Director, Data & Analytics

Airbyte Airbyte · Data AI · San Francisco, CA · Data & Analytics

Airbyte is seeking a Director of Data & Analytics to own the data platform, including pipelines, warehouse, BI tools, and the data layer powering internal agents and activations. The role involves shaping strategy, supporting the launch of an Agentic Data Platform, and building the team. The ideal candidate has strong data engineering skills, a strategic data voice, a point of view on simplification, excellent communication, and curiosity around AI and its application in data analytics.

What you'd actually do

  1. Own the data platform end to end. Pipelines, warehouse, BI tools, and the data layer that powers internal agents and activations. You'll evolve it as our needs grow, and keep it lean and scalable.
  2. Shape strategy and decisions. Partner with leaders across the company, bringing sharp insights on usage, growth, retention, and product.
  3. Power our internal AI workflows. Our finance team, analysts, and operators increasingly query data through agents. You'll build the structured, well-modeled foundation that makes this reliable, and you'll be at the frontier of what "AI-native analytics" actually looks like in practice.
  4. Support the Agentic Data Platform launch with the data infrastructure that the team needs to ship and learn fast.
  5. Build the team pragmatically. Balance hiring with external support to stay lean and focused.

Skills

Required

  • SQL
  • modern warehouse stacks (BigQuery or similar)
  • dbt or equivalent
  • pipeline orchestration
  • translating product and usage data into decisions executives actually act on
  • simplification
  • lean and scalable data functions
  • excellent communication
  • board conversation
  • write a memo that lands
  • Curiosity and energy around AI
  • agents, LLMs, and modern AI tooling
  • Comfort with ambiguity and pace
  • Usage-based SaaS
  • PLG motions
  • rapidly evolving product surfaces

Nice to have

  • AI-native data leader

What the JD emphasized

  • Own the data platform end to end
  • Power our internal AI workflows
  • Support the Agentic Data Platform launch
  • Strong data engineering chops
  • A track record of being the strategic data voice in the room
  • Curiosity and energy around AI
  • agents, LLMs, and modern AI tooling as a core part of how data teams will work

Other signals

  • building the frontier agentic data infrastructure
  • AI-native landscape
  • AI-native data leader
  • analysts, operators, and executives interact with data through agents
  • data infrastructure and AI infrastructure is increasingly blurred
  • Power our internal AI workflows
  • finance team, analysts, and operators increasingly query data through agents
  • frontier of what "AI-native analytics" actually looks like
  • Support the Agentic Data Platform launch
  • Curiosity and energy around AI
  • agents, LLMs, and modern AI tooling as a core part of how data teams will work