Manager, Digital Innovation & Enablement

CHI Mission: Driving innovation for systems change

The Centre for Healthcare Innovation (CHI) is committed to catalysing and driving innovation for systems change in healthcare, thereby adding years of healthy life. Built on the foundation of co-learning and collaboration, CHI’s core is in facilitating innovation through its suite of platforms and programmes. CHI has built a dynamic network of local and international partners who are dedicated to fostering innovation, creating thought leadership, co-building initiatives to inculcate and embed a culture of innovation within healthcare. We spearhead innovation by driving the adoption of the CHI Innovation Cycle, care and process redesign and in the use of technology. CHI leads transformation at the care, systems and ecosystem levels to achieve better health and healthcare.

About the Digital Innovation Office (DIO
The Digital Innovation Office (DIO) under the Centre for Healthcare Innovation (CHI) drives NHG Health’s digital transformation across three key platforms: Digital Hospital, Digital Community, and Health Empowered by AI Launchpad (HEAL).

DIO’s mission is to enable transformation and deliver impact by supporting institution-led platforms that advance workforce and care transformation. Through collaborative programmes and partnerships, DIO serves as a catalyst for AI adoption at scale and digital innovation across hospitals and community care.

JOB SUMMARY

The role to support cluster-wide digital health transformation initiatives by driving strategic partnerships, enabling AI and data-driven innovation, and coordinating cross-institutional digital programmes across NHG Health.

MAIN DUTIES AND RESPONSIBILITIES

Strategic Partnerships & Digital Innovation

• Support senior leadership (Assistant Director, Deputy Director, Director) in executing cluster-level digital health and AI transformation strategy.
• Manage and coordinate strategic partnerships with industry, academia, and government agencies in areas such as AI/ML, digital health applications, cloud platforms, and MedTech.
• Identify and evaluate high-potential digital health and AI-enabled solutions for pilot development, validation, and scaling across institutions.
• Coordinate cross-institutional implementation of digital initiatives, ensuring alignment with enterprise architecture, cybersecurity, and governance requirements.
• Oversee project governance including timelines, deliverables, risk tracking, and stakeholder communications.
• Contribute to development and refinement of internal policies and processes related to digital innovation, AI implementation, and technology translation.

AI, Data & Digital Enablement for Research and Innovation

• Support cluster-wide AI and data enablement initiatives to strengthen research, clinical innovation, and digital transformation efforts.
• Demonstrate sufficient technical literacy to understand AI/ML concepts, data pipelines, system integration workflows, APIs, and software development life cycles.
• Work closely with IT, data, and clinical teams to identify data access challenges, governance bottlenecks, cloud architecture considerations, and capability gaps.
• Facilitate workshops and governance discussions on AI implementation, data governance frameworks, and responsible AI practices.
• Review and recommend improvements to data governance policies, ensuring alignment with regulatory, ethical, and institutional requirements.
• Track systemic issues in data access and digital workflows, providing structured insights to inform strategic planning and KPI development.
• Support discussions on AI ethics, model validation, explainability, and deployment considerations within healthcare settings.

JOB REQUIREMENTS

• Bachelor’s degree in IT, Engineering, Business, Health Informatics, or related fields.
• 2–5 years of experience in digital health, AI initiatives, healthcare innovation, MedTech, Strategy & Enablement, or digital transformation programmes.
• Strong understanding of digital transformation principles, cloud platforms, healthcare data workflows, and AI/ML fundamentals.
• Familiarity with data governance frameworks, AI ethics considerations, and institutional research data processes.
• Strong stakeholder management skills; able to engage effectively across clinicians, researchers, IT architects, data engineers, and administrative teams.
• Structured thinker with strong coordination, facilitation, and programme management capabilities.
• Self-motivated, organised, and results-oriented, with a strong interest in leveraging AI and digital technologies to improve healthcare delivery and research impact.