User Experience Designer

India·BangaloreFull-timemid

Product DesignerDesign & Creative

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Quick Summary

Overview

This role is for one of Weekday’s clientsSalary range: Rs 5500000 - Rs 8700000 (ie INR 55 - 87 LPA) Min Experience: 12+ yearsLocation: Bengaluru, Karnataka,

Technical Tools

Product DesignerDesign & Creative

Requirements

~1 min read

Proven experience in UX design, user research, interaction design, service design, and information architecture.
Strong understanding of user-centred and human-centred design principles.
Experience conducting qualitative and quantitative research, including interviews, contextual enquiries, surveys, and usability testing.
Practical experience with Figma for task flows, wireframes, interactive prototypes, and developer-ready specifications.
Strong understanding of visual hierarchy, layout, typography, interaction states, and enterprise design systems.
Experience evaluating digital products for accessibility and inclusive design.
Ability to work effectively with architects, engineers, product managers, business analysts, risk teams, and governance stakeholders in agile environments.
Good working knowledge of enterprise and solution architecture, including capability models, APIs, integration, data flows, security, resilience, cloud, and automation.
Ability to translate technical constraints into coherent user journeys and practical design solutions.
Strong communication, collaboration, analytical, and problem-solving skills.

Responsibilities

~1 min read

Own research-led UX design for assigned products and services, ensuring user needs inform product priorities, journeys, and delivery decisions.
Plan and conduct user interviews, contextual research, surveys, and usability testing.
Translate research findings into user needs, personas, journey maps, service blueprints, and experience principles.
Develop information architecture, task flows, wireframes, interaction specifications, and low- to high-fidelity prototypes.
Continuously refine designs based on research evidence, user feedback, and usability findings.

Review architecture journeys, tools, interfaces, and artefacts for usability, accessibility, consistency, and clarity.
Conduct heuristic evaluations and accessibility reviews, identifying experience gaps and recommending improvements.
Validate keyboard navigation, focus order, screen-reader support, colour contrast, and content clarity.
Ensure experiences account for cognitive load, inclusive language, privacy, trust, transparency, and appropriate human oversight.
Work with accountable teams to resolve usability and accessibility issues before release.

Partner with architects and engineers throughout discovery, design, implementation, testing, release, and continuous improvement.
Translate research evidence into clear design requirements, backlog-ready user stories, and measurable acceptance criteria.
Assess technical feasibility and collaborate with architecture teams to balance user needs with integration, data, security, and engineering constraints.
Provide developer-ready specifications and conduct design quality assurance during implementation.
Coach architects and engineers on research, inclusive design, accessibility, and service design practices.

Define and maintain user-centred architecture principles, experience patterns, personas, journey views, and service blueprints.
Make architecture content, capability models, standards, and target-state designs understandable through effective information architecture and visual communication.
Identify fragmented journeys, inconsistent terminology, and unnecessary user effort, recommending reusable improvements.

Design self-service architecture journeys that help developers easily discover and apply standards, patterns, catalogues, and automated guidance.
Shape the information architecture, interaction patterns, and content design of enterprise architecture and API catalogues.
Prototype and evaluate automated design creation and review experiences, ensuring outputs are understandable and actionable.
Define UX acceptance criteria for AI-generated guidance, errors, exceptions, approvals, and human-review checkpoints.

Lead discovery and experience design for emerging digital capabilities and internal products.
Convert user insights into journeys, wireframes, prototypes, content, backlog items, and testable acceptance criteria.
Validate emerging technologies through realistic user scenarios, usability testing, and accessibility reviews.
Design transparent and trustworthy AI-assisted experiences with clear system status, provenance, limitations, user control, and escalation options.

Embed user-centred design, accessibility, and experience-quality criteria into architecture reviews, templates, and assurance workflows.
Evaluate proposed designs for user impact, inclusivity, journey consistency, accessibility, and adoption risks.
Present research findings, prototypes, usability insights, and experience risks to relevant design and governance forums.
Maintain traceability between user needs, research findings, design decisions, and implemented outcomes.

Define and monitor experience measures such as task completion, error rates, time on task, user satisfaction, accessibility findings, adoption, and support demand.
Analyse user feedback and use evidence to influence product and architecture decisions.
Maintain reusable UX artefacts, research findings, and design guidance to support consistency across enterprise architecture teams.

User-Centred Design
Human-Centred Design
Service Design

Prototyping
Wireframing
Figma

Strong user advocacy and the ability to balance user needs with business objectives, technical constraints, and regulatory requirements.
Systems thinking and an understanding of how technology, processes, policies, and data influence end-to-end user journeys.
Evidence-based decision-making and the ability to communicate research findings effectively.
Strong visual and written communication skills to simplify complex architecture concepts.
Ability to influence cross-functional teams through practical design expertise.
Responsible use of AI-assisted design and research tools, with appropriate protection of confidential and personal information.
Ownership of experience quality and timely escalation of accessibility, trust, safety, and adoption risks.

Adhere to organisational policies, code of conduct, values, and applicable regulatory obligations.
Identify, manage, and escalate relevant operational, financial crime, fraud, and other risks.
Protect research participants and user data through informed consent, data minimisation, confidentiality, and approved research practices.
Support a culture of responsible risk management and accountability.