AI Director

Job Purpose:

To lead the development, implementation, and scaling of artificial intelligence solutions across the Group by translating clinical, operational, and business needs into measurable outcomes. The role is responsible for establishing and leading the AI Center of Excellence, executing the Group’s AI strategy and governance framework, developing internal AI capabilities, and collaborating with key stakeholders to identify, design, validate, deploy, monitor, and scale high-value AI solutions.

The Director will also provide technical leadership in solution architecture, evaluation, prototyping, implementation decisions, and the resolution of technical and operational challenges, while identifying and supporting innovation, research, and commercialization

To lead the development, implementation, and scaling of artificial intelligence solutions across the Group by translating clinical, operational, and business needs into measurable outcomes. The role is responsible for establishing and leading the AI Center of Excellence, executing the Group’s AI strategy and governance framework, developing internal AI capabilities, and collaborating with key stakeholders to identify, design, validate, deploy, monitor, and scale high-value AI solutions.

The Director will also provide technical leadership in solution architecture, evaluation, prototyping, implementation decisions, and the resolution of technical and operational challenges, while identifying and supporting innovation, research, and commercialization

• AI Strategy Execution and Portfolio Management:
• Support the execution of the Group’s enterprise AI strategy and translate strategic priorities into an actionable AI roadmap and portfolio of initiatives.
• Develop and maintain a prioritized portfolio of AI initiatives with defined objectives, business owners, technical requirements, timelines, expected outcomes, and measures of success.
• Establish a structured process for identifying, evaluating, and prioritizing AI opportunities based on clinical or operational value, technical feasibility, data readiness, implementation requirements, risk, scalability, and expected return on investment.
• Maintain a balanced portfolio across clinical AI, predictive analytics, operational optimization, administrative automation, workforce productivity, patient engagement, natural language processing, generative AI, and other emerging AI capabilities.
• Provide regular visibility into the AI portfolio, including implementation progress, dependencies, risks, resource requirements, outcomes, and opportunities for scale.
• AI Solution Development and Implementation:
• Lead AI initiatives through the complete delivery lifecycle from problem identification and feasibility assessment through prototype, minimum viable product, validation, integration, production deployment, adoption, monitoring, and scale.
• Work directly with software developers, data engineers, clinical informaticists, clinicians, and business teams to translate organizational needs into deployable AI solutions.
• Develop, prototype, or technically lead the development of AI and machine learning solutions where appropriate.
• Establish rapid prototyping capabilities to evaluate promising ideas before significant resources are committed.
• Ensure successful prototypes and pilots have clearly defined pathways to production and enterprise adoption.
• Maintain accountability for delivery timelines, technical quality, implementation readiness, adoption, and measurable outcomes.
• AI Technology and Engineering:
• Provide technical leadership across modern AI technologies including machine learning, deep learning, predictive analytics, natural language processing, large language models,…