Senior Manager / Manager (Financial Systems), Finance Office at Hong Kong Baptist University

Hong Kong, Hong Kong Island, Hong Kong S.A.R. -

Full Time

Start Date

Immediate

Expiry Date

07 Jul, 26

Salary

0.0

Posted On

08 Apr, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Financial systems, Project management, Data analysis, Dashboard development, ETL technologies, Alteryx, Python, Power BI, Qlik Sense, ERP systems, Oracle EBS, Hyperion, Robotic process automation, Data pipelines, Workflow management, Financial reporting

Industry

Higher Education

Description

FINANCE OFFICE Senior Manager / Manager (Financial Systems) (25260633) The appointee is expected to assist the Assistant Director of Finance (Special Projects and Business Partnering) in driving the transformation journey and various initiatives/projects related to Office Automation, Financial Analysis, Dashboard and Reporting, and streamlining operation workflows of the Office. Responsibilities: * Lead the implementation of financial systems, including project coordination, user requirement collection, system testing and user training; * Manage external vendors and consultants involved in financial system projects and ensure quality deliverables are met within the agreed timeline; * Identify opportunities for process improvements, system enhancements and automation to optimise financial operations, such as workflow management and robotic process automation; * Identify and gather business requirements to design and implement automated reporting solutions and dashboards that meet business objectives; * Oversee the design and maintenance of robust and efficient data pipelines that integrate data from multiple sources for both analytical and operational purposes; * Develop and manage interactive dashboards to provide real-time insights and support data-driven decision-making at all levels; * Create and maintain comprehensive data catalogues and data mapping with effective documentation and controls that correspond to business planning and analytical needs; * Provide value-added comments and advise on system-related projects; and * Perform tasks assigned by supervisors. Requirements: * A bachelor’s degree in Computer Science/Information Systems/Accounting or a related discipline; * 8 years of relevant work experience or above (those with less experience will be considered as Manager); * Expertise in ETL technologies (e.g. Alteryx and Python) and data visualisation tools (e.g. Power BI and Qlik Sense); * Knowledge of ERP system (e.g. Oracle EBS) and Hyperion is a definite advantage; * Strong computer literacy in Microsoft Windows and Microsoft 365; * Strong analytical and interpersonal skills, with the ability to effectively communicate ideas and solutions; and * A good command of both written and spoken English and Chinese. Shortlisted candidates will be invited to attend a written assessment. The initial appointment will be offered on a fixed-term contract of three years. Re-appointment thereafter will be subject to mutual agreement and availability of funding. Salary will be commensurate with qualifications and experience. Application Procedure: Applicants are invited to submit their applications at the HKBU e-Recruitment System. Those who are not invited for interview 8 weeks after the submission of application may consider their applications unsuccessful. Details of the University's Personal Information Collection Statement can be found at https://hro.hkbu.edu.hk/en/worklife-at-hkbu/employee-favourable-environment.html#privacy-policy. The University reserves the right not to make an appointment for the post advertised, and the appointment will be made according to the terms and conditions applicable at the time of offer. Review of applications is ongoing until the position is filled.

Responsibilities

The appointee will lead the implementation of financial systems, including project coordination, user testing, and training. They will also identify opportunities for process automation and develop interactive dashboards to support data-driven decision-making.