CSC Generation Logo

CSC Generation

Director, Ecommerce and Marketing Analytics

Reposted 5 Days Ago
Be an Early Applicant
Remote
Hiring Remotely in Ontario, ON
130K-145K Annually
Expert/Leader
Remote
Hiring Remotely in Ontario, ON
130K-145K Annually
Expert/Leader
The Director of eCommerce and Marketing Analytics will transform data into insights, lead analytics across multiple business functions, and establish AI-enabled workflows to drive decision-making.
The summary above was generated by AI

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.

What you get to do:

    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.
          • Ensure behavioral insights are aligned with downstream systems and financial realities.
          • Cross-Functional Integration

            • 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.
            • Leadership & Enablement

              • 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.

What you bring:

    • 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

What’s in it for you? Joining Sur La Table isn’t just about having a seat at the table—it’s about helping redesign the table entirely. You’ll be challenged, stretched, and supported as you grow faster than you thought possible. In addition to competitive compensation, we offer:

  • 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.

Our interview process:

  • 📞 Step 1: If you align with our vision and meet the qualifications, we’ll reach out to schedule a conversation and introduce Sur La Table. 
  • 🧠 Step 2: You’ll complete a short AI or product-building challenge so we can understand how you approach problems and execution. 
  • 💬 Step 3: Participate in deep-dive interviews with Sur La Table leadership focused on your experience, product mindset, and operational thinking. 
  • 📩 Step 4: Offer. We’ll move fast for the right candidate. 

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Our preference is for candidates who reside near our hub in Toronto.

The CSC family of brands provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, provincial, state or local laws.

The CSC family of brands is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need assistance or accommodation due to a disability, please contact [email protected].

Similar Jobs

7 Hours Ago
Easy Apply
Remote
Easy Apply
191K-191K Annually
Senior level
191K-191K Annually
Senior level
Artificial Intelligence • Blockchain • Fintech • Financial Services • Cryptocurrency • NFT • Web3
Design, build, and operate Kubernetes cluster management tooling and developer-facing workflows. Deliver compute capabilities (jobs, cron, deployments, EFS, right-sizing), automate toil, improve observability and incident response, and partner with Security/Reliability teams. Apply AI tooling to improve infrastructure automation and developer productivity.
Top Skills: ArgocdAWSCncfEc2EcsEfsEksEnvoyGCPGenerative AiHelmIamIstioKubernetesMesosNomadPrometheusVpc
7 Hours Ago
In-Office or Remote
CA, USA
200K-415K Annually
Expert/Leader
200K-415K Annually
Expert/Leader
Blockchain • eCommerce • Fintech • Payments • Software • Financial Services • Cryptocurrency
Lead development and production of underwriting and credit decisioning models across Cash App Borrow and Afterpay. Own full modeling lifecycle: problem formulation, feature engineering, training, calibration, experimentation, deployment, monitoring, and iteration. Build decision frameworks, agentic engineering workflows, and collaborate with cross-functional partners to align model behavior with business and regulatory goals.
Top Skills: AirflowAWSClaude CodeCopilotCursorFeature StoreGCPGitLightgbmMlflowModel Hosting PlatformNumpyPandasPrefectPythonPyTorchScikit-LearnSnowflakeSQLXgboost
7 Hours Ago
In-Office or Remote
CA, USA
229K-343K Annually
Expert/Leader
229K-343K Annually
Expert/Leader
Blockchain • eCommerce • Fintech • Payments • Software • Financial Services • Cryptocurrency
The Global Head of Sanctions will lead Block's sanctions compliance program, manage escalations, regulatory reporting, and engaging with external agencies while developing and implementing sanctions policies.
Top Skills: AICompliance ToolsDigital Asset TransactionsEu Sanctions RegimesMachine LearningOfacOfsi Sanctions RegimesUn Sanctions Regimes

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account