"Senior Manager, Master Data Management"

Senior Manager, Master Data Management

We are seeking a strategic and technically skilled Senior Manager, Master Data Management (MDM) to lead the design, implementation, and operation of enterprise master data and semantic data environments. Reporting to the Director, Data & AI Governance, this role ensures that institutional data is trusted, governed, and ready to support core operations, regulatory compliance, and innovation in AI and analytics.

The ideal candidate will bring strong expertise in MDM, metadata management, and semantic technologies, along with deep experience collaborating across business and technical domains. This role requires close partnership with cross-functional domain data owners and data stewards, who will also participate in the MDM Working Group and Community of Practice.

A key objective of the role is the development and implementation of FAIR data principles, ensuring institutional data is Findable, Accessible, Interoperable, and Reusable to support enterprise reporting, AI/ML, and data integration efforts.

Duties and Responsibilities:

• Lead the design, configuration, implementation, and operations of the MDM environment (Profisee + Unity Catalog) to support high-quality, consistent master data across the institution.
• Manage the end-to-end MDM lifecycle, including data modeling, data quality and stewardship workflows, and systems synchronization utilizing various MDM styles (i.e., registry, consolidation, coexistence, and centralized) as appropriate.
• Collaborate closely with cross-functional domain data owners and data stewards, fostering shared ownership of data definitions, standards, and decision-making.
• Facilitate and lead the MDM Working Group-a governance body composed of cross-functional domain data owners and stewards-responsible for policy alignment, issue resolution, and continuous improvement.
• Develop and sustain a Community of Practice focused on master and reference data standards, data literacy, and shared best practices.
• Design and implement ontologies and taxonomies for metadata enrichment, search optimization, and semantic data integration.
• Support building of semantic layers and knowledge graphs in support of AI, analytics, and machine reasoning, using standards like OWL, RDF, and RDFS, and tools such as Protege, TopBraid, PoolParty, Synaptica, GraphDB, and Graphologi.
• Ensure seamless integration with Microsoft Purview to enable data and AI governance processes.
• Use Azure DevOps to manage delivery pipelines, configuration management, and agile project tracking for MDM-related development.
• Promote FAIR data principles by making data Findable, Accessible, Interoperable, and Reusable through proper governance, stewardship, and semantic design.
• Monitor and improve master data quality metrics; develop AI/BI data quality dashboards and reports for program performance and stakeholder transparency.
• Ensure compliance with FERPA, GDPR, and other institutional data security and privacy requirements.
• Develop and maintain documentation, metadata repositories, and stewardship playbooks to support governance, onboarding, and knowledge transfer.

Education & Experience Requirements

Education:

• Bachelor's Degree in Information science and technology, Library and Information Science, Computer Science, Engineering or a related field.

Experience:

• Minimum of 7 years of experience in data management or engineering, with at least 3 years leading MDM or semantic data initiatives.
• Demonstrated experience implementing governance and integration strategies in complex, cloud-based environments.
• Proven experience with enterprise MDM implementation and operations, especially using Profisee or similar platforms.
• Expertise in working with cross-functional data owners and stewards, and leading collaborative governance structures such as MDM Working Groups and Communities of Practice.
• Hands-on experience with Microsoft Purview, Azure DevOps, Databricks, and Azure Data Factory.
• Deep understanding of FAIR data principles and metadata management practices.
• Familiarity with data quality frameworks, stewardship workflows, and data lifecycle management.
• Strong communication and facilitation skills across technical and business domains.

Preferred Requirements

Education:

• Master's Degree in Information science and technology, Library and Information Science, Computer Science, Engineering or a related field.

Experience:

• Experience in online higher education or regulated, student-centered environments.
• Knowledge of academic platforms such as PeopleSoft, Workday, Salesforce Education Cloud, D2L.
• Experience in Microsoft and Databricks environments.
• Experience implementing and operating Purview.
• Experience operating in SAFe Agile environments.
• Certified Data Management Professional (CDMP) or similar data governance or semantic web certifications.
• Strong knowledge of semantic web technologies (OWL, RDF, RDFS) and practical experience with tools like Protege, TopBraid, PoolParty, Synaptica, and/or GraphDB.
• Demonstrated success building semantic layers and ontologies to support AI and data integration use cases.

All submissions should include a cover letter and resume.

Hiring Range: $140,000.00 - $165,000.00