Manager, Analytics Products & Data Science

Overview

The Manager, Analytics Products & Data Science is responsible for building and scaling advanced analytics products that enable better decision-making across North America Digital Commerce and Marketing teams. You will lead the end-to-end lifecycle of analytics products, from problem framing and data readiness through modeling, deployment, adoption, and performance monitoring so that insights translate into measurable business impact. Working closely with Digital Marketing, CRM and Technology, you will establish the operating model to strengthen Arc’teryx’s advanced analytics capabilities.

This role is based out of our North Vancouver office and is open to hybrid remote work. Candidates must be eligible to work in Canada.

The Ecommerce & Digital Marketing NAM team is responsible for developing our Ecommerce channel and all consumer-facing digital touchpoints for Arc’teryx North America. We are a high-performing team responsible for direct-to-consumer eCommerce (strategy & operations), Digital Marketing (CRM & paid), Analytics & Experimentation, Digital User Experience, and Digital Merchandising. The team works closely with many other teams, including Retail, Brand and Marketing Operations.

• Collaborating with the Digital Commerce, Marketing, and Data & Analytics engineering in owning the advanced analytics product roadmap for NAM (intake, prioritization, sequencing, and communication)
• Managing the end-to-end delivery of analytics products: problem framing, requirements, data readiness, modeling approach, validation, deployment plan, and adoption enablement
• Establishing “analytics product” standards (definition of done, documentation, monitoring, refresh cadence, QA checks, and governance) to ensure solutions are scalable and sustainable
• Partnering closely with Data Engineering to design production-grade pipelines, SLAs, and data quality controls for model inputs and outputs
• Designing measurement strategies to quantify value and impact of analytics products (e.g., uplift validation, incremental revenue/cost savings, adoption metrics)
• Coaching and enabling analysts to apply strong product thinking (MVP scoping, stakeholder alignment, decision-driven outputs) and reduce one-off analysis churn
• Collaborating with the Experimentation function to validate product impact using experiments or quasi-experimental methods where appropriate
• Driving stakeholder adoption through clear documentation, training, and self-serve outputs (dashboards, scoring feeds, and decision tools)

• Building the operating rhythm for an advanced analytics practice (quarterly planning, intake triage, delivery cadences, and executive readouts)
• Collaborating across NAM Analytics and Data Science Team to build reusable modeling frameworks and scale production-ready analytics
• Expanding advanced analytics adoption through enablement, governance, and integration into core Digital Commerce workflows
• Supporting future AI initiatives (e.g., GenAI search and agentic commerce) by defining data readiness, evaluation frameworks, experimentation strategies, and governance to ensure AI-enabled experiences drive measurable business impact

• You have a bachelor’s degree in a related field (Analytics, Data Science, Business, Economics, Engineering, or similar)
• You have 5+ years of experience in analytics, data science, product analytics, or related roles, with demonstrated experience shipping analytics solutions into production and driving adoption
• You have strong product and delivery leadership skills: ability to translate business problems into MVPs, manage a roadmap, and deliver through cross-functional dependencies
• You have solid technical fluency: SQL proficiency and working knowledge of Python (or similar) and data modeling concepts; comfortable partnering closely with Data Engineering
• You have experience with advanced analytics and/or ML methods (e.g., attribution, segmentation, forecasting/diagnostics, classification, uplift/causal methods)
• You have a strong understanding of measurement and experimentation principles; able to evaluate…