Director, Artificial Intelligence Office

Requirements

• Masters degree (advanced degree preferred) in a relevant field such as Computer Science, Data Science, Engineering, or a healthcare-related discipline, with at least 15 years of experience, including a minimum of 5 years in a senior leadership role.
• Demonstrated experience in developing and deploying AI solutions within healthcare, academic medicine, or similarly complex environments.
• Strong understanding of clinical workflows, research methodologies, and the regulatory and ethical considerations associated with AI in healthcare.
• Proven ability to lead cross-disciplinary teams and to engage effectively with clinicians, researchers, and senior stakeholders.
• Excellent analytical, strategic, and communication skills, with the ability to translate complex concepts into actionable initiatives.
• Track record of delivering impactful programmes that advance clinical care, operational effectiveness, or academic research.

Additional Information

We are seeking an experienced and forward-thinking leader to establish and lead the Artificial Intelligence (AI) Office. Reporting to the Chief Data andDigital Officer (CDDO) and Senior Management, the Director will play a pivotal role in advancing the responsible development, evaluation, and integration of AI across clinical care, healthcare operations, and academic research. This appointment offers a unique opportunity to shape AI-enabled innovation within a clinical academic environment, driving the translation of research into practice and enhancing patient outcomes, system performance, and scholarly excellence. KeyResponsibilities Develop and implement an enterprise AI strategy aligned with cluster and institutional priorities in patient care, education, and research. Establish robust governance frameworks to ensure the safe, ethical, and compliant use of AI, including data governance, model validation, and risk management. Oversee the design, evaluation, and deployment of AI-enabled solutions, with a focus on clinical relevance, safety, and measurable outcomes. Partner closely with clinicians, researchers, and operational leaders to integrate AI into care pathways, clinical workflows, and institutional systems. Advance translational AI by bridging research, clinical application, and real-world implementation, fostering innovation that is both evidence-based and practice-ready. Build education initiatives, provide mentorship and lead multidisciplinary teams spanning data science, clinical informatics, and applied research, while strengthening institutional capabilities in AI. Promote collaboration with academic institutions, research partners, and industry to accelerate innovation and knowledge exchange.

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Company Intel

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