Assistant Manager / Senior Assistant Manager - Digital Technology and Analytics

Nanyang Technological University, Singapore (NTU Singapore) is a leading research-intensive university known for its strong focus on innovation, interdisciplinary learning, and creating meaningful impact through education and research.

The Student and Academic Services Department (SASD) plays an important role in supporting students across their academic journey, from admission and matriculation to graduation and beyond the classroom. Working closely with schools, colleges, and other partners across the University, SASD helps to create a seamless, enriching, and student-centred experience at NTU.

Within this broader mission, NTU Library, under the Office of Information, Knowledge and Library Services (OIKLS), provide essential learning, research, and collaborative environments that support the University community. We are seeking an experienced and forward-looking Assistant Manager / Senior Assistant Manager to strengthen the Library’s data, analytics, and AI capabilities to improve operational efficiency and user experience.

Job Responsibilities

• Develop, enhance, and maintain library data models, dashboards, data visualisations, and data integration pipelines.
• Work with library stakeholders to understand business requirements, assess data needs, and deliver practical analytics solutions.
• Support the review, improvement, and maintenance of analytics platforms and related data environments, including Qlik Sense, Denodo, Alma Analytics, and other relevant systems.
• Evaluate new analytics tools, platform features, and data visualisation approaches for possible adoption.
• Apply emerging technologies, including AI workflows, AI agents, and related tools, to improve library analytics, operational efficiency, and user experience.
• Support staff adoption of dashboards, data tools, and technology-enabled solutions through communication, guidance, and training.

Job Requirements

• Degree in a related discipline, such as Computer Science, Computer Engineering, Data Science, or a related field.
• At least 5 years of relevant working experience in data engineering, data analytics, business intelligence, or related areas.
• Entry level candidates with relevant internship experience may be considered.
• Proficient in data engineering, ETL/data pipeline development, REST API data sources, SQL, and dashboard/BI development tools such as Qlik Sense, Power BI, Tableau, or similar.
• Programming or scripting skills, such as Python, for data processing and automation.
• Knowledge of AI/LLM concepts, agentic frameworks, RAG pipelines, vector databases, and cloud AI services such as Azure OpenAI or similar would be an advantage.
• Strong analytical, problem-solving, communication, and interpersonal skills, with the ability to explain technical concepts to non-technical users.
• Service-oriented, agile, and able to manage priorities and work within deadlines.

At NTU, you will join a collaborative and forward-looking university environment committed to continuous learning, innovation, and service excellence. This role offers the opportunity to work across diverse library settings, partner stakeholders across the University, and contribute to improvements that have meaningful and visible impact on the campus community.

We regret to inform that only shortlisted candidates will be notified.

Hiring Institution: NTU