Job description
The Academic Assistant, Systems, Data & Quality Coordinator supports the College of Arts and Sciences in academic administration, systems management, data reporting, quality assurance, process improvement, and digital capability.
POSITION RESPONSIBILITIES
- Academic Systems & Digital Platforms: Administer Canvas, Simple Syllabus, Digital Uni and other College digital platforms; manage course setup, templates, user access, workflows and provide user support/training.
- Data & Reporting: Manage and consolidate College data; develop dashboards and reports covering student enrolment, faculty workload, budget, surveys and key performance indicators; ensure data accuracy, consistency and timeliness.
- Quality Assurance & Accreditation: Coordinate the College QA framework, annual QA activities, surveys, evidence collection and accreditation submissions; monitor follow-up actions through completion.
- Process Improvement & Automation: Develop and maintain service-request systems, SOPs, templates and knowledge resources; identify and automate repetitive administrative processes using tools such as Power Automate.
- AI & Digital Capability: Support the responsible adoption of Generative AI; develop AI guidelines and resources, evaluate use cases, and provide training and support to staff.
- Knowledge Management & Business Continuity: Document key processes, systems and responsibilities; maintain critical knowledge and contingency arrangements to ensure continuity of operations.
- Stakeholder Coordination: Work closely with the Dean, Vice Dean, Central IT, Teaching & Learning, Institutional Research, QA, academic coordinators and faculty members.
Requirements
- Bachelor’s degree or higher in Information Systems, Business, Education, Data Analytics, Computer Science or a related field.
- At least 2 years of relevant professional experience, preferably in higher education or a similar environment.
- Experience with LMS/academic systems, preferably Canvas or equivalent.
- Strong skills in Excel/Power Query, Google Sheets, Power BI or Looker Studio.
- Experience with workflow automation, such as Microsoft Power Automate.
- Strong data management, reporting, organizational and project coordination skills.
- Excellent communication skills and ability to work independently and collaboratively with multiple stakeholders.
- Strong attention to detail and ability to handle confidential information appropriately.
- Experience in quality assurance, accreditation, documentation or compliance is desirable.
- Knowledge of SQL, Python, CMS/digital platforms and Generative AI is an advantage.
- Strong data-driven, digital, process improvement, quality and AI literacy mindset, with a high level of ownership and accountability.
