AI-Powered Data Visualization

Context

Snowflake customers work with massive, heterogeneous datasets across analytics, engineering, and AI workloads. Visualization is how most people first understand what’s in the warehouse—and where AI can accelerate insight without replacing judgment.

Role

Design lead for AI-powered data visualization at Snowflake—partnering with product, engineering, and research on experiences that sit at the intersection of Human Data Interaction and modern data engineering.

Approach

• Treat AI as a collaborator in the analysis loop—not a black box that skips craft or accountability
• Design for information-dense, enterprise-scale data without sacrificing clarity
• Align visualization patterns with developer and analyst workflows so teams can reuse what ships
• Balance exploration, explanation, and export—what you see should hold up when shared downstream

Result

Ongoing: shipping visualization capabilities that help teams move from raw data to decisions faster, with interfaces designed for the scale and complexity Snowflake customers operate at every day.