The Princeton University Art Museum seeks a Collections Systems Specialist who will be responsible for the analysis and manipulation of complex cultural heritage data sets stored in two Museum systems of record: the collections information system, The Museum System (TMS), and the digital asset management system, ResourceSpace. Reporting to the Museum Application Developer, the successful applicant will be a member of the Art Information and Systems division of the Communication and Information department, a team of museum information professionals engaged in collections and exhibitions data creation, modeling, infrastructure design, and access. The team is responsible for supporting museum staff and other stakeholders in the use of centralized information, and for delivering collections and exhibitions information to multiple endpoints in support of the Museum’s mission. This is a new 30-month term, full-time, benefits eligible position that will begin immediately and has the possibility of extension. Remote work is a possibility.
With a collecting history that extends back to 1755, the Princeton University Art Museum is one of the leading university art museums in the country, with collections that have grown to include more than 100,000 works ranging from ancient to contemporary art and spanning the globe. A private institution serving the public good, the Museum is committed to serving the University, local and regional communities, and beyond through a dynamic program of temporary exhibitions, new scholarship, and innovative programming. The Museum advances critical thinking and visual literacy at Princeton University and also serves as a gateway to the University for more than 200,000 visitors from around the world each year. The Museum is located at the heart of Princeton’s historic campus and is free and open to the public.
To learn more about the Art Museum, visit https://artmuseum.princeton.edu/.
Primary responsibilities will include data extraction, data batching, report writing, and advanced SQL query development, as well as supporting the integration of collection data between TMS, the Museum’s API, and ResourceSpace. Other tasks include the documentation of data extraction and QA routines, and the implementation of periodic TMS system upgrades. Also:
- Design and maintain scalable processes to support the extraction, transformation, and delivery of collection data to the Museum’s downstream products and public-facing digital platforms.
- Model and implement processes for the regular delivery of access copies of digital images from ResourceSpace to cloud storage
- Craft scripts for the import of large data sets into TMS in support of exhibition and special cataloging projects
- Serve as the primary contact for and designer of custom data reports for Museum-wide users as well as faculty and students
- Prepare and implement TMS system upgrades
- Collaborate with the members of the Art Information and Systems division on strategic planning and product development
- Other duties as required
- 2 years’ experience working with museum collections information systems and museum data
- Demonstrable expertise in SQL Server query language
- Expertise in museum and library data standards
- Excellent communication skills, both written and verbal
- A high degree of organization and self-motivation, including ability to take initiative, anticipate actions needed, and exercise independent judgment
- Ability to work autonomously yet also as an integral part of a close-knit team
- Familiarity with source code control and collaborative development systems (e.g. Git)
- Bachelor’s degree in museum studies, Information science, computer science or related field with proven interest in cultural heritage data management
- Understanding of commonly used data serialization formats, structures, and ontologies: JSON, CSV, RDF
- Familiarity with NoSQL document stores and search applications such as Elasticsearch, SOLR, and MongoDB
- Familiarity with Crystal Reports and/or SQL Server Reporting Services
- Knowledge of or interest in current movements in cultural heritage data and image management (Linked Data, IIIF, Open Access)
Princeton University is an Equal Opportunity/Affirmative Action Employer and all qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability status, protected veteran status, or any other characteristic protected by law. EEO IS THE LAW