Director, Enterprise Data & Analytics
Yext
| Company | Yext |
| Category | Data & Analytics |
| Location | New York |
| Remote | On-site (inferred) |
| Employment | Not stated |
| Level | Director |
| Salary | Not stated by the employer |
| Posted | 10 Jun 2026 |
| Last verified | 30 Jul 2026 |
| Source | Employer career page (greenhouse) |
Description
Yext is the leading global enterprise agentic marketing platform. For over 15 years, the world's most recognized brands in financial services, healthcare, retail, hospitality, and food have relied on us to keep their brand visible, accurate, and ahead of the competition across every search and AI surface that matters. We drive customer value through our technology, competitive intelligence, and agentic capabilities to win in an AI-first world. Our partners count on us for strategic, proactive guidance and capabilities, and that distinction shapes everything we build. Our team takes ownership, challenges each other's thinking, and turns ideas into results without waiting for a playbook. Those who perform at Yext are rewarded with increased scope, opportunities to tackle complex challenges, broader responsibilities, and meaningful development that enables them to grow alongside a company expanding through both product innovation and strategic acquisitions. The market is racing to adapt to AI, and Yext is at the forefront of that shift. Our ambitions are big, our innovation is accelerating, and the opportunity in front of us is enormous. If you want to do the most important work of your career, come join us! Yext is seeking a visionary and highly technical Director, Enterprise Data & Analytics to lead our data strategy and build a world-class analytics foundation. You will be responsible for the architecture, governance, and delivery of actionable insights across the enterprise. You are a leader who understands that data is only as good as its accuracy and security, and you are passionate about defining the "metrics that matter" to drive growth in GTM, Finance, HR., and other corporate functions. As we look toward the future, you will lead the charge in exploring how AI and Machine Learning can transform our internal data capabilities into a competitive advantage.
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). You should be able to architect complex data models and optimize warehouse performance.
Visualization Expert: Advanced proficiency in Tableau; experience building executive-le
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