Director, Product Data Management

Position: Director, Product Data Management

Location: REMOTE

Remote Status: Remote

Job : 3443-mSupply

# of Openings: 1

The Director of Product Data Management is a strategic leadership role responsible for building, governing, and scaling enterprise-wide product data capabilities. Reporting to the VP of Merchandising, this role drives the consolidation of multiple PIM systems into a unified MDM/PIM solution, ensuring a single, reliable source of product truth across the organization. The Director will lead data governance, quality, and standardization efforts while enabling cross-functional teams to make confident, data‑driven decisions.

This position combines strategic vision with hands‑on execution and oversees a team dedicated to product data operations, working closely with Product, Engineering, Analytics, Operations, and external partners.

• Lead the strategy, roadmap, and execution for consolidating multiple PIM systems into a unified MDM or PIM solution
• Evaluate current systems and define future-state architecture requirements in partnership with Engineering and Technology teams
• Ensure the product data platform is scalable, accessible, and supports enterprise-wide needs
• Own PIM integration strategy to support product data quality across all channels and marketplaces
• Define and enforce data governance frameworks, including ownership, accountability, and decision rights across product data domains
• Develop and maintain scalable data governance policies, standards, and procedures
• Drive improvements in product data accuracy, consistency, and reliability across all systems
• Partner with business stakeholders to ensure product data meets quality standards for decision‑making
• Oversee product data enrichment to ensure completeness and adherence to business standards
• Implement standardized taxonomies, metadata definitions, and lifecycle management practices
• Act as the authoritative source for product data standards and resolve cross‑functional discrepancies
• Own the strategy and management of product relationship data to enable cross‑sell and cross‑merchandising opportunities
• Collaborate with Category Management and Merchandising teams to ensure actionable and structured product data
• Design scalable governance frameworks to support product launches, market expansion, and system integrations
• Anticipate future data needs and proactively build supporting infrastructure
• Establish cross‑functional collaboration models across Product, Engineering, Analytics, and Operations
• Translate data governance initiatives into measurable business outcomes for senior leadership
• Oversee end‑to‑end product data ingestion from manufacturers and OEM partners, including onboarding and lifecycle tracking
• Manage data SLAs and ensure timely, accurate, and complete product data delivery
• Continuously evaluate and improve data enrichment quality and completeness
• Define, track, and report KPIs to measure data governance effectiveness and maturity
• Foster a culture of continuous improvement within the product data team
• Lead, mentor, and develop a team responsible for product data operations and governance
• Set team priorities, performance expectations, and promote a collaborative, accountable culture

• 10+ years of experience in product data management, data governance, MDM, or a related field
• At least 2 years of leadership or team management experience
• Proven experience leading or contributing to PIM/MDM consolidation or implementation initiatives
• Experience managing product data ingestion workflows, including working with external partners such as manufacturers or OEMs
• Strong understanding of data quality principles, taxonomies, metadata, and product lifecycle management
• Demonstrated ability to drive cross‑functional alignment across technical and non‑technical teams
• Experience defining and tracking KPIs to measure data governance success
• Strategic thinker with the ability to execute and solve operational challenges
• Strong communication skills with the ability to translate complex data concepts into business terms
• Highly organized with strong project and stakeholder management capabilities
• Comfortable working in…