Senior Manager, Global Pricing

• Lead the evolution of Canada Goose's global pricing capability within the Merchandising function
• Establish a strategic, globally consistent approach to price setting and execution across categories, regions, and channels
• Define and maintain global pricing architecture across categories, geographies, and channels
• Develop pricing recommendations balancing customer value, willingness to pay, brand equity, commercial growth, margin attainment, and regional competitiveness
• Facilitate cross functional pricing discussions and establish appropriate inputs, stakeholders, and escalation paths
• Partner with Merchandising, Finance, Regional Commercial teams, DTC, and Wholesale to embed pricing input across the GTM calendar
• Translate product strategy, assortment intent, historical performance, competitive positioning, and customer demand signals into pricing guardrails
• Define when global pricing consistency should be maintained and when regional or channel specific adjustments are justified
• Champion adoption of pricing processes across Merchandising, Planning, Finance, Regions, DTC, and Wholesale
• Lead pricing analytics, including price performance, elasticity, margin, and competitive price positioning
• Design pricing tools and dashboards to improve visibility, decision making speed, and performance
• Establish feedback loops connecting in season and post season performance to future pricing strategy
• Partner with Technology, Data, and Finance to improve pricing data quality, automate analyses, and define requirements for pricing tools, dashboards, and integrations
• Lead, develop, and elevate the Global Pricing team
• Build a team culture grounded in analytical rigor, commercial judgment, cross functional partnership, and continuous improvement
• Act as a senior pricing thought partner to Merchandising and executive leadership

Requirements

• 8-10 years of experience in pricing strategy, commercial planning or finance, revenue management, retail analytics, or related functions
• Experience in luxury retail, apparel, consumer goods, or global branded products strongly preferred
• Ability to balance brand positioning, customer value, competitive dynamics, and financial objectives
• Experience developing pricing frameworks, governance models, decision rights, and repeatable business processes
• Strong analytical capability, including pricing models, margin analysis, elasticity, price corridors, SKU productivity, and scenario modeling
• Experience partnering with senior stakeholders across Merchandising, Finance, Commercial, Channel, and Technology teams
• Experience leading teams and building capabilities in a matrixed, global organization
• Strong communication skills and ability to translate complex analysis into clear executive recommendations
• Advanced proficiency in Excel
• Experience with business intelligence and data analytics tools
• Working knowledge of SQL, Python, or R preferred
• Bachelor's degree in Business, Finance, Economics, Merchandising, Analytics, or a related field
• MBA or advanced analytical degree preferred

Core Competencies

Demonstrates expertise in global pricing strategy, analytics, and team leadership within the luxury retail sector. Proficient in developing pricing frameworks and collaborating with cross functional teams to drive commercial growth and margin attainment.

Highest-signal resume keywords

• Global Pricing Strategy
• Pricing Analytics
• Cross-Functional Collaboration
• Team Leadership
• Advanced Excel Proficiency

ATS Optimization Keywords Hard Skills

• Pricing Models
• Margin Analysis
• Elasticity
• Scenario Modeling
• Pricing Framework Development
• Governance Models
• Decision Rights
• SKU Productivity
• Business Intelligence
• Data Analytics

Soft Skills

• Strong Communication Skills
• Analytical Rigor
• Commercial Judgment
• Continuous Improvement

Certifications & Qualifications

• Bachelor's Degree in Business
• MBA or Advanced Analytical Degree

Industry Keywords

• Luxury Retail
• Apparel
• Consumer Goods
• Global Branded Products
• Revenue Management

Tools & Technologies

• SQL
• Python
• R