Who you are
• You’ve led a data team inside a startup. You’re a player-coach, comfortable
writing SQL one day, pushing back on C-level the next. Startup experience is essential.
• You operate via contracts with source teams, not central ownership of every dataset.
You’ve held source teams accountable for data quality.
• You’re technically broad enough to make warehouse, ELT, and orchestration decisions.
Fluent in the modern data stack: a major BI tool (Sigma, Looker, Mode, Hex), dbt,
Postgres or Snowflake or BigQuery or Redshift, ingestion tooling like Fivetran.
• You have a real point of view on AI in data work and can describe what you’d try first.
• You connect data investments to revenue, cost, retention, and competitive position. You
bring questions, not just answers.