Senior Multimedia Technology Manager (ALTO) (Ref: 26001X6)

We are now looking for a suitable person to fill the following position in Office for Advancement of Learning and Teaching (ALTO):

Senior Multimedia Technology Manager (ALTO) (Ref: 26001X6) 

Major Duties and Responsibilities

The appointee will be responsible mainly for the following:

• Taking the lead to implement new initiatives by applying the latest technologies, including Artificial Intelligence (AI) in learning and teaching;

• Overseeing the design, development, enhancement and maintenance of AI Systems;

• Evaluating software development lifecycle processes, workflows, standards, and quality-assurance practices;

• Designing system architectures, configuring and managing servers and cloud infrastructure;

• Managing the procurement and tendering of IT hardware, software, and cloud services;

• Supervising Managers and Systems Analysts, and monitoring their assigned tasks;

• Conducting in-house training and assisting in the provision of professional development for University staff;

• Undertaking other duties and responsibilities as assigned by the Director of the Office for Advancement of Learning and Teaching and his/her nominees.

Candidates

Candidates should possess the following qualifications, experience and competence:

• A recognized bachelor's degree in Computer Science Artificial Intelligence, or a related discipline.

• At least 10 years' relevant post-qualification experience in IT project management and application development, preferably in higher education institutions;

• In-depth knowledge of modern web technologies, including Python, Node.js, TypeScript, Vue.js/React, relational databases (PostgreSQL, MySQL), LMS platforms, and AI applications;

• Strong expertise in driving AI applications and integration strategy, with practical experience in leveraging LLMs, Machine Learning technologies, and modern AI frameworks to solve academic/institutional problems.

• Strong leadership in vendor management, budget planning, IT governance, and system integration across cross-functional teams;

• Strong project management skills, communication skills, supervisory skills, and problem-solving skills, with the ability to translate academic/institutional requirements into technical solutions.

Candidates may be invited to attend a written test.

Terms and Conditions for Appointment

An attractive remuneration package, including basic salary, a composite cash/housing allowance, an end-of-contract gratuity, and a discretionary incentive payment, where applicable, will be offered to the right candidates. Generous annual leave, staff-development sponsorships, medical and dental benefits, and life insurance coverage will also be provided.

To Apply

Candidates who are interested in joining us may submit their applications via the University’s eRecruitment System.

https://hkmu.taleo.net/careersection/ex_full_time/jobapply.ftl?lang=en&job=26001X6

Closing date of application: 10 September 2026

The personal data collected will be used for the purpose of considering your application for employment. For details, please refer to the “Personal Data (Privacy) Notice for Job Applicant” on the University’s website. If you are not contacted by the University within eight weeks from the closing date of application, you may assume that your application was unsuccessful.