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NTU Main Campus, Singapore, Singapore
Onsite
The Student and Academic Services Department (SASD) is a dedicated team committed to delivering comprehensive support across the entire student life cycle – from admission and matriculation to graduation and beyond the classroom. SASD works collaboratively with schools, colleges, and autonomous institutes to ensure a seamless and enriching academic journey for all students.
This position sits with the Office of Information, Knowledge and Library Services (OIKLS). It is responsible for the provision of seamless access to information resources and library services critical for the NTU community’s teaching and research needs.
We are looking for an individual with a working knowledge of evidence-based collection assessment strategies for the optimization of information resources and budget sustainability. The candidate will use a user-centric and data-informed approach to build a collection that is responsive, relevant, and aligned with the University’s commitment to academic and research excellence.
Responsibilities
Conduct data-driven collection assessments using professional tools to identify overlaps, gaps, and optimisation opportunities, and propose actionable insights.
Develop and maintain dashboards and automated workflows to ensure accurate, timely updates and facilitate coordination across library teams.
Manage and enhance library-curated and special collections, ensuring accessibility, relevance, and user engagement through collaborative development and promotional activities.
Evaluate and negotiate resource subscriptions using evidence-based metrics, preparing justifications and documentation to support budget planning and renewal decisions.
Monitor library trends and collection metrics, perform regular checks for anomalies, and continuously improve collection development processes for quality and sustainability.
Requirements
Degree in any discipline.
Candidates with past experience with library collection acquisitions, e-resource subscriptions, data analytics tools, scholarly publishing markets or open access will be advantageous.
Strong working knowledge and experience with Microsoft software applications, especially Excel.
Knowledge of data analytics and data visualization tools (e.g., Qlik Sense, Power BI).
Knowledge of library information resources and acquisition models for different resource types and platforms.
Minimum 3 years of relevant work experience in libraries or related industries.
Excellent written and verbal communication skills. Good interpersonal and stakeholder engagement skills with a service-oriented mindset.
Good analytical and problem-solving skills, with a strong numerical aptitude and interest in optimizing business workflows.
Organised and details oriented. Able to work independently and collaboratively in a team.
Adaptable and committed to continuous learning in dynamic and complex environments.
We regret to inform that only shortlisted candidates will be notified.