Yext (NYSE: YEXT) is the enterprise agentic marketing platform. AI is changing how customers find brands, and Yext gives enterprises the infrastructure to compete: Scout analyzes 10 billion signals monthly across four AI models to surface where you're losing and why, the Knowledge Graph maintains the verified data AI cites, and content generation and distribution agents syndicate brand content across LLMs, listings, social platforms, and review sites in real time. Thousands of brands in financial services, healthcare, retail, hospitality, and food rely on Yext to win across AI and traditional search. Join us and experience firsthand why we are consistently recognized as a Best Place to Work globally by Built In, Fortune, and Great Place To Work®.
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.
- 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-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: A background in managing data within a SOX-compliant environment, with a deep commitment to data privacy and access control.
- AI Enthusiast: A 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.
- Education: Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field.
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Pay ranges at Yext are established based on an analysis of salaries for positions with a similar level of accountability and impact in the relevant labor market. Salary levels are expected to change to reflect an employee’s job performance (results and impact) over time. Salaries at the time of hire are typically offered in the lower to middle of the above-referenced range in order to provide the opportunity to reflect performance-based increases over time. In addition to base salaries, employees at Yext are typically eligible for a comprehensive package of benefits including medical, dental and vision benefits; life insurance; short term and long-term disability; 401(k) retirement plan; and vacation and sick leave. Successful candidates may also be eligible for variable pay programs based on performance relative to goals and targets.
Yext is an equal opportunity employer committed to building a results-driven, engaging culture where every employee has the opportunity to contribute to the success of the Company, perform at the highest possible level, and grow their skills and capabilities. Yext welcomes employees and applicants of all backgrounds and demographics, and does not engage in discrimination on the basis of any protected characteristic recognized under applicable law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. The Company believes a broad variety of life experiences across the Yext team is critical to its mission to help every business in the world be visible everywhere customers search. By seeking out fresh perspectives and fostering a positive interview experience and employee experience, Yext can remain at the forefront of innovation, and better serve its customers.
It is Yext’s policy to provide reasonable accommodations to people with disabilities as required by applicable law. If you have a disability that requires an accommodation in completing this application, interviewing, or participating in the employee selection process, please complete this form.
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Skills Required
- 12+ years in Data Engineering, Analytics, or Business Intelligence
- At least 5 years in a senior leadership role
- Deep hands-on expertise in Snowflake (data warehouse) and warehouse performance optimization
- Deep hands-on expertise in Matillion or similar cloud-native ETL/ELT tools
- Advanced proficiency in Tableau and building executive-level reporting suites
- Experience defining and executing enterprise data strategy and self-service analytics roadmaps
- Proven experience establishing data governance, privacy compliance, and access controls (global regulations)
- Experience managing data in a SOX-compliant environment
- Experience standardizing and automating KPIs across GTM, Finance, and HR functions
- Proven ability to recruit, mentor, and lead data engineers, analysts, and architects
- Experience designing and ensuring reliable, scalable data ingestion and transformation pipelines with strong data quality controls
- Proven interest or early-stage experience implementing AI/ML frameworks, predictive modeling, or LLMs for internal use
- Strong strategic communication and stakeholder influence across functional and international teams
- Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or related quantitative field
What the Team is Saying
Yext Compensation & Benefits Highlights
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Healthcare Strength — Health coverage is presented as top‑quality, with comprehensive medical, dental, and vision plans. Mental‑health resources and wellness tie‑ins are also highlighted as part of a holistic program.
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Parental & Family Support — Paid parental leave is explicitly included and positioned as a standard benefit across regions. Additional family‑support elements such as family medical leave and an onsite Mother’s Room are described.
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Wellbeing & Lifestyle Benefits — Wellbeing programs feature a no‑cost Calm subscription, monthly ClassPass credits, and commuter benefits. Office‑based perks like free snacks/meals further round out day‑to‑day convenience.
Yext Insights
What We Do
Yext (NYSE: YEXT) is the enterprise agentic marketing platform. AI is changing how customers find brands, and Yext gives enterprises the infrastructure to compete: Scout analyzes 10 billion signals monthly across four AI models to surface where you're losing and why, the Knowledge Graph maintains the verified data AI cites, and content generation and distribution agents syndicate brand content across LLMs, listings, social platforms, and review sites in real time. Thousands of brands in financial services, healthcare, retail, hospitality, and food rely on Yext to win across AI and traditional search. Join us and experience firsthand why we are consistently recognized as a Best Place to Work globally by Built In, Fortune, and Great Place To Work®.
Why Work With Us
At Yext, we bring together curious thinkers and passionate problem-solvers who want to make a real impact. We celebrate internal growth, open communication, and creative ownership in a One Team environment. Here, individual growth fuels collective success — and everyone has a voice in shaping what we build next.
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Yext Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
