VP Analytics

Measurement rigor under commercial pressure — can hold a defensible number when a senior stakeholder wants a different one, and knows the difference between a directional read and a causal one.

Org design and economic thinking — structures analytics around the business's economic model rather than around features or requesters; has consolidated fragmented analytics functions before.

Experimentation and causal-inference depth — holdout design, incrementality, cannibalization testing, and the judgment to know when a clean experiment is not worth the cost.

Independence without isolation — scores the functions they partner with, and keeps the partnership intact while doing it.

Executive communication — translates measurement into decisions for an SLT audience without oversimplifying or hiding behind method.

Player-economy intuition — reasons fluently about deposits, wallets, incentive burn, tier migration, LTV and matchmaking fairness.

14+ years in analytics or data science with 6+ years leading multi-team organizations, including managers reporting in.

Owned analytics for a consumer product with a real-money, wallet or transactional economy — real-money gaming, fintech, marketplaces or online gambling strongly preferred.

Consolidated multiple analytics or BI functions into a single org, and built and governed a semantic or metric layer at scale (Snowflake or equivalent) with company-wide adoption.

Ran a mature experimentation programme including holdout and incrementality methodology, with demonstrable influence on monetization or acquisition decisions.

Operated as a credible peer to Product, Growth and Engineering leadership across multiple product lines; comfortable with ambiguity and with organizations mid-restructure.