Senior Director, Analytics Engineering, Data Analytics & AI

What you'll do

• Lead and grow a team of 20+ Analytics Engineers through team leads and managers, setting priorities and technical strategy.
• Build and maintain analytics agents, semantic layers, and AI-ready data foundations; drive AI-assisted engineering workflows.
• Partner with business, Product, Engineering, and go-to-market teams on roadmaps, customer conversations, and data transformation.

What they ask for

• 10+ years in analytics engineering, data engineering, or data architecture, including second-line leadership managing managers or senior individual contributors across multiple teams.
• Deep expertise in Snowflake, including data modeling, governance, and its broader feature set; expert-level dbt skills.
• Hands-on experience with Airflow or similar orchestration platforms.
• Track record owning finance- or revenue-critical data pipelines and driving large-scale data transformation initiatives.

Nice to have

• Familiarity with GTM and sales analytics; experience with downstream BI tools such as Streamlit, Sigma, or Tableau.
• Advanced adoption of AI-assisted engineering tools such as Cortex Code, Claude Code, or similar agent frameworks.

Pay

$292,000 – $383,250 USD base salary; equity and bonus offered, amounts not stated.

Tools

Snowflake, dbt, Airflow, Dynamic Tables, Streams, Tasks, Horizon, Cortex

AI focus

Create an AI-ready data foundation and own internal analytics agents; adopt Cortex Code-based agentic workflows and AI-assisted engineering tools, including agentic skill development and prompt engineering.