Overview
The UK Hydrographic Office is seeking a senior leader to establish and lead its Artificial Intelligence and Enterprise Data capability. Head of Artificial Intelligence and Enterprise Data Capability role is responsible for defining and delivering the organisation’s enterprise data and AI strategy, ensuring that data is governed, secure and fit for purpose, and that AI, automation and advanced analytics are adopted responsibly and effectively across the organisation.
The role is strategically important in ensuring UKHO can rely on high‑quality data and scalable AI capabilities to support safe maritime operations, regulatory compliance and long‑term commercial performance.
You will act as a head of profession for UKHO, provide leadership to multidisciplinary teams, and work closely with senior stakeholders to translate strategic intent into sustainable data platforms, clear governance and measurable business outcomes.
This job role can be worked on a hybrid basis, which is an informal, non-contractual and voluntary arrangement, working between the office in Taunton and remotely within the UK. However, as this is a leadership role, it is expected that the successful candidate will attend our offices at least 60% of their working time.
Additional information
Additional information
This role might be considered on a part-time basis of 4 days a week.
Responsibilities
* The role holder will be part of the Technology SLT and will provide empowering and inspiring leadership across the division. They will be a line manager with direct and indirect reports and will provide leadership for AI and enterprise data capability strategies.
* Define, deliver and operationalise and translate corporate strategy into an actionable enterprise data & AI roadmap, aligned to UKHO’s strategies.
* Act as the head of the profession for enterprise data and AI related roles within the Government Digital and Data profession, providing leadership for data skills, capability development and professional standards.
* Will develop and own the AI strategy, ensuring alignment with business priorities, oversee the development, deployment, scaling of AI solutions, embedding an MLOps discipline.
* Implement and assure effective governance including standards, stewardship models, data quality controls, including compliance monitoring.
* Guide the development and evolution of enterprise data and AI platforms, including cloud alignment and integration standards.
* Work collaboratively with internal and external stakeholders to identify, prioritise and realise value through AI and data causes.
* Build, manage, coach and develop high performing multidisciplinary data & AI teams, and develop a clear and effective operating model
How to apply
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