Job Description

Industry: Government / Culture Working hours: Mon - Fri, 9am - 6.30pm Location: Lavender Salary: Up to $3,800/month Employment Type: Contract - 1 year Responsibilities: * Prepare recommendati Industry: Government / Culture Working hours: Mon - Fri, 9am - 6.30pm Location: Lavender Salary: Up to $3,800/month Employment Type: Contract - 1 year Responsibilities : Prepare recommendation reports/presentations on the system issues faced and the possible solutions to be taken by respective stakeholders. Assist in change management (e.g., Coordinate GeBiz system implementation, attend to GeBiz enquiries faced by system users) Perform data cleansing and analytics for procurement risk management Identify trends and potential areas for procurement policy reviews. Review procurement documents prepared by Divisions to ensure compliance Review of the procurement templates, forms and the re-organisation of the materials in Intranet. Provide support to address procurement issues, advise Divisions on Procurement issues Requirements : Possesses a Bachelor's Degree At least 2 years of experience in managing Procurement Knowledge of GeBiz system To apply, please click 'Apply Now' OR send your updated resume to spmg(at)scientecpersonnel.com with the Subject: Temp Procurement Manager (J38170). By submitting any application or resume to us, you will be deemed to have agreed & consented to us collecting, using, retaining & disclosing your personal information to prospective employers for their consideration. Please refer to ScienTec's Privacy Policy (https://www.scientecconsulting.com/privacy-policy) for full details. If you wish to withdraw your consent, please write to us at dpo(at)scientecconsulting.com. (Note: Any resumes of job applications sent to this mailbox will not be attended as it is solely for the purpose of personal data protection related matters.) Goh Yi Min, Mai | R22104617 ScienTec Consulting Pte Ltd | 11C5781 Keywords: Procurement / Procurement Admin / Government Procurement / Review policies / GeBiz / GeBiz system / Data analytics / Data cleansing