Most early-stage founders know data matters but have no idea where to start. I build the foundation from scratch - the tracking, the dashboards, the models - so your team decides off real numbers, not gut feel.
I've built the data function from zero three times at high-growth B2B SaaS.
Building and running data teams from scratch - owning the strategy, hiring the team, reporting to leadership. I've done this at Clearbit, Census, and Customer.io.
Solving specific problems with focused data work - attribution, churn prediction, pipeline reporting, scoring models. The kind of projects that actually ship.
What tools to pick, how to structure your data team, and what to build first - the kind of decisions I think about every day.
I've built data teams from scratch three times at high-growth B2B SaaS companies - always with too few resources, too many questions, and a GTM team that needed answers yesterday. It's my favorite kind of problem.
I'm technical enough to build it, commercial enough to know what matters - and I write about the wins, the mistakes, and the stuff that actually holds up in practice.
connect on linkedin →Building your data function from scratch, or fixing what's already there? Tell me where you're stuck.
julie@builtbybeynon.com or find me on linkedin →Send a note
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