Job Description Job Description
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)
