Global Product Data
Enterprise product data models and standards that hold up across brands, regions, languages, and selling channels.
About
Built inside retail and digital commerce.
Effective product data strategy requires understanding both how retail organizations build assortments and how customers actually shop for them.
17+Years in retail (since 2007)
11+Years in e-commerce (since 2015)
My background spans more than 17 years in retail beginning in 2007 and more than 11 years in e-commerce beginning in 2015, working across retail operations, merchandising, digital commerce, and enterprise product data.
That foundation includes professional experience at lululemon and Aritzia, where I worked on the systems, taxonomies, and product information foundations that power high-growth vertical retail across channels and markets.
Specialized expertise.
Focused on the structure and governance of product information.
Product Taxonomy & Attributes
Merchandising and customer-facing hierarchies, classifications, and attribute architectures designed for scale.
Product Discovery
Connecting external search demand and internal site search behaviour to navigation, filtering, and product content.
PIM & Enterprise Data Strategy
Defining business requirements, data governance, and stewardship models across PIM, commerce, and upstream systems.
Across the end-to-end retail lifecycle.
Product data is the connective tissue from initial assortment planning through customer discovery.
Assortment Planning & Product Creation
How products are conceived, ranged, and structured upstream before they ever reach a digital catalogue.
Merchandising & Product Information
How categories, variants, relationships, and attributes are enriched, governed, and maintained across teams.
Selling Channels & Digital Commerce
How product data flows into e-commerce platforms, stores, and regional markets with consistency and accuracy.
Customer Search & Discovery
How shoppers search, browse, filter, evaluate, and build confidence on the product page.
