Master Data Management Lead - Internal
As a valued London Drugs family member, the opportunities for career growth are unlimited! Here is a great chance for you to grow your skills and experience.
Our Richmond Head Office currently has opportunities for:
Master Data Management LeadThe Master Data Management Lead is responsible for the day‑to‑day execution and continuous improvement of the master data management function, ensuring data accuracy, consistency, and integrity across all products, vendor, and location data. This role directly manages an MDM Analyst/Specialist and serves as the primary operational owner of item setup, data governance, and system integration processes. This is a hands‑on leadership role suited for a detail‑oriented data professional who can balance individual execution with team development, maintain high standards of data quality, and partner effectively with merchants, IT, and cross‑functional teams.
The ideal candidate brings deep MDM expertise, a process improvement mindset, and the ability to translate business needs into sound data practices.
As with all positions, this person embodies the core essence of the London Drugs Brand Framework by always going above and beyond the expected.
Key Responsibilities Team Leadership & Development- Directly manage MDM Analyst/Specialist(s), providing day‑to‑day direction, coaching, and performance feedback
- Assign and prioritize work across the MDM team based on business timelines and complexity
- Develop the team’s technical skills in data entry, quality control, and system usage
- Foster a culture of accuracy, accountability, and continuous improvement within the MDM team
- Escalate complex issues and resource conflicts to the Manager, Merchandising Data & Analytics as appropriate
- Oversee and perform creation and maintenance of all product master data including SKU attributes, descriptions, hierarchies, UPCs, and pricing
- Manage new item setup processes to ensure timely and accurate data entry aligned with merchant timelines and system requirements
- Establish and maintain product hierarchy structures including department, class, subclass, and SKU relationships
- Partner with merchants on attribute standardization, product descriptions, and taxonomy management
- Manage item lifecycle from creation through discontinuation including status changes, replacements, and historical data retention
- Coordinate with Supply Chain on case pack, ordering units, and logistical attributes
- Execute and continuously refine data governance policies, standards, and procedures across all master data domains
- Monitor data quality metrics to ensure accuracy, completeness, and consistency across systems
- Implement and maintain data validation rules and controls to prevent errors at point of entry and throughout the data lifecycle
- Conduct regular data audits to identify and remediate data quality issues and inconsistencies
- Track and report data quality KPIs including error rates, completeness, timeliness, and compliance to the Manager
- Define data stewardship responsibilities and hold team accountable to established standards
- Manage vendor master data including supplier information, payment terms, contact details, and performance tracking
- Oversee vendor onboarding processes ensuring accurate setup in all relevant systems
- Maintain location master data including store information, distribution centers, and cross‑docking facilities
- Coordinate vendor data changes with Procurement, Accounts Payable, and Planning teams
- Partner with Finance and Supply Chain on vendor and location data requirements and maintenance
- Serve as operational owner of the MDM/PIM platform, ensuring data is centralized, synchronized, and maintained to defined standards
- Ensure data integration and synchronization across ERP, POS, merchandising, e‑commerce, and warehouse management systems
- Partner with IT on system configuration, data mapping, integration workflows, and troubleshooting
- Manage data migration activities for system implementations, upgrades, and consolidations
- Maintain data models, attribute definitions, and…
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