AI Engineer supporting a leading healthcare client with GenAI and ML solutions. Position focuses on building and deploying scalable AI applications in GCP environments.
About the role
- Director of AI Analytics at Sur La Table driving data and AI decision-making across eCommerce and other functions. Leading analytics integration and establishing standards for data-driven insights.
Responsibilities
- 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.
Requirements
- 8+ years of experience in Analytics, Strategy, or Data Leadership roles.
- Demonstrated experience leading analytics across multiple business functions.
- Strong experience in commerce-driven businesses (retail, eCommerce, CPG, marketplace).
- Comprehensive knowledge of all traffic acquisition channels and their downstream impact on site behavior, using that expertise to develop reliable forecasts that drive strategic decision-making.
- Advanced SQL and strong analytical modeling capabilities.
- Demonstrated experience designing and governing AI-enabled analytics workflows.
- Strong capability to pressure-test AI-generated insights against data, customer behavior, and commercial logic.
- Hands-on expertise with Heap or similar event-based web analytics platforms.
- Comfort working with structured data formats (e.g., JSON), event schemas, and data instrumentation.
- Experience defining KPI frameworks and resolving cross-functional metric misalignment.
- Proven ability to translate complex data into clear, compelling stories that inform and influence executive decision-making - moving leadership from insight to action with confidence and conviction.
- Track record of proactive insight generation, not reactive reporting
- Ability to work standard Eastern Time business hours
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.
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