Summary
Julia Marden is a research associate and data librarian with 11 years of experience designing data programs, training teams, and building community-driven analytics for non-profits, libraries, and public agencies. Based in New York, she has led initiatives from launching the R Learning Lab at Columbia to standing up system-wide data stewardship and dashboards across multi-branch libraries at Carnegie Library of Pittsburgh. As an independent consultant she has helped city agencies and libraries turn messy operational data into actionable strategy while prioritizing equity, inclusion, and open data. A practiced community builder, she launched DataKind’s global chapter network and brings facilitation and training skills to technical projects, helping organizations adopt sustainable metrics and governance. Her background in public policy, library science, and grassroots organizing informs a pragmatic, justice-focused approach to data that centers people and institutional change.
11 years of coding experience
3 years of employment as a software developer
MA, Information & Library Science, MA, Information & Library Science at Pratt Institute
BA, Public Policy, Creative Writing, BA, Public Policy, Creative Writing at University of North Carolina at Chapel Hill