Item Data Quality & Governance Lead

Walmart Canada; Mississauga; On-site; CAD 65,000 - 89,000; Full time

Job summary

Walmart Canada in Mississauga is seeking a SR Specialist Item File to drive governance, accuracy, and quality of master data across retail systems. You will lead data governance, training, and the development of validation tools to enhance item data integrity and operational efficiency.

You will collaborate with Merchandising, Replenishment, Supply Chain, eCommerce, and Technology to identify data quality issues and implement sustainable improvements across the product lifecycle.

Qualifications

• Strong data governance, data quality and lifecycle management
• Ability to translate technical data concepts into business language
• Experience building training materials and job aids
• Experience leading governance and data validation initiatives
• Collaborative across Merchandising, eCommerce, Supply Chain, and Tech

Responsibilities

• Lead data governance, training, and documentation activities
• Develop and maintain validation tools to improve data quality
• Partner with cross‑functional teams to address data quality issues
• Create reports and dashboards to monitor item data quality and performance
• Support system enhancements, testing, and adoption of new item management capabilities
• Provide guidance on data setup, maintenance standards and controls

Skills

Data governance

SQL development

Data quality

Process improvement

Cross-functional collaboration

Training

Documentation

Project leadership

Data lifecycle management

Communication

Education

Bachelor's degree in Data Analytics, Statistics, Mathematics, or Computer Science

Tools

SQL

Validation tools

Job description

Walmart Canada in Mississauga is seeking a SR Specialist Item File to drive governance, accuracy, and quality of master data across retail systems. You will lead data governance, training, and the development of validation tools to enhance item data integrity and operational efficiency.

You will collaborate with Merchandising, Replenishment, Supply Chain, eCommerce, and Technology to identify data quality issues and implement sustainable improvements across the product lifecycle.