Role & Scope
• Led UX for Data Science and Analytics platforms, supporting data scientists, analysts, and business users working on pricing, assortment, forecasting, and store operations.
• Partnered closely with Product, Data Science, and Engineering to turn complex models into usable, explainable tools for real decision-makers.
• Acted as a hybrid UX technologist—designing in Figma while also prototyping front-end interactions to validate performance and feasibility.
Strategy & Adoption
Data science platforms | strategy and adoption
• Designed multi-tenant workbenches that unified disparate tools into a cohesive environment for experimentation, model deployment, and reporting.
• Simplified highly technical workflows (feature engineering, model selection, scenario analysis) into guided flows, reducing onboarding time for new users.
• Worked with data scientists to expose model assumptions and guardrails in the UI, building trust and helping business partners interpret results correctly.
• Established design patterns for high-information density screens that remained legible on shared team monitors and laptops in fast-paced environments.
Emerging Tech
STORE & MERCHANDISING TOOLS
• Translated advanced analytics into store-facing tools for pricing, promotions, display planning, and inventory allocation.
• Co-designed dashboards and workflows with store operators and merchants to ensure outputs were actionable in real time—not just interesting charts.
• Tuned interaction and visual design for quick scanning and decision-making under operational pressure (e.g., during resets, seasonal transitions, and promotions).
• Incorporated experimentation hooks so teams could A/B test new algorithms or UI flows without disrupting core store operations.
Platform Thinking
EXPERIMENTATION, MEASUREMENT & PLATFORM THINKING
• Advocated for platform-level consistency across internal tools, reducing cognitive load as users moved between products.
• Embedded experiment design into product planning, ensuring each release had clear hypotheses and measurable outcomes.
• Partnered with Engineering to define reusable components and layouts that could be leveraged across tools, accelerating delivery while preserving quality.
• Socialized findings through demos and internal roadshows, building excitement for data-driven, UX-led product development.
Note: I’m actively updating this section with a full case study for this position, including before/after states, outcomes, and team context.
