Innovation Manager

Main Purpose Of Job

Key Responsibility Areas

• **Innovation Program Management**
• : Run hackathons, accelerators, and open-innovation challenges that surface deployable solutions ready for rapid adoption and to foster creative problem-solving.
• **Ground-Up Innovation and Proof-of-Concept Development**
• : Support and fast track ideas through small-scale pilots, gather real-world evidence, and convert successful pilots into live deployments.
• **Research and Business Sustainability**
• : Leverage academic and industry collaborations to validate use cases, drive research, and design initiatives that ensure long-term clinical, financial, and social impact.
• **Platform Development & Deployment**
• : Oversee the design, testing validation, and seamless integration of off-the-shelf or partner-provided platforms into existing clinical and business workflows.
• **Commercialisation & Scaling**
• : Create go-to-market playbooks, secure stakeholder buy-in, and manage large-scale roll-outs to maximise adoption, revenue.

Essential Education

• Master’s degree in Business Administration, Healthcare Management, Innovation Management, Health Sciences, or a related field.

Desired Education

• Certifications in Innovation Management, Design Thinking, Lean Startup.

Required Experience

• 5+ years leading innovation programs, open innovation challenges, or business incubation, preferably in healthcare.
• Experience in organizing hackathons, commercialization of early-stage innovations, and business sustainability initiatives.

Required Job Skills And Knowledge

• Ability to visualize and design system delivery for new projects
• Agile project methodology and design thinking
• Comfortable in using design thinking to tackle innovation challenges

• Application Portfolio Management

• Innovation pipeline and portfolio tools
• Knowledge in use of Project Portfolio management software (e.g. PPO)
• Commercialisation and Go-to-Market Strategies
• Ability to influence and engage stakeholders (project managers, hospital staff, system users) to support training objectives
• Artificial Intelligence and Machine Learning, including natural language processing models
• Ethical Considerations
• Ethical product knowledge