Senior Manager

**What the role is**
- Data Science Delivery - Implementation of the Organisation's population-based data science platform.
Overview of the Organisation's Policy, Research and Surveillance (PRS) Division
Advance the transformation of health promotion through the delivery of internationally-recognised and high-performing policies, evidence and intelligence.
Overview of the Programme Evaluation Department (sits within PRS division)
The Organisation is working towards a 5 years Precision Public Health (PPH) strategy to deliver more personalised and engaging lifestyle programmes to sustain holistic health habits at a population level. This will in turn translate to better health outcomes and reduced disease burden for Singapore through increased scalability and reach of impactful programmes, informed by deep understanding of individual’s health and wellness needs.
Recognising the efficacy of big data and artificial intelligence in optimising sharper insights and outcomes for public health, the department is taking a proactive role to drive the implementation of advanced analytics and data science to support the transformation in programme delivery and facilitate an evidence-based, data-driven approach to programme evaluation.
To deliver on the PPH vision, the Organisation seeks to offer citizens access to an integrated and holistic health journey personalised to their individual motivations and progression, delivered at the right time through the right touch points. To achieve this, the Organisation is setting up a new national scale Data Science System, that leverages the rich retrospective and prospective individual level data amalgamated across diverse Organisation programmes and research platforms to deliver personalised interventions and messages in order to drive different behavioural changes. Data science and machine learning models will be developed by the Organisation’s vendor in collaboration with the Organisation's analytics team and its partners (e.g. academics, AISG, A*STAR etc) to recommend relevant lifestyle challenges, interventions and nudges based on defined use cases, individuals’ profiles and health risks over time through the organisation’s frontend platforms such as the H365+ app.
We are looking for dynamic and enthusiastic individuals, with strong ML engineering, business engagement and project delivery experience, to join us on this pioneering journey to shape and transform the way programmes are delivered to citizens. You will get to see the end-to-end development to deployment process of a population-based data science system, from pilot to testing, scaling and evaluation. You will get the opportunity to work with big data from diverse Organisation and partners’ data sources (e.g. food transaction data, sports attendance data, screening and sensor data) to facilitate data feature engineering and machine learning use cases pivotal to powering the data science engine. You will also have the opportunity to be involved in strategic collaborations with partners (e.g. public healthcare and data science institutions, academics and technology players) to bring in their data, programmes and data science expertise onto the platform to benefit citizens.

**What you will be working on**
- Project manage and be the overall engagement lead to bring together the Organisation's vendors, partners, IT and business teams to plan, prioritize and drive processes that enable timely delivery of the data science system to support programme needs.
- Map and evolve the delivery strategy and solution with data science vendor and various business teams to align with shifting business needs and priorities.
- Collaborate with cross-functional internal business units and external stakeholders to translate business needs and requirements into technical and data science deliverables.
- Lead cross-functional teams across CDO, Programmes, Analytics etc to bring together disparate datasets to facilitate machine learning and data science use cases.
- Lead updates to senior management on project progress and surface issues for collective deliberation and decision-making.
- Drive processes to bring in services and external expertise to deliver on data science solutions.

**What we are looking for**
- Bachelor/Masters degree in Computer Science, Business, Engineering or Information Systems with major / project experience in data science and/or business analytics from a recognised university.
- Professional certifications in data science, ML engineering and business analytics from accredited professional bodies coupled with a few years of related working experience for graduates from other disciplines is also acceptable for the position.
- Minimum 5 years of relevant project management and delivery experience. Experience in end-to-end deployment of machine learning and analytics projects in production environment is a strong plus.
- Strong ML and data engineering skillset.
- Experience working with cloud-based analy