Define and execute Vanta’s company-wide data infrastructure strategy — setting the vision for how data is collected, governed, and used to drive outcomes.
Partner with executives and functional leaders across Product, Marketing, Revenue, and Finance to align data priorities with business goals.
Foster a culture of data-driven decision-making across Vanta through effective storytelling and clear communication
Create AI-first self-serve experiences so it’s easy for every Vanta’n to get the data they need
Lead and grow a team of data scientists and analysts that:
Delivers actionable insights
Develops an analytics roadmap that connects operational metrics with strategic goals, driving efficiency, growth, and customer impact.
Drives consistency and rigor in how we measure product success — ensuring shared definitions, trusted data, and transparency
Lead and grow a data engineering team that:
Develops, operates, and maintains Vanta’s internal analytics infrastructure, including Snowflake, DBT and Dagster - architecting and re-architecting these systems to enable efficient operations at scale as well as high availability, ease of use, and strong governance and security
Enables analysts, data scientists, and partner organizations to quickly and efficiently build analyses and answer critical business questions across all departments
Builds and maintains strong data pipelines that ensure data from our business systems and product efficiently and cleanly enters our data infrastructure.

Requirements

15+ years of experience in data engineering and analytics, and a track record of leading high performing teams in these areas
A demonstrated depth of subject matter expertise in SaaS, running the gamut from product-led growth and startups to sales-led growth and large enterprises
A deep understanding of modern data stacks (Snowflake, dbt, Airflow, etc.), data modeling, and integration frameworks to build a reliable, scalable analytics foundation, and the ability to build out and lead a team of Data Engineers doing this work
Skill in translating complex data into clear, actionable insights that shape Vanta’s direction, strategy, and priorities, and the ability to build out and lead a strong centralized team of subject matter expert Analysts and Data Scientists (ideally where these individuals provide embedded support to client teams)
A strong engineering and automation-driven approach to systems architecture, and experience using systems automation and AI to drive efficiency in business staffing
Experience establishing unified data definitions, governance processes, and mappings that ensure a single source of truth across systems and teams
Open to using AI to amplify their skills and strengthen their work - demonstrating curiosity, a willingness to learn, and sound judgment in applying AI responsibly to improve efficiency and impact.

Benefits

Industry-competitive salary and equity
Comprehensive medical, dental, and vision coverage, with 100% of employee-only benefit premiums covered for most medical plans
16 weeks paid Parental Leave for all new parents
Health & wellness stipend
Remote workspace, internet, and cellphone stipend
Commuter benefits for team members who report to the SF and NYC office
Family planning benefits
Matching 401(k) contribution with immediate vesting
Flexible PTO policy, plus 80 hours of Sick Time
11 company-paid holidays
Virtual team building activities, lunch and learns, and other company-wide events!

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data engineeringanalyticsdata modelingdata integration frameworksdata pipelinesAI-first experiencesdata governanceautomation-driven systems architectureactionable insightsSaaS

Soft Skills

storytellingclear communicationleadershipteam buildingdata-driven decision-makingcuriositywillingness to learnsound judgment