Head of Data & Analytics

About the role

Join Vanta as the Head of Data & Analytics, where you will lead a team of analysts and oversee the company's analytics and data platform. You will define and execute Vanta's data infrastructure strategy, partner with executives across various functions, and foster a culture of data-driven decision-making. You will also lead and grow a team of data scientists and analysts, as well as a data engineering team. This role requires strong expertise in SaaS companies, engineering, and technical architecture. Key missions: Definir y ejecutar la estrategia de infraestructura de datos de la empresa, estableciendo la visión sobre cómo se recopilan, gobiernan y utilizan los datos.. Colaborar con ejecutivos y líderes funcionales en Product, Marketing, Revenue y Finance para alinear las prioridades de datos con los objetivos comerciales.. Liderar y hacer crecer un equipo de científicos de datos y analistas que entreguen información procesable y desarrollen una hoja de ruta de análisis que conecte métricas operativas con objetivos estratégicos. Profile: - 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 - 15+ years of experience in data engineering and analytics, and a track record of leading high performing teams in these areas - 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 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 strong engineering and automation-driven approach to systems architecture, and experience using systems automation and AI to drive efficiency in business staffing - 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 - Experience establishing unified data definitions, governance processes, and mappings that ensure a single source of truth across systems and teams