Director, Site Analytics and Experimentation (Remote)

This is a critical, senior leadership role. You will strategically own and elevate ezCater's entire data-driven optimization ecosystem, encompassing site analytics, advanced behavioral insights, and experimentation across all customer and supplier experiences. This role serves as the central point of truth for user interaction understanding, from discovery and conversion to fulfillment and delivery.

The ideal candidate is obsessed with maximizing business outcomes through optimization, data science, machine learning, and relentless customer-centric optimization. You will lead, mentor, and grow a high-performing team of Analysts, and Data Scientists, empowering them to generate new predictive signals, diagnose complex friction points, and shape the end-to-end user journey. You will champion the application of Artificial Intelligence (AI) and Machine Learning (ML) to drive personalization, forecast performance, and automate intelligent experimentation.

You will monitor and interpret performance across the full conversion and engagement funnel, connecting data to measurable business impact. You will partner deeply with Product, Engineering, and Marketing leadership to define the data strategy, implement best-in-class tooling, and institutionalize a culture of rigorous, data-informed decision-making.

What You'll Do:

• Own end-to-end site analytics and performance trends, including funnel health, conversion metrics, and behavioral analysis across all key customer and supplier journeys.
• Design and execute advanced statistical models and analyses to deeply understand user behavior, identify key drivers of growth, and forecast business metrics.
• Oversee and interpret A/B/n test results from experimentation platforms (like Eppo), providing definitive, statistically sound guidance on design, content, and feature decisions.
• Establish and maintain the data governance framework for web analytics and behavioral data, ensuring high fidelity, integrity, and compliance across all instrumentation (FullStory, Amplitude, etc.).
• Lead executive-level metric and trend reviews, translating complex data science and analytical findings into clear, actionable business strategies for the broader Product & Technology leadership team.
• Influence the technical roadmap for data tooling, including the selection and configuration of all web analytics, session replay, and experimentation systems to maximize team efficiency and insight generation.
• Lead and develop a team of Analysts and Data Scientists, setting the strategic roadmap for data insights, model deployment, and experimentation practices across the organization.
• Drive the integration of AI/ML to enhance site personalization, predictive customer segmentation, and automated anomaly detection, moving beyond descriptive reporting to prescriptive action.

What You Have:

• 10+ years of progressive experience in digital product, web analytics, or data science leadership for a B2B/B2C technology, e-commerce, or marketplace company.
• Proven experience leading, mentoring, and scaling a team that includes both product analysts and data scientists.
• Deep expertise in applying AI/ML techniques to solve business problems such as personalization, predictive modeling, and demand forecasting.
• Expert-level familiarity with the modern data stack: SQL, Python/R, cloud data warehouses (Snowflake), and advanced product experimentation tools (Eppo, Optimizely, LaunchDarkly).
• Mastery of core analytics platforms: Amplitude, Adobe Analytics, DataDog, and qualitative tools (FullStory, Hotjar).
• Exceptional critical thinking, with a deep understanding of advanced funnel analysis, causal inference, A/B testing methodologies, and behavioral diagnostics.
• Demonstrated ability to influence product and business strategy by communicating complex technical findings and data science concepts clearly to executives and cross-functional partners.
• Experience in defining site experience KPIs, event instrumentation requirements, and running high-impact Conversion Rate Optimization or web experiment roadmaps.
• A strong strategic bias toward action, using data not just to report on performance but to proactively connect insights to future business outcomes.

The national total target cash compensation range for this position, including base salary and bonus target, is $248,000 - $345,000 annually.*

*Please note: Final offer amounts are determined by multiple factors, including prior experience, expertise and region & may vary from the amount above. This range does not represent additional compensation benefits (such as equity, 401K or medical, dental or vision insurance).

Please have fun with the Cover Letter portion of the application! It does not need to follow “traditional” cover letter guidelines - we would love for you to write 150-500 words explaining why you are interested in ezCater and the role, and highlighting anything else you think we should know!