Master Data Manager

Job Title: Master Data Manager (hands-on)

Status: Exempt, Full-time

Location: Anaheim, CA

Work Schedule: Hybrid

Position Summary: Lead the enterprise Master Data Management (MDM) function to ensure trusted, governed, and business-aligned data across ERP, MES, PLM, CRM, and supporting systems. This role is accountable for enabling operational efficiency, supply chain accuracy, financial integrity, and regulatory compliance through high-quality master data.

Responsibilities:

• Define and operationalize enterprise data governance framework
• Establish and lead data stewardship council across business functions
• Assign and enforce data ownership and accountability by domain
• Develop and maintain data dictionaries, standards, and business rules
• Ensure alignment between IT governance and business process ownership
• Own and continuously improve data quality KPIs (accuracy, completeness, consistency, timeliness)
• Implement data profiling, monitoring, and remediation processes
• Lead root cause analysis for recurring data issues
• Own selection, implementation, and optimization of MDM platforms/tools
• Define system-of-record architecture across ERP, MES, CRM
• Ensure synchronization and integrity of master data across systems
• Support ERP/MES upgrades and transformations with strong data governance
• Partner with business leaders to embed data accountability into operations
• Lead remediation of audit findings related to master data
• Reduce operational and financial risk caused by data errors
• Define and publish enterprise data quality dashboards
• Partner with BI/analytics teams to improve reporting accuracy

Experience

• 7–10+ years in Master Data Management, Data Governance, or Data Stewardship
• Strong experience in manufacturing environments
• Deep expertise in ERP systems (e.g., SAP, Oracle, Infor, Epicor)
• Experience integrating ERP with MES, PLM, and CRM systems

Technical Skills

• SQL and data analysis tools
• Experience with MDM platforms (e.g., Informatica, IBM, SAP MDG, Profisee, etc.)
• Data quality tools and profiling techniques
• Understanding of data architecture and system integration

Nice-to-Have

• Experience supporting ERP transformations or carve-outs
• Certification in Data Management (e.g., DAMA CDMP)