COMPANY DESCRIPTION
Singapore Management University is a place where high-level professionalism blends together with a healthy informality. The family-like atmosphere among the SMU community fosters a culture where employees work, plan, organise and play together - building a strong collegiality and morale within the university.
Our commitment to attract and retain talent is ongoing. We offer attractive benefits and welfare, competitive compensation packages, and generous professional development opportunities - all to meet the work-life needs of our staff. No wonder, then, that SMU continues to be given numerous awards and recognition for its human resource excellence.
RESPONSIBILITIES
- Strategic Data Stacks Initiative
- Lead coordination with internal stakeholders (researchers, SMU offices such as IT teams) and external partners (data owners, government agencies) to establish and maintain a data catalogue aligned with SMU's strategic research areas.
- Drive adoption of the enTRUST platform by designing and delivering training for faculty to effectively explore and navigate SMU data resources.
- Oversee onboarding and researcher engagement with enTRUST tools (e.g. Amazon Workspaces, SageMaker Studio, JupyterLab), ensuring a seamless user experience.
- Develop institutional training frameworks and guidance on data anonymization and data linking workflows, promoting responsible and ethical use of data.
- Produce and maintain user guides, training materials, and FAQs that build sustainable capacity in the use of the data catalogue and secure analysis environments.
- Co-creation of role with reporting manager
- Research Data Management Responsibilities
- Lead the implementation and continuous refinement of SMU's revised RDM policy and institutional guidelines.
- Develop and deliver training, guidance, and templates to strengthen researchers ability to prepare effective Data Management Plans (DMPs).
- Facilitate and promote the systematic deposit of research data into the SMU Research Data Repository and other approved storage solutions, ensuring compliance with institutional and funder requirements.
- Collaborate with internal departments and stakeholders to design and enhance workflows, SOPs, and best practices that embed robust RDM across the research lifecycle.
- Any other duties as assigned.
QUALIFICATIONS- Bachelor's or Master's degree in Information Science, Data Science or any discipline with strong data focus is preferred
- At least 6 to 10 years of relevant professional experience, preferably experience at a strategic or institutional level.
- Experience working in academic or research environments is required.
- Proven ability to coordinate and communicate effectively across university departments (e.g., PVO, IITS) and with external stakeholders.
- Excellent organizational skills and attention to detail, including ability to track requests, manage workflows, and ensure timely delivery.
- Experience handling large or complex datasets, such as longitudinal panel data.
- Proficiency in at least one programming or scripting language (e.g., Python, R, or SQL).
- Familiarity with data privacy, anonymization techniques, and data governance principles.
- Knowledge of research data management (RDM) best practices.
- Familiarity with data analysis workflows and foundational AI/ML concepts (e.g., LLMs, supervised learning) to support researchers working in secure environments.
OTHER INFORMATION#LI-XL1
Candidates who do not possess the stipulated qualifications but have relevant work experience may still apply. Remuneration and appointment terms shall commensurate with qualifications and experience. SMU reserves the right to modify the appointment terms where necessary.
Please note that your application will be sent to and reviewed by the direct employer - Singapore Management University
