Rain Lieberman

Led design critiques, stakeholder workshops, and collaborative discovery to align UX direction and delivery priorities across product teams, shaping MVP scope and roadmaps from concept through execution. Drove measurable results including 52% hospitalisation reduction and 18% customer retention gains, while building scalable design system components and AI-assisted prototyping workflows for faster

Led design critiques, stakeholder workshops, and collaborative discovery to align UX direction with delivery priorities and business goals. Delivered AI-assisted hiring and prototyping experiences, built design system foundations, and designed a performance tracking PWA for female athletes.

Engineered a patent-pending, model-aware formula system to eliminate financial logic errors before live plans. Architected enterprise budgeting and planning experiences, extending Sage design systems with tokens, component states, and Dev Mode to improve cross-functional collaboration.

Led discovery across candidate and recruiter journeys, identifying workflow gaps and opportunities to improve hiring transparency and decision-making. Streamlined recruiter workflows across onboarding, interview building, candidate review, and hiring pipelines, cutting hiring time by 50%.

Designed native iOS and Android apps enabling caregivers to monitor patient deterioration with 83% accuracy. Led research and persona development, prototyped low-to-high fidelity flows, and partnered with product managers and engineers to integrate design feedback.

Led end-to-end UX design for an enterprise resource matching platform used by KPMG, EY, and Deloitte teams. Partnered with engineering to implement scalable matching workflows and translated research insights into recommendations that supported stakeholder approval for a separate platform launch.

Drove iterative prototyping and user testing with domain experts to reshape product direction before launch. Designed accessible zone mapping for color-blind users and delivered an MVP in two months enabling $9M+ in carbon sequestration payments.

Designed explainable AI flows that surfaced ML risk score logic to enable faster, more defensible investigations. Translated ML outputs into end-to-end fraud detection investigation workflows through iterative testing with compliance analysts.

Completed a Master's degree in Product Design at London Metropolitan University in London.

Completed a Bachelor's degree in Architecture at the University of Westminster in London.