
Learning Solutions Technologist, Dept of Educational Development
Salary undisclosed
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- Manage and/or support the end-to-end implementation and daily operations of enterprise EduTech-related project, including procurement, system implementation, service improvements, issue tracking and resolution, and technical support.
- Conceptualize, and implement process and operational enhancements for EduTech systems to increased productivity and to meet stakeholder requirements.
- Provide technical solutioning for end-users, i.e. academic staff, which includes user requirements gathering, identification of business needs, and proposing solutions to meet the requirements.
- Exploration of new technologies to support SP's key teaching and learning (T&L) initiatives including working with other institutes of higher learning on joint exploration projects on new T&L technologies.
- Relevant qualifications in Computer Science, Engineering, or Information Systems or equivalent
- Minimally 4 years of experience in the area of project management, procurement, implementation and management of enterprise-wide systems, preferably in a Civil Service/Public Service setting
- Able to work in an environment using Cloud systems
- Fluent in a variety of programming languages, software, and systems
- Competent computing and scripting skills
- Passion and interest in technologies especially EduTech
- Strong analytical and problem solving ability
- Strong interpersonal skills to engage with all levels of staff, including senior stakeholders to bridge user requirements and technical solutions
- Strong communication skills (written and spoken)
- Ability to multi-task and work within tight deadline
- Ability to work both independently and in a team
- Detail-oriented and highly organised
- Managing EduTech or Learning Analytics systems for an institution of higher learning
- AWS services (SageMaker, Athena, RDS, ECR, ECS, EMR, Lambda, Redis, etc.).
- Building and maintaining data pipelines, data wrangling and working with structure and unstructured datasets.
- Developing and implementing AI applications, prototypes or POC using Large Language Models.
- Sound knowledge of government security policy and compliance guidelines
- Manage and/or support the end-to-end implementation and daily operations of enterprise EduTech-related project, including procurement, system implementation, service improvements, issue tracking and resolution, and technical support.
- Conceptualize, and implement process and operational enhancements for EduTech systems to increased productivity and to meet stakeholder requirements.
- Provide technical solutioning for end-users, i.e. academic staff, which includes user requirements gathering, identification of business needs, and proposing solutions to meet the requirements.
- Exploration of new technologies to support SP's key teaching and learning (T&L) initiatives including working with other institutes of higher learning on joint exploration projects on new T&L technologies.
- Relevant qualifications in Computer Science, Engineering, or Information Systems or equivalent
- Minimally 4 years of experience in the area of project management, procurement, implementation and management of enterprise-wide systems, preferably in a Civil Service/Public Service setting
- Able to work in an environment using Cloud systems
- Fluent in a variety of programming languages, software, and systems
- Competent computing and scripting skills
- Passion and interest in technologies especially EduTech
- Strong analytical and problem solving ability
- Strong interpersonal skills to engage with all levels of staff, including senior stakeholders to bridge user requirements and technical solutions
- Strong communication skills (written and spoken)
- Ability to multi-task and work within tight deadline
- Ability to work both independently and in a team
- Detail-oriented and highly organised
- Managing EduTech or Learning Analytics systems for an institution of higher learning
- AWS services (SageMaker, Athena, RDS, ECR, ECS, EMR, Lambda, Redis, etc.).
- Building and maintaining data pipelines, data wrangling and working with structure and unstructured datasets.
- Developing and implementing AI applications, prototypes or POC using Large Language Models.
- Sound knowledge of government security policy and compliance guidelines