VP Enterprise Data

This is a rare opportunity to shape and lead an enterprise-wide data, architecture, and AI strategy within a growing, data-driven organisation. Sitting at executive leadership level, you will drive the development of scalable data capabilities, modern technology architecture, and AI adoption programmes that directly influence business performance and decision-making. The Company They are a well-established organisation that places data at the centre of business strategy and operational excellence. With continued investment in technology, analytics, and AI, they are focused on building a scalable and future-ready data ecosystem. The business offers a collaborative environment where senior leaders work closely together to drive innovation, efficiency, and growth. This role has significant visibility and influence across the organisation. The Role

• Lead the enterprise data, analytics, systems architecture, AI enablement, and core IT functions.
• Define and execute the enterprise data strategy to improve data accessibility, quality, governance, and business value.
• Build and develop high-performing multidisciplinary teams across data engineering, analytics, architecture, and technology.
• Own the enterprise data platform and architecture roadmap, ensuring scalability, reliability, and cost efficiency.
• Establish data governance frameworks, standards, and best practices across the organisation.
• Partner with executive stakeholders to align data and technology initiatives with strategic business objectives.
• Drive enterprise AI adoption, governance, and capability development, ensuring measurable business impact.
• Lead decisions around technology investments, vendor management, and build versus buy strategies.
• Deliver reporting and analytics capabilities that support faster and more effective business decision-making.
• Ensure seamless integration across enterprise systems, platforms, and business functions.

• Strong leadership experience across enterprise data, analytics, architecture, and technology functions.
• Proven ability to develop and execute large-scale data and digital transformation strategies.
• Experience leading cloud-based data platforms and modern data architectures.
• Deep understanding of data governance, data quality, and enterprise-wide analytics.
• Strong knowledge of AI adoption, enablement, governance, and operationalisation within a business environment.
• Ability to influence and engage executive stakeholders, translating technical strategy into commercial outcomes.
• Experience building, scaling, and leading high-performing technical teams.
• Strong commercial awareness with the ability to prioritise initiatives based on business value and ROI.
• Broad technical expertise across data engineering, enterprise architecture, systems integration, and IT operations.

• Competitive executive-level salary and comprehensive benefits package.
• Opportunity to shape the future of enterprise data, architecture, and AI at a strategic level.
• High visibility with senior leadership and direct impact on business performance.
• A collaborative and forward-thinking culture with continued investment in technology and innovation.
• Clear scope to build teams, influence strategy, and deliver transformational change.
• Hybrid working arrangement with regular collaboration in the London office.