Academic Registry
Assistant Registrar
(Ref. 261012008-IE)
Duties
The Academic Registry (AR) is seeking a high-calibre professional to lead the evaluation, development, and implementation of innovative AI-enabled solutions to enhance AR’s workflows and services. The appointee will be responsible for planning and implementing the revamping and enhancement of the Student Information System using a data hub approach. The appointee will also be required to:
(a) identify, assess and prioritise opportunities to apply Generative AI, intelligent automation, and self-service solutions to re-engineer workflows, improve operational efficiency and data quality, and enhance user experience;
(b) design and implement workflows for new initiatives and manage operational risks, particularly for processes involving complex system integrations, while ensuring alignment with the priorities of IT and academic leadership;
(c) define operational responsibilities, interfaces, and escalation routes to ensure seamless information sharing across internal departments and external partners;
(d) ensure data integrity and governance across systems through mapping, reconciliation and issue resolution;
(e) maintain compliance with academic regulations, partnership agreements and legal requirements;
(f) serve as the primary contact for system enquiries, ensuring timely triage and resolution; and
(g) perform any other duties as assigned by the Registrar, Associate Registrars and/or their delegates.
Qualifications
Applicants should have:
(a) a recognised degree, preferably in Computer Science, Information Technology, Data Science, or a related discipline, with possession of a relevant postgraduate qualification being an advantage;
(b) at least eight years of relevant managerial experience, with substantial experience in digital transformation, preferably in the higher education sector or large-scale service organisations;
(c) solid understanding of student administration systems (e.g., Banner, PeopleSoft, or similar ERP systems) and academic business processes;
(d) strong technical expertise, particularly in Generative AI and related technologies, including practical experience with Large Language Models (LLMs), prompt engineering, RAG (Retrieval-Augmented Generation) architectures, and AI integration frameworks, as well as intelligent automation and AI-enabled workflow solutions;
(e) a proven track record of leading digital transformation and process re-engineering initiatives, guiding multidisciplinary teams, engaging senior stakeholders, managing vendors and consultants, and coordinating complex projects and system implementations;
(f) good understanding of cybersecurity, data governance, responsible AI and privacy regulations (such as Personal Data Privacy Ordinance), and secure handling of sensitive personal data, and preferably with experience in the governance or security of AI-enabled applications;
(g) strong analytical, problem-solving, organisational and project management skills, with the ability to translate operational requirements into practical and scalable digital solutions;
(h) strong communication and interpersonal skills, with the ability to explain technical matters clearly to non-technical stakeholders and work effectively with colleagues at different levels; and
(i) high proficiency in both written and spoken English and Chinese, with fluency in Putonghua.
Shortlisted candidates will be invited to sit for a written test.
Conditions of Service
A highly competitive remuneration package will be offered. Initial appointment will be on a fixed-term gratuity-bearing contract. Re-engagement thereafter is subject to mutual agreement.
Consideration of applications will commence on 26 October 2026 until the position is filled.
Posting date: 12 October 2026