Manager, Analytics Engineering
Core
Lead and scale the Analytics Engineering team to build a trusted transformation layer that turns raw data into reliable, analytics-ready models for human and AI-powered consumption.
Role type
Manager, Analytics Engineering
Builds
Trusted analytical data models, transformation layers, and data foundations supporting reporting, experimentation, forecasting, and AI agents.
Domain
Health & wellness technology / Data & Analytics
Deliverable
production ML models | product features
Required skills
SQL, dbt, dimensional modeling, cloud data warehouse architecture, team leadership, software engineering practices (CI/CD, testing, code review), stakeholder management
Preferred skills
Semantic layer design, AI-powered analytics foundations, business intelligence tooling (Sigma), data observability and governance
Technologies
Snowflake, dbt, CI/CD pipelines
Responsibilities
Lead and develop the Analytics Engineering team (hiring, coaching, performance management); Own the health and evolution of the analytics transformation layer; Partner with Analytics to translate business requirements into scalable data models; Serve as interface between Analytics and Data Engineering; Establish Analytics Engineering standards; Set priorities and drive execution for the team; Build AI leverage into development workflows and data consumption.
Seniority
Manager, hands-on technical leadership