Formally, I’m a data architect and systems-oriented leader who builds large-scale data infrastructure for collaboration and decision-making in nonprofit, civic, and campaign environments. But at the heart of it all, I make messy systems behave and help people fall back in love with their data.

I build and guide integrated tech stacks for networks, organizations, and individuals doing complex, fast-moving work so they can coordinate their efforts, learn from what they’re doing, and make better decisions. Much of that work is about unifying disjointed, siloed systems so data feels useful instead of overwhelming. This shows up in my work in four connected areas: Data Infrastructure & Analytics, establishes the technical foundation for shared, reliable data; Learning & Evaluation, where teams step back and make sense of their work; Campaign, Civic, & Field Operations, where data and strategy combine to directly shape action on the ground; and Cross-Team Collaboration & Systems Strategy, where people, tools, and priorities are align so the work can move forward together. At every level, the work brings people, systems, and strategy into the same room and turns complexity into something teams can actually use.