Director, Data Analytics

Lead, hire, and develop a team of embedded analysts and data scientists across growth, product, markets, finance, risk, and institutional

Own the analytical standard including what makes an analysis rigorous, decision-ready, and honest about its assumptions

Partner with business leaders to set each function's analytical agenda, so your team works on what matters rather than on what was asked most loudly

Protect the embedded model. Analysts own outcomes inside their teams, not staffing a ticket queue

Build shared craft across a distributed team through review practices, experimentation standards, and a way for good work to travel between verticals

Partner with data platform leadership on the metrics layer, so definitions stay consistent and recurring analyses graduate into modeled datasets instead of living in notebooks

Own the analytics leadership sees, including company-level reporting and the numbers that go to the board and to investors

Develop analysts into senior individual contributors and future leads, and be straight with people about where they stand

10+ years in analytics or data science, including 4+ years managing analysts or scientists

Expert SQL, and enough statistical grounding to review an experiment design or a causal claim and catch what is wrong with it

Experience running an embedded or matrixed analytics team, and a clear point of view on where that model breaks down

Credibility with senior business stakeholders — you can push back on an executive with evidence and keep the relationship intact

A track record of developing analysts, including promoting people and managing others out when it was the right call

Strong prioritization instincts across functions with genuinely competing demands and no obvious tiebreaker

A hiring track record — you have built a team, not only inherited one

Comfortable operating in a fast-moving environment where business logic changes frequently and you need to keep pace

(Plus) Data science depth — experimentation design, causal inference, or predictive modeling

(Plus) Experience in a marketplace, exchange, or trading business where analytics sits close to the economics

(Plus) Experience in fintech, crypto, prediction markets, or other data-intensive financial products

Base salary range: $400,000 to $500,000 annually, plus equity and benefits.

This range reflects a good-faith estimate for this position. Experience levels vary widely within a title here, so please reach out even if your expectations fall outside it. We're always happy to chat.