Discovery Librarian

The Discovery Librarian collaborates with colleagues in a highly matrixed environment to improve the discovery of and access to Drexel University Libraries' digital and print resources including research output, through a wide array of activities in metadata analysis, creation, consultation, enhancement, and maintenance. The Librarian contributes to implementation, policies, and procedures in relation to the discovery and visibility of the professional and personal research assets of Drexel University faculty and researchers through the Libraries' information management platforms including Esploro, Primo VE, Alma/Alma Digital, and ArchivesSpace, as well as through Google Scholar and other non-library discovery systems. The librarian will also play a key role in developing and implementing discovery strategies. Required ALA-accredited MLIS degree or an equivalent combination of education and experience 2 years of related experience in an academic environment Experience with descriptive metadata creation and management including MARC/RDA and one or more non-MARC metadata formats. Possess strong analytical and critical thinking skills Demonstrated experience managing and configuring library information and discovery systems Demonstrated knowledge of current and emerging trends, workflows, and best practices in search, discovery, and metadata Excellent interpersonal skills with ability to form strong relationships with colleagues across the libraries and university Demonstrated self-directed learner with ability to work both independently and collaboratively Evidence of involvement and contribution to the profession through service, presentations or publications Demonstrated commitment to fostering a diverse, equitable, inclusive and welcoming work environment with an understanding of value and centrality to metadata work Preferred Undergraduate degree or professional experience in any of the University's discipline areas of strategic focus: Health Sciences, Technology/Engineering, Design, and Social Sciences Experience with tools such as Alma Digital, Primo VE, ArchivesSpace, Esploro or Omeka Knowledge of XML, RDF and Linked Data standards and principles Experience with programming or scripting languages such as: Pyt