Assistant Manager/Manager/Executive Manager (Sustainability Division) - Contract

The Sustainability Division (SD) plans, strategises, and develops initiatives to drive resource conservation and environmental sustainability across the public, private, and people sectors to contribute to Singapore’s efforts in mitigating climate change and moving towards a zero-waste nation. It develops and promotes programmes, coordinates and administers incentive schemes, and builds capability to support this drive. It also coordinates efforts within NEA for the organisation and its staff to play its own part in the nationwide effort. Responsibilities You will be part of the dynamic Households Branch under the Department of Sustainable Packaging Policy and Household Programmes in SD. You will support the administration of the enhanced Climate Friendly Households Programme, working closely with participating retailers, internal and external stakeholders to ensure the programme is implemented smoothly. Detailed work scope includes the following: • Support the review and implementation of the enhanced Climate Friendly Households Programme (CFHP), such as• Addressing feedback, enquiries and appeals from members of the public • Engaging with government agencies (e.g. HDB), internal (e.g. legal, finance) and external stakeholders (e.g. retailers) on the programme implementation • Engaging with participating retailers on CFHP operation matters • Conducting data analysis to enhance operational efficiency and evaluate programme effectiveness • Supporting in other ad-hoc duties Requirements This job might be for you if you possess the following qualities: • Preferably 2 years of relevant experience in stakeholder engagement/service delivery service, data analysis, or sustainability fields; and/or regulatory/programme management roles • Experience in managing large-scale programmes; developing/implementing recycling/energy efficiency initiatives/programmes would be highly advantageous • Excellent writing and communication skills • Quantitative skills in data synthesis, data analysis and projections. • Proficient in MS Excel and other data analytics tools (e.g. R, Qlik) • Dynamic and pleasant personality, with excellent interpersonal skills to engage diverse stakeholders • Meticulous with an eye for detail; strong analytical and problem-solving skills • Good team player; resourceful, resilient, highly self-motivated, and adaptable Organised and good at multi-tasking