Director, Ecommerce and Marketing Analytics

With 58 stores and the largest avocational cooking program in the US, Sur La Table offers an unsurpassed selection of exclusive and premium-quality goods for the kitchen and table – and the culinary expertise and inspiration to go along with it. Whether the job entails interacting with our customers, driving digital growth, or providing vital behind-the-scenes support, we’re all here for the same reason – to roll up our sleeves and create happiness through cooking and sharing good food.

Sur La Table is seeking a Director, Ecommerce and Marketing Analytics to define how data, insight, and AI drive decision-making across the company.

This role serves as the analytical hub of the organization
, supporting eCommerce, Marketing, Finance, Retail, Merchandising, Inventory Planning, and Operations. While embedded within the eCommerce organization, the mandate of this role is company-wide: to transform data into insight, insight into implications, and implications into clear recommendations that drive action.

This is not a reporting role. It is a foundational leadership role responsible for establishing analytical standards, governing AI-enabled workflows, ensuring data integrity, and elevating how decisions are made across the business.

This position will report into the Senior Director of Ecommerce.

• Company-Wide Insight Leadership

  • Serve as the primary analytics leader across eCommerce, Marketing, Finance, Retail, Merchandising, Inventory Planning, and Operations.

  • Own problem definition for analytics - determining which business questions matter and what decisions insights should inform.

  • Move analysis beyond “what happened” to “why it happened,” “how it happened,” and “what we should do next.”

  • Proactively mine data to identify risks, opportunities, inefficiencies, and performance drivers.

  • Influence senior leaders through clear implications and actionable recommendations.

• Data Integrity, Metrics & Standards

  • Own the integrity, governance, and usability of core commerce, customer, and operational datasets across platforms (eCommerce, POS, CDP, email, data warehouse).

  • Validate insights using business context and commercial logic — not just technical correctness.

  • Define, document, and continuously evolve company-wide KPI frameworks in partnership with Finance and functional leaders.

  • Identify and resolve cross-functional metric misalignment to ensure a single, trusted understanding of performance.

  • Establish standards for data quality, documentation, and analytical transparency across the organization.

• AI-Enabled Analytics & Insight Workflows

  • Leverage AI as a core component of advanced analytical work, including hypothesis generation, exploratory analysis, pattern detection, insight synthesis, and narrative development.

  • Design, operationalize, and scale repeatable AI-assisted workflows that support recurring company-level decisions (growth, margin optimization, inventory productivity, forecast alignment).

  • Establish validation frameworks to pressure-test AI-generated outputs against source data, historical performance, customer behavior, and commercial logic.

  • Embed AI-enabled insights into planning, forecasting, and executive performance reviews.

  • Promote responsible, explainable, and outcome-driven AI usage across analytics workflows.

• Web, Customer & Commerce Analytics (Heap)

  • Own web and digital analytics strategy using Heap, including funnel performance, customer journey analysis, and conversion optimization.

  • Ensure tracking integrity and event schema accuracy, including review of structured data formats (e.g., JSON, data layers) in partnership with Product Engineering.

  • Translate behavioral data into commercial implications that influence merchandising, marketing, inventory, and operational decisions.

  • Ens…