Director of Analytics Engineering
Core
Lead a high-performing Analytics Engineering team to build trusted, reusable data foundations, canonical datasets, and semantic layers that enable AI agents and analytical tools for Scribd's four product portfolio.
Role type
Director, Analytics Engineering (Strategic Leadership + Hands-on Technical Direction)
Builds
Canonical datasets, shared metrics, semantic layers, data quality/observability systems, and AI-driven analytical tools
Domain
Publishing & Media (Scribd, Slideshare, Everand, Fable) + Data Engineering & AI
Deliverable
production ML models | product features
Required skills
Analytics Engineering, Data Engineering, Team Leadership (5+ years), Semantic Layer Design, Data Governance, Advanced SQL, Modern Data Stack (AWS, Databricks, Airbyte, Fivetran, Looker), Cross-functional Strategy
Preferred skills
Python, Data Cleanup & Security Policies, Financial Analysis Data Models, Incident Response & On-call Leadership
Technologies
AWS, Databricks, Airbyte, Fivetran, Looker, SQL, Python
Responsibilities
Build and scale a high-performing Analytics Engineering team; Establish operating models and technical standards for data foundations; Connect analytics investments to company priorities; Guide technical decisions on data modeling, architecture, and governance; Communicate tradeoffs to senior leaders; Apply AI/Agentic coding pragmatically to increase team impact.