Digital UX Consultant

📍 Job Overview

Job Title: Digital UX Consultant

Company: HEXAWARE

Location: India

Job Type: Full-Time

Category: User Experience (UX) Design & Digital Strategy

Date Posted: 2026-08-04

Experience Level: 5-10 Years

Remote Status: On-site

🚀 Role Summary

• This role focuses on providing expert UX design support for advanced analytics initiatives, specifically within the Helix team of the Neon Program.

• It requires a self-managing individual with a strong blend of UI visual design, UX design principles, and emerging AI tool knowledge.

• The consultant will be instrumental in shaping user experiences for complex data-driven products and platforms.

• Emphasis is placed on effective stakeholder communication and collaboration with product teams to ensure successful design implementation and adoption.

📝 Enhancement Note: While the title is "Digital UX Consultant," the core responsibilities and required skills are heavily skewed towards a Senior UX/UI Designer role, with a specific focus on advanced analytics and AI. The "consultant" aspect implies a need for strong advisory and communication skills in addition to design execution. The role is embedded within a program team, suggesting a project-based, results-oriented approach rather than a traditional external consulting engagement.

📈 Primary Responsibilities

• Lead and execute end-to-end UX design processes, including user research, wireframing, information architecture, prototyping, and usability testing for advanced analytics solutions.

• Develop intuitive and visually compelling user interfaces (UI) that effectively communicate complex data insights and analytics functionalities.

• Leverage knowledge of AI tools and their application in UX design to enhance user experiences and drive innovation within the Helix team.

• Collaborate closely with product managers, data scientists, engineers, and other stakeholders to define design requirements, gather feedback, and ensure alignment with program objectives.

• Translate user needs and business requirements into effective and user-centered design solutions, advocating for the user throughout the development lifecycle.

• Conduct user research and analysis to identify user pain points, opportunities, and inform design decisions for the Neon Program's advanced analytics features.

• Create and maintain design documentation, including user flows, wireframes, mockups, and prototypes, ensuring clarity and consistency for development teams.

• Present design concepts and research findings to cross-functional teams and senior leadership, effectively articulating design rationale and impact.

📝 Enhancement Note: The core responsibilities are inferred from the "Skillset Needed" and "Description" provided, emphasizing the practical application of UX/UI design skills within an advanced analytics context. The "self-managing" aspect suggests a high degree of autonomy in task prioritization and execution.

🎓 Skills & Qualifications

Education:

• Bachelor's or Master's degree in Human-Computer Interaction (HCI), Design, Computer Science, or a related field, or equivalent practical experience. Experience:

• 5-10 years of progressive experience in UX/UI design, with a proven track record of delivering successful digital products, especially in data-intensive or analytical environments.

• Demonstrated experience in self-managing UX design projects from conception to completion. Required Skills:

• UX Design: Strong understanding and practical application of UX design principles, including user research, information architecture, wireframing, user flows, and usability testing.

• UI Visual Design: Excellent visual design skills with a keen eye for aesthetics, layout, typography, and color theory, capable of creating polished and engaging interfaces.

• Prototyping Tools: Fluency and extensive experience using Figma for wireframing, prototyping, and high-fidelity design.

• AI Tool Knowledge: Good knowledge of current AI tools and their potential applications within the UX design process and for enhancing user analytics experiences.

• Communication: Strong written and verbal communication skills, with the ability to effectively articulate design decisions and collaborate with diverse stakeholders and product teams.

• Information Architecture: Proficiency in organizing and structuring content and features logically for intuitive navigation and user comprehension.

• Usability Expertise: Deep understanding of usability heuristics and best practices to ensure products are intuitive and efficient.

Preferred Skills:

• Research Experience: Prior experience conducting user research, including qualitative and quantitative methodologies, to gather insights and validate design hypotheses.

• Experience Design Principles: Solid grasp of broader experience design principles and methodologies beyond core UX/UI.

• Advanced Analytics Domain Knowledge: Familiarity with advanced analytics concepts, data visualization best practices, and the challenges of designing for data-driven applications.

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

📝 Enhancement Note: The required skills are directly extracted from the provided "Skillset Needed" section. Preferred skills are inferred based on the context of "Advanced Analytics," "Research experience would be appreciated," and common requirements for senior UX roles in complex tech environments. The experience level is derived from the ai_experience_level field.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Design Process Showcase: A portfolio demonstrating a clear and well-articulated UX design process, from initial problem definition and research through to final UI design and iterative improvements.

• Visual Design Execution: High-quality examples of UI visual design, showcasing strong aesthetic sensibility, attention to detail, and ability to create polished interfaces.

• Figma Proficiency: Evidence of complex projects executed primarily using Figma, illustrating proficiency in its features for wireframing, prototyping, and design system components.

• Impact & Results: Case studies that highlight the impact of your design solutions, ideally with quantifiable results or clear problem-solution narratives relevant to user engagement, efficiency, or data comprehension.

• AI Integration Examples (if applicable): Any projects that demonstrate the thoughtful integration or consideration of AI tools within the design process or the end-user experience.

Process Documentation:

• Candidates are expected to articulate their design process clearly during interviews, detailing how they approach user research, ideation, prototyping, and testing.

• Demonstrate an understanding of how to document design decisions, user flows, and interaction patterns for effective handover to development teams.

• Ability to explain how design processes are adapted based on project constraints, timelines, and feedback loops.

📝 Enhancement Note: Portfolio requirements are tailored to a UX design role, emphasizing the need to showcase the design process, visual execution, tool proficiency (Figma), and impact. The "AI knowledge" requirement suggests that any examples of leveraging AI in design or for analytics interfaces would be a significant plus.

💵 Compensation & Benefits

Salary Range:

• Given the location (India), experience level (5-10 years), and the specialized nature of UX design with AI knowledge in advanced analytics, a competitive salary range is estimated.

• Estimated Range: ₹15,00,000 - ₹25,00,000 per annum.

• This estimate is based on industry benchmarks for senior UX/UI designers in India, considering factors like cost of living, market demand for AI-skilled designers, and the typical compensation structure for roles within large IT service companies like Hexaware. Benefits:

• Comprehensive Health Insurance: Medical, dental, and vision coverage for employees and potentially dependents.

• Retirement Savings Plan: Contribution to provident fund (PF) or other retirement schemes.

• Paid Time Off: Annual leave, sick leave, and public holidays as per Indian labor laws and company policy.

• Professional Development: Opportunities for training, certifications, and attending industry conferences related to UX, AI, and analytics.

• Performance Bonuses: Potential for annual performance-based bonuses.

• Life Insurance: Group life insurance coverage.

• Employee Assistance Programs: Support services for well-being.

Working Hours:

• Standard full-time working hours, likely around 40 hours per week.

• The role is specified as "On-site," indicating a fixed work schedule at the company's location in India. Flexibility may be offered within standard business hours, but core hours will likely be expected.

📝 Enhancement Note: Salary range is an estimate for India based on the experience level and role specialization. Benefits are typical for full-time roles in large IT organizations in India. Working hours are inferred from the "Full-Time" employment type and "On-site" work arrangement.

🎯 Team & Company Context

🏢 Company Culture

Industry: Information Technology & Services, Consulting

Company Size: Large (10,000+ employees, based on typical Hexaware size)

Founded: 1990 (Hexaware)

Team Structure:

• The role is embedded within the "Helix - Advanced Analytics team" as part of the "Neon Program." This suggests a project-focused, potentially cross-functional team structure.

• The UX Consultant will likely report to a Design Lead or Program Manager within the Neon Program, with close collaboration with product managers, data scientists, and engineers.

• Collaboration is expected to be high, involving regular interaction with internal product teams and potentially client stakeholders if this is a client-facing project. Methodology:

• Emphasis on data-driven design and user-centered methodologies within an Agile framework.

• The use of modern design tools like Figma and an understanding of AI applications in design are key.

• A culture that likely values innovation, technical expertise, and strong communication to deliver complex solutions.

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

📝 Enhancement Note: Company information is based on general knowledge of Hexaware. The team structure and methodology are inferred from the job description's mention of specific teams and programs, and the nature of UX work in advanced analytics.

📈 Career & Growth Analysis

Operations Career Level: Mid-to-Senior Level UX/UI Designer

• This role represents a mid-to-senior level position within the UX/UI design discipline. It requires independent execution, strategic thinking in design, and the ability to mentor or guide junior designers if the team structure allows. The "consultant" title also implies a level of strategic advisory contribution. Reporting Structure:

• Likely reports to a Design Manager, Lead UX Designer, or Program Manager within the Neon Program.

• Will work in close collaboration with cross-functional teams including Product Management, Data Science, Engineering, and potentially client representatives. Operations Impact:

• The UX Consultant's impact is critical for the success of the Helix Advanced Analytics team and the Neon Program. By creating intuitive and effective user experiences for complex data products, they directly influence user adoption, efficiency, and the ability of stakeholders to derive value from analytics. This role bridges the gap between complex technology and human usability, driving business outcomes through better user engagement. Growth Opportunities:

• Specialization: Deepen expertise in UX for AI and Advanced Analytics, becoming a go-to specialist in this niche.

• Leadership: Potential to move into a Lead UX Designer role, managing design teams or specific design initiatives within larger programs.

• Cross-Functional Expertise: Develop a strong understanding of data science, AI, and product management, enabling a broader strategic contribution.

• Client Engagement: For client-facing projects, opportunities to lead design strategy discussions with clients.

• Continuous Learning: Access to Hexaware's training programs and resources to stay updated on the latest UX, AI, and design technologies.

📝 Enhancement Note: Career path and growth opportunities are inferred based on the role's seniority, the specialized domain (AI/Analytics), and typical career progression within large IT consulting firms.

🌐 Work Environment

Office Type: Corporate Office Environment

• The role is "On-site," indicating a traditional office setting within Hexaware's India-based facilities. This environment typically offers structured workspaces, meeting rooms, and collaborative zones. Office Location(s):

• Primary location is India. Hexaware has multiple large development centers across India (e.g., Mumbai, Pune, Chennai, Bangalore, Hyderabad). The specific office will depend on the team's assignment. Workspace Context:

• Collaborative: Expect a dynamic work environment with regular team interactions, design critiques, and cross-functional meetings.

• Technology-Rich: Access to standard office IT infrastructure, high-speed internet, and potentially specialized hardware or software for design and analytics. The company will provide the necessary software licenses (e.g., Figma).

• Team Interaction: Opportunities to engage with a diverse group of professionals, fostering knowledge sharing and collaborative problem-solving.

Work Schedule:

• Likely a standard 5-day work week (Monday to Friday), with typical office hours (e.g., 9 AM to 6 PM IST). Some flexibility might be available, but core hours will be expected for team synchronization.

📝 Enhancement Note: The work environment details are inferred from the "On-site" and "India" location, assuming a standard corporate IT services company setup.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: HR or recruitment team will review applications and conduct a brief introductory call to assess basic qualifications and cultural fit.

• Technical Interview / Portfolio Review: A key stage involving a deep dive into the candidate's portfolio. This will likely be with a senior UX designer or design lead. Expect to walk through 2-3 of your strongest projects, detailing your process, challenges, solutions, and outcomes. Be prepared to discuss your specific contributions.

• Hiring Manager Interview: Discussion with the hiring manager (e.g., Lead UX, Program Manager) to assess overall fit, strategic thinking, problem-solving skills, and alignment with team goals.

• Team/Stakeholder Interview: Potential interviews with key team members (e.g., Product Manager, Data Scientist) to evaluate collaboration skills and technical understanding within the context of advanced analytics.

• Final Round: May involve a final discussion with a senior leader or a take-home design challenge.

Portfolio Review Tips:

• Curate Strategically: Select projects that best demonstrate your skills in UX/UI design, information architecture, wireframing, and visual design, especially those related to data, analytics, or complex systems.

• Showcase Process: Clearly articulate your design process for each project. Use visuals like user flows, wireframes, and research insights to support your narrative.

• Highlight AI Relevance: If you have projects involving AI tools or designing for AI-driven features, emphasize them given the role's requirement.

• Quantify Impact: Whenever possible, include metrics or outcomes that demonstrate the success of your designs (e.g., improved user engagement, task completion rates, reduced errors).

• Figma Focus: Be ready to demonstrate your Figma skills, perhaps by showing your file structure or specific interactive prototypes.

• Conciseness: Be prepared to present your key projects within a defined timeframe (e.g., 15-20 minutes per project).

Challenge Preparation:

• If a design challenge is given, focus on understanding the problem statement thoroughly.

• Apply your structured UX process: define goals, identify users, brainstorm solutions, create wireframes/mockups, and justify your design decisions.

• Pay close attention to the specific requirements related to advanced analytics or AI if the challenge touches upon these areas.

• Practice presenting your solution clearly and concisely, highlighting your thought process and design rationale.

📝 Enhancement Note: The interview and portfolio review process is structured based on standard practices for senior UX/UI roles in tech companies, with specific emphasis on the portfolio and the AI/Analytics context.

🛠 Tools & Technology Stack

Primary Tools:

• Figma: Essential for UI design, wireframing, prototyping, and collaboration. This is explicitly mentioned as a required skill.

• Adobe Creative Suite (Optional but beneficial): Photoshop, Illustrator for advanced graphic design tasks.

• Prototyping Tools (Beyond Figma): Experience with tools like Sketch, InVision, Adobe XD may be transferable.

Analytics & Reporting:

• Data Visualization Tools (Familiarity): Understanding of tools like Tableau, Power BI, Looker, or custom dashboards used for presenting analytics insights is advantageous, as the role supports an advanced analytics team.

• User Analytics Platforms: Experience with tools like Google Analytics, Mixpanel, Amplitude for understanding user behavior.

CRM & Automation:

• While not directly in scope for this UX role, familiarity with how CRM systems (e.g., Salesforce) and marketing automation platforms integrate with user-facing applications can be beneficial for understanding the broader business context.

📝 Enhancement Note: The technology stack is primarily derived from the explicitly mentioned Figma requirement and the context of supporting an "Advanced Analytics" team, implying a need for familiarity with data visualization and user behavior analysis tools.

👥 Team Culture & Values

Operations Values:

• User-Centricity: A strong commitment to understanding and serving user needs through thoughtful design.

• Data-Driven Decision Making: Using research and analytics to inform design choices and measure impact.

• Innovation: Embracing new technologies like AI and exploring creative solutions to complex problems.

• Collaboration: Working effectively across diverse teams to achieve common goals.

• Excellence: Striving for high-quality design execution and impactful user experiences.

• Efficiency: Designing solutions that are not only functional but also efficient for users.

Collaboration Style:

• Cross-functional Integration: Expect to work closely with product managers, data scientists, and engineers, requiring clear communication and a shared understanding of project objectives.

• Feedback-Oriented: A culture that encourages constructive feedback on designs to foster continuous improvement.

• Knowledge Sharing: Practices that promote sharing of design insights, best practices, and learnings within the team and potentially across the organization.

📝 Enhancement Note: Team culture and values are inferred from common industry best practices for UX/UI roles, especially within technology and consulting firms, and the specific context of advanced analytics and AI.

⚡ Challenges & Growth Opportunities

Challenges:

• Complexity of Data: Designing intuitive interfaces for complex datasets and advanced analytical features can be challenging. Balancing power with simplicity is key.

• AI Integration Nuances: Effectively integrating AI capabilities into user experiences requires careful consideration of user trust, transparency, and ethical implications.

• Stakeholder Alignment: Ensuring all stakeholders (technical, business, user) are aligned on design vision and priorities.

• Rapid Technological Evolution: Staying current with advancements in AI, UX methodologies, and design tools.

• Self-Management: Thriving in an environment that requires significant autonomy and proactive task management.

Learning & Development Opportunities:

• AI in Design Specialization: Opportunities to become an expert in applying AI tools and principles to UX/UI design.

• Advanced Analytics Domain Mastery: Gaining deep insights into the field of data analytics and its user-facing applications.

• Cross-Disciplinary Learning: Exposure to data science, product management, and software engineering practices.

• Formal Training: Access to Hexaware's internal training programs, workshops, and potentially external certifications in UX, AI, or related fields.

• Mentorship: Opportunities to learn from experienced professionals within the Neon Program and Hexaware.

📝 Enhancement Note: Challenges and growth opportunities are derived from the specific nature of the role (UX for AI/Analytics) and general career development pathways in the IT industry.

💡 Interview Preparation

Strategy Questions:

• "Describe your process for designing a user interface for an advanced analytics dashboard. How would you handle presenting complex data visually?" (Focus on IA, data viz, user needs)

• "How do you approach integrating AI features into a user experience? What are the key considerations?" (Focus on AI ethics, transparency, user trust, practical application)

• "Walk us through a project where you had to balance conflicting stakeholder requirements. How did you manage it?" (Focus on communication, negotiation, design rationale)

• "How do you stay updated with the latest UX trends, design tools, and AI advancements?" (Focus on continuous learning, proactivity) Company & Culture Questions:

• "What do you know about Hexaware and its work in the digital/analytics space?" (Research company website, recent news)

• "How do you see your UX design skills contributing to an 'Advanced Analytics' team like Helix within the Neon Program?" (Connect your skills to their goals)

• "Describe your ideal team collaboration style, especially when working with data scientists and engineers." (Emphasize teamwork, communication) Portfolio Presentation Strategy:

• Storytelling: Structure each project presentation as a narrative: problem, your role, process, challenges, solutions, and outcomes/impact.

• Visual Clarity: Use high-resolution mockups and clear diagrams. Ensure your Figma prototypes are easily navigable.

• Process Emphasis: Detail how you arrived at your solutions, not just what the solutions are. Explain your research, ideation, and iteration steps.

• AI/Analytics Focus: If possible, highlight projects that demonstrate your ability to design for data-heavy applications or leverage AI principles.

• Be Prepared for Deep Dives: Expect questions about specific design decisions, tool usage, and your personal contributions.

📝 Enhancement Note: Interview questions are crafted to align with the role's specific requirements (UX, AI, Analytics, Consulting) and standard interview practices for senior design roles.

📌 Application Steps

To apply for this Digital UX Consultant position:

• Submit your application through the provided Oracle Cloud portal link.

• Portfolio Customization: Tailor your portfolio to highlight projects demonstrating strong UX/UI design, information architecture, wireframing, and visual design skills. Prioritize examples related to data visualization, analytics platforms, or complex software applications. If you have experience with AI tools or designing AI-driven features, ensure those projects are prominently featured.

• Resume Optimization: Ensure your resume clearly articulates your 5-10 years of experience, proficiency in Figma, knowledge of AI tools, and experience with UX research and design principles. Use keywords like "UX Design," "UI Design," "Figma," "AI," "Advanced Analytics," "Wireframing," "Information Architecture," and "Stakeholder Communication."

• Interview Preparation: Practice articulating your design process and rationale clearly. Be ready to present 2-3 key portfolio projects in detail, focusing on problem-solving, design decisions, and outcomes. Prepare to discuss your experience with AI and advanced analytics.

• Company Research: Familiarize yourself with Hexaware's services, particularly in digital transformation, analytics, and AI. Understand their approach to client solutions and company culture.

⚠️ 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.

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