Senior Manager, Data & Analytics Engineering

Skills
Warehouse OperationsCoachingData ScienceIT EscalationLeadershipMarketingModeling
Role

What the job involves

The main requirements, responsibilities and hiring steps.

Requirements

  • Direct management experience with data engineers and or analytics engineers including hiring coaching and performance management
  • Experience leading end to end data production from platform to analytics mart
  • Hands-on data infrastructure experience in pipeline orchestration warehousing and platform reliability
  • Hands-on SQL based modeling experience sufficient to evaluate modeling and metrics decisions
  • Track record of setting technical roadmaps and making investment cases to leadership
  • Ability to evaluate and communicate architectural and modeling tradeoffs to technical and non-technical stakeholders
  • Experience partnering with non-technical stakeholders to define metrics and resolve conflicting data priorities

Nice to have

  • Cross-functional
  • Strategic
  • Hands-on
  • Analytical
  • Collaborative

Day to day

  • Unify the data platform and analytics engineering work under one leader accountable for the full path from raw data to trusted tables and metrics.
  • Set and execute the technical roadmap across ingestion pipeline architecture modeling and the stakeholder-facing data layer, prioritizing work against business needs.
  • Directly manage Analytics Engineers and Data Engineers while reviewing architecture decisions guiding platform investments and resolving complex production issues.