Senior Manager, Master Data Management

The selected candidate for this position will report on-site 2-3 days a week.

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 Groupa governance body composed of cross-functional domain data owners and stewardsresponsible 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 Protégé 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:

• Bachelors 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:

• Masters 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 Protégé 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.

The University of Maryland Global Campus (UMGC) is an equal opportunity employer and complies with all applicable federal and state laws regarding nondiscrimination. UMGC is committed to a policy of equal opportunity for all persons and does not discriminate on the basis of race color national origin age marital status sex sexual orientation gender identity gender expression disability religion ancestry political affiliation or veteran status in employment educational programs and activities and admissions.

Workplace Accommodations:

The University of Maryland Global Campus Global Campus (UMGC) is committed to creating and maintaining a welcoming and inclusive working environment for people of all abilities. UMGC is dedicated to the principle that no qualified individual with a disability shall based on disability be excluded from participation in or be denied the benefits of the services programs or activities of the University or be subjected to discrimination. For information about UMGCs Reasonable Workplace Accommodation Policy or to request an accommodation applicants/candidates can contact Employee Accommodations via email at.

Benefits Package Highlights:

• Generous Time Off:Enjoy 22 days of paid vacation 15 days of sick leave 3 personal days and 15 paid holidays (16 during general election years). For part-time employees time off rates will be prorated based on the number of hours worked.
• Comprehensive Health Coverage:Access to health care medical with vision dental and prescription plans for both individuals and families effective from the 1st of the month following your hire date.
• Insurance Options:Term Life Insurance Accidental Death and Dismemberment Insurance and Long-Term Disability (LTD) Insurance. Part-time employees working less than 0.5 FTE are not eligible for LTD.
• Flexible Spending Accounts:Available for medical and dependent care expenses.
• Retirement Plans:Choose between the Optional Retirement Program (ORP) or the Maryland State Retirement and Pension System (MSRPS).
• Supplemental Retirement Plans: include 401(k) 403(b) 457(b) and various Roth options. The university does not provide matching funds.
• Tuition Remission:Immediate availability for Regular Exempt Staff. Spouses and dependent children are eligible for undergraduate tuition remission after two years of service. NOTE: For part-time employees (at least 50 percent of the time) tuition remission benefits are prorated.

Hiring Range: