A live role

Director, Analytics Engineering

from GitLab · read the original and apply on their site

Remote, United States

Our take: The real work here is making a whole company's data trusted and self-serve across dashboards, AI agents, and bespoke apps, while leading a team of eight and setting the long-range strategy.

If you love turning tangled data into one trusted source that anyone, human or AI agent, can question and get the right answer, this is your canvas. You will set the strategy for how a whole company reaches its data, lead a team of eight, and stay close enough to the modelling and the code to keep your calls credible. It suits someone pragmatic in ambiguity who would rather ship the right next version than wait for the perfect end state.

Needs

  • setting data direction
  • data modelling
  • building data apps
  • systems design
  • building a team
  • cross-team partnering

Rewards

  • writing clear specs
  • coaching the team
  • influencing executives
  • visible company impact

Demands

  • pragmatic in ambiguity
  • ruthless prioritising
  • governance and controls
  • shipping over waiting

Grows

  • leading at scale
  • developing leaders
  • frontier ai tooling
  • shipping often

Values

  • all-remote async
  • rigour and accuracy
  • learning culture
  • user self-service
  • measurable results

Drains

  • watching model costs
  • chipping at tech debt
  • access and security
  • budget vigilance

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