Library Metadata Programmer/Analyst, New York University, New York NY

Position Summary: Develop, implement, document, evaluate, and routinize automated electronic-resource processing workflows; analyze, design, and implement scripts and methods for electronic-resource metadata processing, transformation, and ingest; collaborate with colleagues to optimize integrated workflows. In consultation with KARMS department heads and supervisors, lead the development and implementation of a coordinated metadata strategy for NYU Libraries' electronic resources that includes managing catalog record supply chains, multiple processing streams, and knowledge base management activities. Monitor, evaluate and maintain technical services specifications with service providers. Coordinate the distribution of e-resource workflows for metadata management and routine troubleshooting to Resource Management staff. Assist with the preparation of management reports and the provision of statistical and budget analyses related to electronic resources. Participate in electronic resource use studies conducted by NYU Libraries.  

Qualifications/Required Education: Bachelor's degree in computer science, information science, library science, or related field.

Required Experience: Minimum of three years related experience or combination of education and experience; demonstrated experience in developing and implementing complex workflows; experience performing data analysis on a variety of data formats; experience writing scripts in common scripting languages such as Perl, PHP, bash, Python, or Ruby; experience with XML and XSLT; experience working in Linux/Unix server environments. 

Preferred Experience: Experience working with electronic resource metadata enabling discovery and access in an academic or research library; experience with one or more of the suite of Ex Libris products (Primo, Aleph, Metalib, SFX); in-depth experience with library discovery and access systems, particularly those related to e-resource access such as OpenURL resolution systems.

Visit www.nyucareers.com/applicants/Central?quickFind=57365  for more information.

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