Using data and computational techniques, the University Planning Office (UPO) provides research and analytical support to senior management, informing decision-making, policy formulation, and resource allocation.
UPO’s core responsibilities include
(1) core data capabilities, serving as the institutional data custodian, and liaising with UGC, ranking agencies, and external stakeholders;
(2) supporting senior management by benchmarking and monitoring the University’s performance, facilitating data-driven policy and resource planning, and providing support to the Provost’s Office; and
(3) supporting institutional data initiatives, including process re-engineering, institutional efficiency enhancement, and leading institutional data projects.
Being a core contributor to the success of UPO’s mission, the appointee will be responsible for
(a) supporting the adoption of AI in data collection, analysis, and reporting processes;
(b) automating workflows in daily operations to enhance working efficiency and consistency;
(c) integrating AI tools and methodologies to improve data quality in submission;
(d) implementing strategic (data-related) projects to provide institutional data management capabilities;
(e) supporting ad hoc management information analysis and enquiry needs; and
(f) performing other relevant duties as assigned by the unit head/supervisors.
Applicants should have
(i) a Bachelor’s degree in Computer Science, AI & Machine Learning, Information Management, Data Science, or related disciplines;
(ii) 2 years’ post-qualification experience in business and system analysis, AI applications, and data management/analytics, preferably on institution-wide data integration in the higher education sector;
(iii) strong verbal and written communication skills in both technical and business languages;
(iv) a highly motivated and independent working style, with strong analytical and critical thinking skills;
(v) a proactive and innovative mindset in embracing and applying AI technologies in building data-driven solutions;
(vi) a solution-oriented mentality and problem-solving ability with good awareness of data security and data privacy; and
(vii) good team spirit with strong interpersonal and teamwork capabilities to contribute in a cross-functional/cross-team collaborative environment.
Having hands-on work experience in similar sectors will be advantageous. Applicants with less but relevant experience will also be considered.
Appointment will initially be made on a 2-year contract with contract-end gratuity, renewable subject to good performance and mutual agreement.
[Applicants who have applied in response to the previous advertisement for the same post (Ref. 260000YX) need not re-apply.]
