Estate Manger (Resale Planning)

[What the role is]

The role is an Estate Manager in HDB's Resale Department, focused on managing and improving systems and e-services for resale flat transactions. Key responsibilities include analysing data, leading process improvement initiatives, and managing end-to-end projects across teams. There may also be rotation into a Customer Relations Manager role, handling flat transaction processing and eligibility assessments.

[What you will be working on]

As an Estate Manager in the Resale Department’s Planning Section, your responsibilities include administering and reviewing systems and e-services to support operational efficiency and drive customer service excellence. You will be expected to:

• Synthesise and analyse complex datasets and prepare well-considered and reasoned responses to internal and external stakeholders.

• Lead initiatives to evaluate and enhance existing systems to improve and streamline processes related to resale flat purchases, balancing policy, operations, and technical considerations.

• Manage end-to-end projects, coordinating across teams and agencies to drive process improvements and system enhancements from scoping through to implementation. This includes representing business and operational interests in discussions with technical teams, translating operational requirements into clear specifications, and ensuring that system changes and new features meet the practical needs of the department.

Depending on operational needs, you may also be rotated to take on the role of a Customer Relations Manager, supporting the processing of new/resale HDB flat transactions and assisting applicants with eligibility assessments and appeals, including preparing case reports and submissions for management’s consideration.

[What we are looking for]

We are looking for candidates with strong analytical and critical thinking skills, good project management ability, and who can manage internal and external stakeholders effectively. Candidates should be able to work independently, and as part of a team, possess a customer-centric mindset and have strong integrity. Knowledge and experience with data analysis, programming (e.g. R, Python, SAS) and/or mainframe systems is a plus.

Successful candidates will be offered a 1+1 year contract.

All applicants will be notified on whether they are shortlisted for the position within 4 weeks of the closing date of this job posting.