Summary
Joshua Mausolf is a quantitative and mixed-methods UX research leader with 11 years of experience translating large-scale behavioral data into product strategy at companies including Google, Meta, and JPMorgan Chase. Currently VP and UX Research Lead at JPMC, he built org-level UX analytics and co-founded a quantitative research taskforce to standardize metrics and elevate craft across teams. He combines statistical modeling, ML techniques, and scalable ETL with deep qualitative practice—surveys, interviews, and usability testing—to pinpoint customer friction and drive roadmap decisions. His academic background (PhD in Sociology, UChicago) informs rigorous research design and a rare focus on how macro social dynamics like affective polarization intersect with corporate outcomes. A former Data Science for Social Good fellow, he has operationalized reproducible machine-learning pipelines and open-source tooling for real-world institutional partners. Based in Seattle, he blends hands-on Python/SQL/R analytics with cross-functional leadership to turn complex datasets into clear product narratives.
11 years of coding experience
8 years of employment as a software developer
Bachelor of Arts (B.A.) Sociology, Bachelor of Arts (B.A.) Sociology at New York University
Associates of Art Liberal Arts and Sciences/Liberal Studies, Associates of Art Liberal Arts and Sciences/Liberal Studies at Northern Virginia Community College
Doctor of Philosophy (PhD) Sociology, Doctor of Philosophy (PhD) Sociology at University of Chicago
English, French, python, r, sql