Senior Director, Analytics Engineering, Data Analytics & AI

The role

You will lead a team of 20+ Analytics Engineers to build and operate pipelines for revenue, bookings, people analytics, and go-to-market reporting. You will drive internal data transformation and own internal analytics agents within a governed data platform.

What you will do

• Lead and grow the Analytics Engineering organization by managing direct reports and setting technical strategy.
• Drive Snowflake's internal data transformation to create an AI ready data foundation.
• Build, improve, and maintain general purpose analytics agents and semantic layers.
• Champion AI-assisted engineering and drive adoption of Cortex Code-based agentic workflows.
• Act as Snowflake's customer zero by testing Snowflake features and engaging with Product and Engineering teams.
• Support GTM and Frontier Engineering teams through customer conversations and thought leadership.
• Push the boundaries of the stack by adopting latest internal Data and AI capabilities.
• Partner cross-functionally as the primary point of escalation for business stakeholders.
• Contribute team patterns and learnings to broader technical initiatives.

Required qualifications

• 10+ years of experience in analytics engineering, data engineering, or data architecture.
• Second line leadership experience managing managers or senior individual contributors across multiple teams.
• Deep expertise in Snowflake, including data modeling, data governance, and the broader Snowflake feature set.
• Expert-level dbt skills, including macro development, testing and CI/CD frameworks, and large-scale multi-team project management.
• Hands-on experience with Airflow or similar orchestration platforms.
• Track record owning finance- or revenue-critical, deadline-driven data pipelines.
• Familiarity with GTM and sales analytics domains.
• Advanced adoption of AI-assisted engineering tools including agentic skill development and prompt engineering.
• Record of driving large scale data transformation initiatives across complex organizations.
• Experience with downstream BI/consumption layers such as Streamlit, Sigma, Tableau, etc.
• Comfort working in a Jira/Confluence-based agile delivery model.
• Excellent written and verbal communication skills.

About the company

Snowflake empowers enterprises to achieve their full potential with Data & AI. The company has a culture focused on impact, innovation, and collaboration.