Research Eaton's Innovation and Partnership Value Stream, their existing digital products, and their approach to AI to demonstrate your understanding of the company and the role's context.