Purpose: Support the development and continuous improvement of academic and institutional resources through AI, digital tools, databases and structured information systems.
Key Responsibilities
- Develop, organize and maintain structured academic resources in line with curriculum frameworks and quality standards.
- Apply AI-assisted tools and structured prompts to develop, refine and review academic materials within agreed guidelines.
- Support academic teams in consistent review, verification and quality assurance processes.
- Build and maintain databases and repositories covering institutional stakeholders and academic operations.
- Design AI-assisted workflows and agents that reduce repetitive administrative work and guide users through forms and institutional processes.
- Work with academic and administrative staff to identify where AI and digital tools can improve existing processes.
- Provide technical support for implementing and improving AI-enabled institutional solutions.
Desired Candidate Profile
Qualifications (Essential)
- Bachelor's degree in Computer Science, IT, Information Systems, Data Science, Education Technology or a related discipline.
- Demonstrated use of generative AI tools in a professional or academic setting.
- Sound understanding of structured prompting for information processing and workflow support.
- Strong digital literacy across databases, spreadsheets and online platforms.
- Minimum 2 years' relevant experience; strong graduate with demonstrable AI projects will be considered.
Desirable
- AI agents, workflow automation, or no-code/low-code platforms.
- Database design and data management.
- University, educational or healthcare environment.
- Quality assurance and structured documentation processes.
- Data protection, information security and responsible AI use.