Senior Manager/ Assistant Director (Data Science), Programme Evaluation Job Vacancy in Health Promotion Board Singapore – Updated today

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Full Details :
Company Name : Health Promotion Board
Location : Singapore
Position :

Job Description : What the role is
The Health Promotion Board (HPB) 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, HPB 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, HPB 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 HPB’s vendor in collaboration with HPB’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 HPB’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 HPB’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.
• Manage and work with internal teams to conduct user acceptance testing and validation of platform features and data science model outputs to support data science applications and personalisation.
• 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.
• Broad knowledge of data science models and applications is a must.
• Experience working with cloud-based analytics platforms and tools such as Hadoop and Spark Ecosystems to deploy and productionise ML solutions.
• Adaptive, able to work in a fast-paced matrix environment, overseeing multiple projects concurrently within an agile environment.
• Strong problem resolution and negotiation skills to manage and deliver complex projects involving multiple stakeholders.
• Possess the maturity and interpersonal skills to build collaborative relationships and interface independently across a wide range of stakeholders with differing data handling and data science experiences.
• Strategic and able to connect the dots and distil complex discussions into key focus areas to work on and able to communicate and express complex data/concepts in a clear and simple-to-understand manner.
• Take an interest in digital health and healthcare.

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