Deputy Director of Data and Technology

• Significant leadership experience in data, digital or technology delivery within complex organisations.
• Experience developing and implementing technology strategies
• Strong stakeholder management and communication skills, with the ability to explain complex technical concepts to diverse audiences.
• Experience leading multidisciplinary teams, managing budgets
• Knowledge of governance, regulatory requirements and digital best practice.
• A passion for innovation and staying ahead of emerging technology trends.

Essential

• Educated to Masters level or equivalent level or equivalent experience of working at a senior level in specialist area (such as Computing, Scientific, Mathematical, Engineering, Statistical or related field).
• Experience of project and Programme management techniques and tools such as Prince 2 or Managing Successful Projects
• Relevant professional qualification as determined by the Professional Group (for example TOGAF)
• Relevant business or management training e.g., through MBA or equivalent

Essential

• Knowledge and experience working directly with key national health and care organisations
• Substantial industry experience within an Information Technology domain maintaining in-depth knowledge of specific technical specialisms and provides expert advice regarding their application
• Can manage specialist technical consultancy. The specialism can be any aspect of information or communication technology, technique, method, product, or application area
• Proven Board level experience of leading and delivering complex change and strategy development programmes in a politically, sensitive and complex environment
• Significant management experience at senior level in the NHS or other public healthcare related industry
• Strong leadership qualities, including the ability to inspire, motivate, and mentor a team of AI professionals
• Strong understanding of data privacy, security, and ethical considerations in AI. This is crucial for ensuring responsible AI development and deployment within a sensitive healthcare context

Desirable

• Knowledge of Health and Care technology landscape, in particular the systems and services delivered by NHS England
• Deep understanding of machine learning algorithms, techniques, and best practices within healthcare. This includes familiarity with a range of ML approaches (supervised/unsupervised learning, deep learning, etc.) and their applications in healthcare.
• Familiarity with cloud computing platforms (e.g., AWS, Azure, GCP) and MLOps tools. This should encompass experience with cloud-based ML services and tools for deploying, monitoring, and managing AI models in production.

Essential

• Strong external communications skills in a politically sensitive environment with knowledge of and experience in handling media relations.
• Ability to prepare and produce concise yet insightful communications for dissemination to senior stakeholders and a broad range of stakeholders as require
• Significant ability to analyse numerical and written data, assess options and draw appropriate initiatives
• Development of large architectures for highly complex and complicated systems

Desirable

• Proven record of successful delivery of technical architecture services in a large and complex organisation
• Proven record of managing relationship with large technology vendors and suppliers to ensure solutions and architectures align with the organisation goals and objectives.
• Development and management of technical governance processes relevant to the entire organisation