Head of Data Governance and AI

- Own and lead the enterprise data governance and AI strategy, aligned to organisational priorities and transformation objectives. - Promote a data-driven culture, embedding the use of trusted data and AI insights across business processes. - Provide leadership to a federated, multi-disciplinary data community including governance, engineering, analytics, and AI specialists. - Define and operate enterprise data governance frameworks covering ownership, stewardship, quality, and lifecycle management. - Ensure data assets are managed securely, ethically, and in line with regulatory and business requirements. - Oversee data modelling and architectural standards to support consistency, scalability, and interoperability. - Lead the responsible adoption of AI and machine learning, embedding ethical principles, transparency, and control. - Enable advanced analytics and data science capabilities to support insight-led decision-making and innovation. - Guide the evaluation and adoption of emerging technologies, including GenAI, where they deliver measurable value. - Provide strategic oversight of enterprise data platforms, integration tooling, and data pipelines, including real-time processing. - Support the evolution of data fabric, metadata management, and integration platforms. - Ensure solutions meet performance, resilience, and security standards. - Manage risks associated with data usage, sharing, and AI deployment. - Ensure compliance with data protection, privacy, and relevant regulatory obligations. - Partner with security, risk, and legal teams to embed governance and controls by design. - Act as a senior advisor to executive stakeholders on data governance and AI matters. - Translate complex technical concepts into clear business outcomes. - Own resourcing, budgeting, and financial planning for the data governance and AI portfolio.