Director of Enterprise Data & Analytics

Join Yext, a leading technology company, as the Director of Enterprise Data & Analytics. In this role, you will define and execute a comprehensive enterprise data strategy, lead the technical management of our data ecosystem, collaborate with corporate function leaders, establish data governance standards, champion AI and ML initiatives, recruit and mentor a diverse team, oversee analytics delivery, and ensure data pipeline excellence. You will have the opportunity to make a significant impact on the company's growth and success.

• Definir y ejecutar una estrategia integral de datos empresariales que apoye las necesidades de escalado de la empresa, centrándose en la arquitectura de alto rendimiento y la analítica de autoservicio.
• Liderar la gestión técnica y la optimización de nuestro ecosistema de datos, específicamente centrado en Snowflake (Data Warehouse), Matillion (ETL/ELT) y Tableau (Visualización).
• Colaborar con líderes en GTM (Ventas/Marketing), Finanzas, Recursos Humanos y otras funciones corporativas para definir, estandarizar y automatizar los KPI y "métricas que importan" para cada función corporativa.
• Visualization Expert: Advanced proficiency in Tableau; experience building executive-level reporting suites that distill complex data into clear business narratives
• AI Enthusiast: A proven interest or early-stage experience in implementing AI/ML frameworks to solve internal business problems
• Technical Mastery: Deep hands-on expertise in Snowflake and Matillion (or similar cloud-native ETL tools). You should be able to architect complex data models and optimize warehouse performance
• Education: Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field
• Strategic Communicator: Ability to influence stakeholders at all levels, translating technical data challenges into business outcomes and strategic recommendations
• Leadership experience with a proven ability to partner cross-functionally and on an international, cross-cultural basis
• Functional Fluency: Strong understanding of the data structures and key metrics for SaaS businesses associated with GTM (LTV, CAC, Pipeline), Finance (ARR, Churn, GAAP Revenue), and HR (Headcount, Attrition)
• Security Mindset: A background in managing data within a SOX-compliant environment, with a deep commitment to data privacy and access control
• 12+ years of experience in Data Engineering, Analytics, or Business Intelligence, with at least 5 years in a senior leadership role