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Head of Data & AI

Burq · United States

External listingfull-time7 days ago

About The Role

Join Burq as the Head of Data & AI, where you will build a world-class data and machine learning platform. In this player-coach role, you will lead and grow the data and ML team while staying deeply hands-on. You will own the full data platform, define and enforce data governance, and build models that power delivery intelligence. You will also manage and grow the data and ML team, establish a clear intake process for ad hoc data requests, and partner with Sales, Customer Success, and Finance on data-driven analyses and decisions.

  • Construire une plateforme de données et d'apprentissage automatique de classe mondiale, en prenant des décisions architecturales et de modélisation difficiles.
  • Diriger et développer l'équipe de données et d'apprentissage automatique, tout en restant profondément impliqué dans le travail technique.
  • Posséder l'ensemble de la plateforme de données, y compris l'entrepôt, l'ingestion en streaming et par lots, la couche sémantique et l'infrastructure BI.
  • Player-coach — you lead a team and still go deep in the technical work: architecture, modeling, and code review
  • Strong stakeholder management — you can say no to an ad hoc request with a good reason and a better alternative
  • Familiarity with modern AI/LLM and agentic data work is a strong plus
  • Strong on both halves of the role:
  • Machine learning — you've built and shipped production models (forecasting, optimization, ranking/matching, or prediction) with real business impact, plus the ML systems around them (feature pipelines, serving, monitoring/MLOps)
  • Experience at a high-growth startup or scale-up where the platform was built, not inherited
  • 8+ years in data/ML, including 2+ years in a leadership or staff-level role owning a data or ML platform
  • Data platform — modern data warehouse design (e.g., Snowflake/BigQuery), streaming + batch ingestion, dbt or equivalent, performance and cost optimization, governance
  • Experience building data and ML products, not just pipelines — you understand how data and models serve product and business goals

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