Senior Director, Analytics Engineering, Data Analytics & AI
Core
Lead a team of 20+ Analytics Engineers to build and operate data pipelines for Snowflake's revenue, bookings, people analytics, and go-to-market reporting, while driving internal data transformation for an AI-ready foundation and managing analytics agents.
Role type
Senior Director, Analytics Engineering (Leadership)
Builds
Revenue and GTM data pipelines, AI-ready data foundation, analytics agents, and agentic workflows
Domain
Data & AI, Enterprise SaaS
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Analytics engineering leadership, Snowflake data modeling and governance, dbt expert-level development, data orchestration (Airflow), finance/revenue data pipeline ownership, GTM/sales analytics domain knowledge, AI-assisted engineering adoption, large-scale data transformation, BI consumption layer integration
Preferred skills
Second-line leadership experience, systems thinking, prompt engineering for data workflows, cross-functional stakeholder management
Technologies
Snowflake, dbt, Airflow, Cortex Code, Streamlit, Tableau, Sigma, Jira, Confluence
Responsibilities
Lead and grow the Analytics Engineering organization by setting priorities and technical strategy; Drive internal data transformation to create an AI-ready data foundation; Own Snowflake's internal analytics agents and semantic layers; Champion AI-assisted engineering workflows; Act as the customer zero for product testing; Represent Snowflake in customer conversations and thought leadership; Push the stack forward by adopting latest Data and AI capabilities; Partner cross-functionally to transform upstream processes; Represent teams upward and across the organization
Seniority
Senior Director, hands-on leadership
