Data Governance Architect — Metadata & Catalog Expert

Ohio State University; Columbus (OH); Hybrid; USD 70,000 - 95,000; Full time

Job summary

Ohio State University seeks a Data Governance Specialist to support its enterprise data governance program within the Analytics Center of Excellence. The specialist serves as the primary administrator of the enterprise data catalog and collaborates with data owners, stewards, and technical teams to ensure trusted, well-documented data.

You will manage metadata, glossaries, definitions, lineage, and classifications, promote consistent data use across clinical, financial, research and operations,

Qualifications

• Bachelor's degree in computer science, information management, data analytics, health information management, business or related field, or equivalent relevant experience.
• 2 years of experience in data governance, data management, analytics, metadata management, business intelligence, or another data-intensive role.
• Healthcare experience preferred.

Responsibilities

• Serve as primary administrator of the enterprise data catalog.
• Support development and operation of the enterprise data governance program.
• Manage metadata, glossaries, definitions, ownership, classifications, and lineage.
• Coordinate governance workflows and data stewardship.
• Provide training to data stewards and catalog users.
• Monitor governance effectiveness through metadata completeness and data quality.

Skills

Data governance

Metadata management

Analytics

Business intelligence

Data management

Education

Bachelor's degree in related field

Job description

Ohio State University seeks a Data Governance Specialist to support its enterprise data governance program within the Analytics Center of Excellence. The specialist serves as the primary administrator of the enterprise data catalog and collaborates with data owners, stewards, and technical teams to ensure trusted, well-documented data.

You will manage metadata, glossaries, definitions, lineage, and classifications, promote consistent data use across clinical, financial, research and operations,