Senior User Experience Designer

Job Title:

Senior UX Designer
Exp:  10+ Years

Employment Type:

Full-time

Role Overview
We are seeking a Senior UX Designer who can lead end-to-end user experience work for web and mobile products, including customer-facing experiences and enterprise internal tools. This role requires strong user-centered design practice, excellent stakeholder communication, and the ability to collaborate closely with product, engineering, and delivery teams to ship high-quality digital experiences.

Key Responsibilities
Lead UX design from discovery to delivery: research inputs, problem definition, user flows, information architecture, wireframes, prototypes, and detailed UI specifications.
Translate user needs and business goals into clear experience strategies and interaction models that support measurable outcomes.
Plan and facilitate UX activities such as stakeholder interviews, usability testing, concept validation, and iterative design reviews.
Create high-quality UX artifacts: personas, journey maps, task flows, scenarios, service blueprints (as needed), and clear design documentation for delivery teams.
Design seamless, end-to-end journeys across touchpoints, reducing friction and improving engagement and conversion where applicable.
Contribute to enterprise UX improvements for internal tools and workflows that increase employee productivity and reduce operational complexity.
Partner with Product and Engineering in Agile delivery: support sprint planning, backlog grooming, and design QA to ensure build matches intent.
Maintain and evolve Figma component libraries and design systems for consistency, scalability, and speed across projects.
Collaborate with teams working on modernization and integration efforts to ensure UX remains cohesive across platforms and interconnected services.
Partner with data, analytics, and AI teams to design dashboards, insights experiences, and AI-assisted features that are understandable, usable, and trustworthy.
Define UX patterns for AI features such as search, recommendations, summarization, copilots/assistants, and insight explanations, including appropriate empty, loading, and fallback states.
Ensure AI experiences are transparent and safe: set expectations clearly (what the AI can and cannot do), provide explainability where needed, and design strong human-in-the-loop controls (review, edit, confirm, undo).
Design for responsible AI behaviors: bias and error awareness, user feedback loops, escalation paths, and clear guidance for sensitive or high-impact scenarios.
Use AI tools to improve design efficiency where appropriate (rapid exploration, content drafting, accessibility checks), while maintaining quality, originality, and consistency with the design system.
Ensure accessibility, clarity, and inclusive design practices are applied throughout the design process, especially for high-impact public-facing services.
Present designs with strong rationale, incorporate feedback effectively, and drive alignment across stakeholders.

Required Qualifications
10+ years of UX design experience delivering shipped digital products (web and mobile).
Strong portfolio demonstrating end-to-end UX work, including complex workflows and measurable outcomes.
Advanced proficiency in Figma (components, variants, libraries, prototyping) and modern design system practices.
Strong foundation in interaction design, information architecture, usability principles, and visual hierarchy.
Experience collaborating with product and engineering teams in Agile environments.
Ability to independently manage ambiguity, prioritize effectively, and deliver high-quality work with minimal supervision.
Excellent communication, facilitation, and stakeholder management skills.

Preferred Qualifications
Experience designing enterprise platforms, internal tools, dashboards, or workflow-heavy applications.
Experience in regulated or high-impact domains such as healthcare and/or public sector digital services.
Service design experience (service blueprints, omni-channel journeys, cross-touchpoint orchestration).
Working knowledge of accessibility standards (WCAG/Section 508) and plain-language design.
Familiarity with AI product design patterns and evaluation methods (prompting basics, model limitations, confidence/quality signals, and usability testing for AI outputs).
Exposure to modernization programs involving cloud migration or platform transformation.