Job description

Position Overview

To support block funding initiatives

Role & Responsibilities

  • Take charge of various stages of the systems development life cycle; adopting waterfall, agile or hybrid development methodology.
  • Be involved in project planning and budgeting.
  • Plan and lead project delivery.
  • Be involved in procurement (e.g. Call RFP/ITQ, evaluate and award to selected vendor).
  • Manage and work closely with various stakeholders (e.g. end users, senior management and external vendors).
  • Lead user requirement gathering sessions for the development / implementation of new systems or enhancements to existing systems.
  • Manage project implementation, application testing, supporting application patches and upgrades in accordance with project methodologies and policies.
  • Manage project based on the project plan and timeline to meet identified business needs, within agreed parameters of cost, duration and quality.
  • Mitigate project risks.
  • Understand IT management policy, quality management policy and security guidelines to ensure the development processes, procedures and system are designed to comply with these policies and guidelines.
  • Trial and evaluate potential solutions and technologies, and make recommendations to resolve business problems.
  • Provide thought leadership to deliver creative and cost-efficient data-related technical solutions.
  • Support strategic IT-, data management- and analytics initiatives as a technical advisor.
  • Provide guidance and coaching to junior team members.
  • Conduct end user training if required.


  • Degree/Master in Computer Science, Information Technology, Computer Engineering or equivalent.
  • 5+ years’ experience in building data warehouse or advanced analytics solutions.
  • 5+ years’ experience in project management.
  • Ability to manage/influence users, senior management and vendors, and coordinate with multi-disciplinary teams.
  • Strong analytical skills and ability to work both independently as well as in a team.
  • Thorough understanding of big data frameworks and methodologies, database and data warehousing concepts, dimensional design, and advanced analytics techniques.
  • Experience in one or more of the following: IT infrastructure, software engineering, technical security, data management, business intelligence or advanced analytics tools and products.
  • Expose to biomedical research/hospital information/clinical systems is an added advantage.

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