The Manager is responsible for leading the lifecycle of analytics products to enhance decision-making in Digital Commerce and Marketing, ensuring product delivery, stakeholder adoption, and establishing analytics standards.
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.
Meet Your Future Team:
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.
If you were the Manager, Analytics Products & Data Science – NAM now, here are some of the core activities you would be doing:
- Collaborating with the Digital Commernce, 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)
Here are some of the things you could be working on in the future:
- 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
Are you our next Manager, Analytics Products & Data Science
- 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 impact and avoid overclaiming results
- You have experience with data visualization and enablement (preferably Power BI) and building self-serve decision tools
- You are an excellent communication and stakeholder management skills; able to influence without authority and align diverse teams to a common plan
- You are comfortable operating under ambiguity, managing multiple priorities, and maintaining a high-quality bar
- You are a team player and have experience working with cross-functional teams
- You are innovative and creative, with a logical and methodical approach to problem solving
- You are proactive in identifying the root cause of issues and developing creative solutions
- You remain highly flexible and adaptable when faced with ambiguity
- You inspire breakthrough thinking and continuous improvement
- Your passion for your work is paralleled by your passion for getting outside and living it
Equal Opportunity
Arc’teryx is committed to actively creating and fostering a culture of inclusivity where voices are heard, people are seen, and values are respected. We care about the uniqueness of our applicants, employees, and guests, and we do so in a safe space fueled by curiosity and acceptance.
Creating an inclusive workplace is connected to our core value Do Right while also having the added benefit of helping make our business better. We believe inclusion helps us to create a healthier, happier workplace, drive creativity and innovation, and reflect the communities where we operate.
All applicants, employees, and guests can expect equality of opportunity and fair treatment in alignment with our values.
Leave it Better
We believe that the mountains transform us, that how we adventure matters, and that there’s always a better way.
Join us in creating positive change in ourselves, our communities, and the world.
Live it. Get out there - the mountains make us better
Disruptive evolution. In pursuit of better. Always.
Commit. We set bold objectives and see them through.
Top Skills
Power BI
Python
SQL
ARC'TERYX North Vancouver, British Columbia, CAN Office
2220 Dollarton Hwy, North Vancouver, British Columbia, Canada, V7H 1A8
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