Move fast
and fix things.

I'm a product and technology leader who helps teams replace opinion-driven roadmaps with evidence-driven ones. In a world where AI makes output cheap, that shift is the difference between shipping more and shipping what matters.

“Goals in pen, plans in pencil.”

My work sits where there's a common gap: between technical depth and business outcomes. I partner across Data Science, Engineering, Product Analytics, and Marketing to turn complex inputs (models, data, customer signal) into decisions leadership can actually act on. That's where trade-offs become visible instead of buried.

That foundation took me into strategic leadership. I scaled a FinTech startup past a $1B valuation and led global UX for one of the largest Microsoft Teams deployments ever: 30,000+ employees across multiple countries. Today I lead a team of Data Product Managers and Analysts, partnered across Data Science, Data Engineering, and Product Analytics. Recent work: a Data Catalog that gave my organization structured visibility into its data assets for the first time, and an Executive Monitoring Board that turns KPIs into action for leadership, both built using Claude Code, Cursor, and MCPs to wire modern AI into how the business reads and acts on its data.

My belief: technology should serve people, not the other way around. The path there runs through listening to users and reading the right data, not louder opinions in the room. That belief travels well, inside a Product org or alongside one. Enterprise-grade thinking shouldn't be reserved for enterprises; smaller organizations, nonprofits, and civic groups deserve the same clarity, delivered practically.