[What the role is]

Looking for a job that actually makes a difference?

Join us at the Forefront of Shaping Healthier Lives!

The Health Promotion Board (HPB) is seeking a highly motivated, innovative and dynamic candidate to advance health promotion through the translation of research to practice.

The job holder will play an important role in shaping the next generation of health promotion by distilling learnings and insights research, rich data and novel technologies, and translating these into actionable recommendations that inform the development of population‑scale digital health interventions. This includes leading the research and development of health interventions that integrate behavioural science, emerging technologies (including generative AI), and population‑scale digital platforms.

[What you will be working on]

The jobholder will drive and manage high impact projects in priority growth areas by:

• Distilling complexity across data, behavioural insights, user research and implementation constraints into clear, decision‑ready narratives (in writing and slides) for diverse stakeholders

• Incorporating behavioural insights in the setup, design, testing and review of human-centric user experiences and digital health interventions

• Managing the digital product cycle, including ideation, design and execution of feasibility trials, outcome evaluation, and translation of learnings into deployment‑ready insights and recommendations. This includes leading and coordinating a multidisciplinary tech squad (product, engineering, data, design) to support rapid experimentation, prototyping and evaluation of generative AI‑enabled coaching and personalisation concepts.

• Working with cross-functional teams comprising subject matter experts, data scientists, deployment teams and practitioners to develop innovative and practicable solutions

• Demonstrating value to citizens in developed solution through quantifiable outputs and outcomes, and developing compelling narratives to convince and secure buy-in from internal and external stakeholders

Required Skills and Competencies:

• Ability to adopt big picture thinking and distil clarity from complex problems

• Ability to synthesise insights across multiple, partially‑formed research and product workstreams into coherent decision narratives

• Ability to connect disparate signals across policy, technology, behavioural science and on‑the‑ground implementation for convergence into solutioning and problem solving

• Comfortable acting as an integrator across research, technology and policy rather than a depth specialist in a single domain

• Familiarity with behavioural insights and design thinking

• Comfortable managing complexity and ambiguity in a fast-paced environment

• Strong sense of intellectual curiosity and openness to new ideas

• Demonstrated ability to quickly build working knowledge in new and emerging health or technology domains

• Strong project management skills to support research, experimentation and cross‑functional coordination

• Excellent written and verbal communication skills with ability to engage a wide range of audience

• Comfortable as an individual contributor or leading a team

[What we are looking for]

• Good degree in any discipline

• At least 8 years of total relevant working experience with 5 years of practical experience overseeing and/or managing end-to-end projects including stakeholder management and 3 years of experience leading cross-functional or multidisciplinary teams to oversee development and implementation of end-to-end product cycles or multi-year projects

• Practical ground experience and proven track record in applying behavioural insights, with familiarity in design thinking approaches to inform intervention design and testing

• Prior experience working in the field of public health, health care, health sciences, research or quantitative domains will be an added bonus

• Experience working with AI‑enabled or data‑driven digital products (including generative AI) is a strong advantage

While this role works closely with AI technologies and tech teams, it remains fundamentally a research‑ and insight‑driven role focused on learning, synthesis and translation, with deployment as an outcome of evidence rather than a starting point.

Successful candidates will be offered a 2-year contract in the first instance.