Director, Data & AI (Hybrid)
Core
Lead strategy, execution, and people leadership for a 20+ person Data & AI org powering data platforms, analytics infrastructure, and production ML models.
Role type
Director, Data & AI (Hybrid)
Builds
Data platform, analytics infrastructure, production ML models, AI-powered product experiences
Domain
SaaS / SMB management / Data & AI
Deliverable
production ML models | product features | dashboards & analysis | infrastructure
Required skills
Data & AI strategy, org leadership (managing managers), modern data stack fluency, applied ML/AI systems, product instincts, AI-first mindset, cross-functional partnership
Preferred skills
SaaS/marketplace experience, data-as-a-product disciplines, experimentation platforms/causal inference
Technologies
Databricks, Unity Catalog, Airflow, dbt, MLflow, Baseten, Snowflake
Responsibilities
Define and execute technical roadmap across data engineering, data platform, data science, and applied AI; Lead and grow a 20+ person org; Drive data platform reliability, scalability, and governance; Accelerate applied AI and ML in product; Drive data science rigor with experimentation frameworks; Champion AI fluency org-wide; Set governance and standards for data quality and responsible AI; Partner cross-functionally with Product, Growth, GTM, Finance, and CX
Seniority
Director, hands-on leadership