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Job Description
Quick candidate screen:
Workplace Type: Hybrid
Minimum Experience: 10 years
Required Certification: I am Mohammed Irfan
Location Requirement: Irvine, California
▪ Job Description: 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 ccountable for enabling operational efficiency, supply chain accuracy, financial integrity, and regulatory compliance through high-quality master data.
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)
