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Mid-level (3–6 years) requirement and local metro location increase competition, offset by niche MDM specialization.
MDM and data governance skills are broadly transferable across industries, reducing background sensitivity.
Explicit minimum 3 years and required MDM platform experience create moderate hiring filters.
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Design and implement the enterprise Master Data Management (MDM) strategy, operating model, and governance framework to ensure trusted, consistent data across global organization.
Establish and maintain centralized master data solutions and data quality processes for key business domains to support AI-driven decision-making and digital transformation.
Collaborate with business stakeholders, data owners, and technical teams to define enterprise data standards, improve governance maturity, and promote best practices in data stewardship.
Bachelor's or Master's degree in Computer Science, Information Systems, Data Management, Engineering, or related field.
Minimum 3 years of experience in Master Data Management, Data Governance, Data Engineering, or Enterprise Data Management.
Experience with MDM and data governance platforms such as Microsoft Purview, Profisee, Informatica MDM, SAP MDG, or equivalent.
Strong knowledge of master data domains (Customer, Supplier, Product, Material, Finance, Organizational), relational databases, SQL, and data integration technologies.
Experienced in designing and implementing complex enterprise MDM solutions and governance frameworks with proven operational impact.
Able to work cross-functionally with both business stakeholders and IT teams to drive data governance maturity and digital transformation initiatives.
Familiarity with cloud-based data platforms, especially Microsoft Azure ecosystem, and understanding of metadata management, data lineage, and data quality management.