Digital Archives & Metadata Specialist

The Trustees of Union College in the Town of Schenectady in the State of New York; City of Schenectady (NY); Hybrid; USD 29,000 - 31,000; Full time

Benefits offered by this job

Vacation and personal time

On-campus fitness facility access

403(b) retirement plan

Job summary

Union College in Schenectady, NY, seeks a Resource Management Specialist for Metadata & Digitization to oversee digitization labs, metadata services, and quality control. The role includes supervising students, refining workflows, and collaborating on digital projects within the library.

Responsibilities cover project workflows, open access initiatives, vendor coordination, and archiving tasks, with a focus on accurate metadata and descriptive language.

Qualifications

• Bachelor’s degree and/or a combination of relevant education, training, certifications, and/or work experience.
• Familiarity or interest in metadata principles, data manipulation tools, and file management best practices is preferred.
• Experience with Microsoft Office (particularly Excel) or Google Workspace.

Responsibilities

• Supervises digital lab students and trains them for digitization lab tasks.
• Participates in optimization of digital project workflows and description of digital materials.
• Helps in data cleanup, workflow improvements, and testing of new procedures.
• Assists with processing and describing archival collections under supervision.

Skills

Metadata principles

Data manipulation

Data analysis

Supervision

Communication

Detail-oriented

Education

Bachelor’s degree

Tools

Microsoft Excel

Google Workspace

Job description

Union College in Schenectady, NY, seeks a Resource Management Specialist for Metadata & Digitization to oversee digitization labs, metadata services, and quality control. The role includes supervising students, refining workflows, and collaborating on digital projects within the library.

Responsibilities cover project workflows, open access initiatives, vendor coordination, and archiving tasks, with a focus on accurate metadata and descriptive language.