Sur La Table is seeking a Director of AI Analytics to define how data, insight, and AI drive decision-making across the company.
Requirements
- 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.
- 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.
- 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.
- 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.
- Ensure behavioral insights are aligned with downstream systems and financial realities.
- Reconcile demand, margin, inventory, and operational perspectives into cohesive performance narratives.
- Support planning, forecasting, and performance alignment across Finance, Retail, Merchandising, and Operations.
- Challenge assumptions and reframe business narratives using data-backed insight.
- Serve as a connector between commercial strategy and operational execution.
- Establish analytical standards that prioritize clarity, trust, commercial relevance, and decision impact.
- Reduce reactive ad hoc work by building scalable, decision-focused reporting and automation frameworks.
- Design the structure, workflows, and expectations for the analytics function.
- Hire, mentor, and develop junior analytics talent once foundational systems are established.
- Champion a modern, insight-driven analytics culture across the company.
Benefits
- Executive Access: Work directly with brand CEOs and senior leadership, solving real business problems and earning mentorship from top operators.
- AI-First Skill Building: Get hands-on with the most advanced AI tools in the market. From automation to prompt engineering, you’ll build a modern tech stack that sets you apart in any industry.
- Accelerated Career Path: High performers are quickly entrusted with greater responsibility, new challenges, and leadership opportunities across our portfolio of brands.
- Competitive benefits: Paid time off policies, 401(k)/RRSP match, medical/dental/vision and a variety of supplemental policies, and employee discounts at our portfolio companies.
