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.
