As the Senior Director, Product Data & Analytics, you are the enterprise owner of product master data - responsible for how it’s created, governed, maintained, and activated across the I2C/Go‑To‑Market (GTM) rhythm. You lead a high‑performing team that serves as the central authority and gatekeeper for seasonal product data, ensuring integrity at each I2C stage gate, and building the reporting, analytics, and insights frameworks that democratize data and drive better, faster decisions. You partner with Technology, Product Creation, Merchandising, and Master Data to evolve our data governance model, modernize tooling, and embed KPI‑led performance management so our business can plan confidently, course‑correct quickly, and deliver on time. This role will be based out of our North Vancouver or Portland office and is open to hybrid work. Candidates must be eligible to work in Canada or the United States. Meet Your Future Team The Process Operations team sits at the heart of Arc’teryx’s end‑to‑end value chain, leading enterprise‑wide alignment and advancing a culture of radical collaboration. We optimize the intersection of Product Creation, Supply Chain, Product Data, and Regional Go‑To‑Market, acting as an internal consultancy that identifies, designs, and implements process improvements and operating model changes. We establish the company’s I2C/GTM rhythm of business by standardizing calendars and tools, clarifying deliverables and decision rights, and embedding KPI‑led performance management. We govern product data, modernize reporting, and build capabilities that provide forward‑looking visibility, better planning, faster decisions, and on‑time seasonal delivery. As an essential thought partner to executive leadership and cross‑functional teams, we deliver clarity, consistency, and cohesion. If you were the Senior Director, Product Data & Analytics now, here are some of the core activities you would be doing: Own the product master data strategy and operating model; how data is created, validated, governed, and evolved across the product lifecycle and I2C stage gates. Build and lead a centralized Product Data & Analytics team that assumes ownership of core product data inputs (transitioning routine data entry away from merchants) and ties those inputs explicitly to GTM stage‑gate requirements. Establish a center of excellence (CoE) for seasonal product data and reporting processes, with clear decision rights, stewardship roles, and change control. Elevate data integrity through audit mechanisms, lineage and taxonomy management, and well‑documented change management; including complex issue triage and root‑cause resolution. Partner with Master Data, Product Management, and Technology to maintain a single source of truth across PLM/PIM/ERP and adjacent systems; recommend and prioritize systems upgrades or design changes where needed. Develop and maintain reporting & BI tools for Product Creation and cross‑functional partners; create training, guidelines, and adoption plans for end users. Deliver KPI reporting and analytics capabilities mapped to the I2C calendar; drive adoption of KPIs and BI tools across senior leadership and functional teams. Monitor key seasonal deliverables for completeness and accuracy; anticipate risks and enable faster decisions with proactive insights. Analyze data trends to surface actionable opportunities that improve product creation quality, speed, and commercial outcomes. Integrate with enterprise reporting and business intelligence, promoting leading practices in information management, protection, and application. Here are some of the things you could be working on in the future: Standing up a product data governance framework (people/roles/decision rights/SLAs) that scales with business growth and channels. Redesigning merchandising hierarchies, attributes, and taxonomies to improve data quality, searchability, and analytics usefulness across systems. Rolling out a data quality rules engine, issue backlog, and ROI‑tracking metrics for governance improvements. Implementing a self‑service insights layer (semantic models, curated datasets) that democratizes access while protecting data integrity. Leading migration and remediation for legacy product data; establishing clear access policies and controls. Delivering an insights framework that enables the business to pivot quickly, with standardized scorecards tied to I2C stage gates and executive readouts.
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Job Type
Full-time
Career Level
Director
Education Level
No Education Listed