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Sr. UX/UI Designer – Enterprise & Data Applications
HopHRLos Angeles, United Statesfull_timeVerifiedPosted 17 Apr 2026
About the role
Our client is a Tech/Family Office company serving the investments, foundations, and activities of a prominent family. With a broad mandate, the organization oversees diverse assets and programs, including multiple foundations and institutes. Across its entities, it manages hundreds of employees and oversees significant annual expenditures, ranging from grants and gifts to private investments and operational costs.
They are seeking a UX/UI Designer to own the end-to-end design of complex, data-intensive enterprise applications spanning grants administration, financial operations, and more. This is not a role for someone who needs every requirement handed to them. You will work in a fast-moving environment where stakeholder needs are often loosely defined, priorities evolve quickly, and your ability to drive clarity through design is as critical as your craft. The ideal candidate is an expert Figma practitioner, a rigorous systems thinker, and deeply experienced in designing interfaces that make large, complex datasets feel intuitive and actionable to real users.
Responsibilities:
- Own Design End-to-End: Lead UX/UI design for enterprise class applications independently from discovery through delivery — conducting research, producing user flows, wireframes, interactive prototypes, and pixel-precise high-fidelity mockups in Figma with minimal supervision.
- Drive Clarity from Ambiguity: When requirements are vague, competing, or incomplete — step in to facilitate, ask the sharpest questions, and define a path forward. Translate fuzzy business needs into crisp design briefs by showing stakeholders options, not asking open- ended questions.
- Design for Complex Data: Craft clear, scannable, high-performance interfaces for dashboards, data tables, reports, analytics views, and multi-entity workflows. Design for large datasets — pagination, filtering, sorting, drill-down, bulk actions — with the same care given to visual polish.
- Prototype Fast, Learn Faster: Build quick, functional prototypes in Figma — and with AI tools where appropriate — to put ideas in front of real users early, before engineering cycles are committed. Treat prototyping as your primary thinking tool.
- Master the Details: Go deep on every state: loading, empty, error, overflow, edge case. Produce Figma files precise enough to hand off without a single ambiguous pixel.
- Build and Own the Design System: Architect and maintain a comprehensive enterprise design system in Figma — component libraries, design tokens, variables, auto-layout patterns, and thorough documentation — that scales reliably across multiple applications and development teams.
- Leverage AI in Your Workflow: Actively use AI design and prototyping tools to accelerate output, explore interaction patterns, and design intuitive interfaces for AI-native features such as natural language dashboards, intelligent query tools, and automated reporting surfaces.
- User Research & Validation: Plan and conduct user interviews, usability tests, and contextual inquiry with internal stakeholders. Synthesize findings quickly and translate insights into concrete design decisions.
- Stay Embedded with Engineering: Participate in development handoff, review implementations against your specs, flag design drift early, and hold a high bar for what ships. Your job isn't done at handoff.
- Accessibility Without Compromise: Design to WCAG 2.1 AA standards as a baseline — embedding inclusive design principles throughout, not bolting them on at the end.
- Travel: Willingness to travel occasionally as needed to meet with stakeholders, conduct user research sessions, or support key project milestones.
Qualifications & Requirements:
- 5+ years of UX/UI design experience with a strong portfolio demonstrating mastery of complex, data-dense enterprise applications. Experience in fintech, investment management, or professional data tools strongly preferred.
- High agency.
- Expert-level Figma proficiency — component libraries, design tokens, variables, auto-layout, advanced prototyping, and Dev Mode handoff.
- Deep specialization in data-heavy interface design: tables, dashboards, analytics views, filtering systems, multi step workflows, and reporting interfaces for large, complex, multi-variable datasets.
- Demonstrated ability to thrive in fast-paced, ambiguous environments — comfortable starting from incomplete information, making well-reasoned assumptions, and iterating quickly as clarity emerges.
- Proven track record of driving clarity: shaping underspecified requirements into actionable design briefs, facilitating alignment across stakeholders, and moving work f
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