Director, Enterprise Data & Analytics

What You'll Do

Data Strategy & Roadmap

• Define and execute a comprehensive enterprise data strategy that supports Yext’s scaling needs, focusing on high-performance architecture and self-service analytics.

Modern Data Stack Ownership

• Lead the technical management and optimization of our data ecosystem, specifically centered around Snowflake (Data Warehouse), Matillion (ETL/ELT), and Tableau (Visualization).

Functional Partnership

• Collaborate with leaders in GTM (Sales/Marketing), Finance, HR, and other corporate functions to define, standardize, and automate KPIs and "metrics that matter" for each corporate function.

Data Governance & Security

• Establish and enforce rigorous data governance standards, ensuring all enterprise data is secure, controlled, and compliant with global privacy regulations while maintaining a single source of reference.

AI & Innovation

• Act as the internal champion for AI and ML initiatives within the analytics space, identifying opportunities to leverage predictive modeling and LLMs to enhance business decision-making.

People Leadership

• Recruit, mentor, and lead a diverse team of data engineers, analysts, and architects, fostering a culture of curiosity, precision, and technical excellence.

Analytics Delivery

• Oversee the design and rollout of sophisticated Tableau dashboards and reporting solutions that provide executive leadership with real-time visibility into business performance.

Data Pipeline Excellence

• Ensure the reliability and scalability of data ingestion and transformation processes, prioritizing data quality and low-latency reporting.

What You Have

• 12+ years of experience in Data Engineering, Analytics, or Business Intelligence, with at least 5 years in a senior leadership role.
• Technical Mastery: Deep hands-on expertise in Snowflake and Matillion (or similar cloud-native ETL tools). Ability to architect complex data models and optimize warehouse performance.
• Visualization Expert: Advanced proficiency in Tableau; experience building executive-level reporting suites that distill complex data into clear business narratives.
• 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: Background in managing data within a SOX-compliant environment, with a deep commitment to data privacy and access control.
• AI Enthusiast: Proven interest or early-stage experience in implementing AI/ML frameworks to solve internal business problems.
• 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.
• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field.