- Design and build Playbook's data warehouse from the ground up in Dataform or dbt on BigQuery — defining our raw/staging/intermediate/marts architecture, modeling conventions, naming, and testing standards.
- Own our ingestion layer — manage and extend our Hevo setup across Stripe, production Postgres (AWS), Mixpanel, GA4, HubSpot, Meta Ads, Google Ads, Ahrefs, PostHog, and new sources as they come.
- Establish CI/CD, testing, and data quality practices for the warehouse — environments, automated tests, lineage, freshness checks, and alerting so we can trust what we ship.
- Be the Growth team's data partner — turn their questions into production-grade data models, define and codify business metrics (MRR, churn, LTV, CAC, activation, retention, attribution), and make self-serve analytics actually self-serve.
- Own, build, and evolve Playbook's creator-facing analytics product — the data layer that powers the metrics and insights creators see inside the platform about their own business performance.
- Support product and engineering teams on data-heavy features — partner on data models, pipelines, and metric definitions for features that rely on the warehouse.
- Own data requests across the company — triage, prioritize, and either solve them directly or invest in the models that unblock them at scale.
- Maintain and evolve our BI layer — making sure dashboards and reports are trustworthy, documented, and built on top of our modeled layer rather than raw tables.
- Set the direction for Playbook's data platform — what to build vs. buy, where to invest, and how the stack should evolve as we grow.
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