Product Data Specialist

Jobtailor; Vancouver; On-site; CAD 60,000 - 90,000; Full time

Job summary

Jobtailor in Vancouver seeks a Product Data Specialist to manage product data and optimise category structures, ensuring accurate attributes, lists of values, facets, and classifications. You will audit data quality and perform enrichment to support reliable product information.

You will collaborate across teams to implement changes, identify risks, and ensure compliance while leveraging AI tools responsibly for efficiency.

Qualifications

• Hands-on experience using approved AI tools responsibly, including writing prompts, grounding outputs in trusted sources, and reviewing results for accuracy, completeness, relevance, and compliance
• Ability to recognize AI limitations and know when human validation or escalation is required
• 1–2 years of experience working with product information, product content, e-commerce data, product data management, merchandising, business, or a related field
• Experience supporting product data audits, enrichment, taxonomy or hierarchy updates, attribute and facet management, or category improvement initiatives
• Working knowledge of Product Information Management systems such as STEP or MIRAKL
• Working knowledge of Microsoft Excel, product attributes, lists of values, facets, classification, and data quality principles
• Strong attention to detail, communication, organization, and problem-solving skills
• Ability to manage defined initiatives and collaborate across technical, operational, merchandising, and business teams
• French language proficiency is considered an asset

Responsibilities

• Manage product data and category optimisation activities using established frameworks, governance standards, and trusted sources
• Create and maintain web hierarchies, primary product hierarchy structures, product attributes, lists of values, facets, display structures, and classification rules
• Conduct product and category data audits to identify gaps in quality, completeness, consistency, duplication, classification, and customer-facing information
• Complete data cleanup, enrichment, backfill, and structural improvements to support accurate and useful product information
• Partner with cross-functional stakeholders to gather requirements, validate changes, resolve product information issues, and communicate risks or downstream impacts
• Support implementation of approved product data changes and escalates complex issues or decisions requiring additional expertise or business approval
• Use approved AI and automation tools responsibly to improve efficiency while reviewing outputs for accuracy, completeness, relevance, and compliance

Skills

Attention to detail

Communication

Organization

Problem-Solving

Collaboration

AI tools awareness

French language (asset)

Tools

STEP

MIRAKL

AI Tools

Automation Tools

Microsoft Excel

Job description

• Manage product data and category optimisation activities using established frameworks, governance standards, and trusted sources
• Create and maintain web hierarchies, primary product hierarchy structures, product attributes, lists of values, facets, display structures, and classification rules
• Conduct product and category data audits to identify gaps in quality, completeness, consistency, duplication, classification, and customer-facing information
• Complete data cleanup, enrichment, backfill, and structural improvements to support accurate and useful product information
• Partner with cross-functional stakeholders to gather requirements, validate changes, resolve product information issues, and communicate risks or downstream impacts
• Support implementation of approved product data changes and escalates complex issues or decisions requiring additional expertise or business approval
• Use approved AI and automation tools responsibly to improve efficiency while reviewing outputs for accuracy, completeness, relevance, and compliance

Requirements

• Hands-on experience using approved AI tools responsibly, including writing clear prompts, grounding outputs in trusted source information, and reviewing results for accuracy, completeness, relevance, and compliance
• Ability to recognize AI limitations and know when human validation or escalation is required
• 1–2 years of experience working with product information, product content, e-commerce data, product data management, merchandising, business, or a related field
• Experience supporting product data audits, enrichment, taxonomy or hierarchy updates, attribute and facet management, or category improvement initiatives
• Working knowledge of Product Information Management systems such as STEP or MIRAKL
• Working knowledge of Microsoft Excel, product attributes, lists of values, facets, classification, and data quality principles
• Strong attention to detail, communication, organization, and problem-solving skills
• Ability to manage defined initiatives and collaborate across technical, operational, merchandising, and business teams
• French language proficiency is considered an asset

Demonstrates expertise in Product Data Management, including data audits, enrichment, and taxonomy updates, while effectively collaborating with cross-functional teams. Proficient in using AI tools responsibly to enhance data quality and compliance.

Highest-signal resume keywords

• Product Data Management
• Data Audits
• Product Information Management Systems
• Microsoft Excel
• AI Tools Proficiency

ATS Optimization Keywords

Hard Skills

• Product Data Management
• Data Audits
• Taxonomy Updates
• Attribute Management
• Facet Management
• Data Quality Principles
• E-Commerce Data
• Product Content
• Merchandising
• Data Cleanup

Soft Skills

• Attention to Detail
• Communication
• Organization
• Problem-Solving
• Collaboration

Industry Keywords

• Product Information
• Category Optimization
• Governance Standards
• Cross-Functional Collaboration
• Customer-Facing Information

Tools & Technologies

• STEP
• MIRAKL
• AI Tools
• Automation Tools