VP of Enterprise Data

• Define and deliver the enterprise-wide data, AI, and technology strategy
• Lead teams across data engineering, analytics, architecture, IT, and business systems
• Create a unified vision across technical and commercial stakeholders
• Drive enterprise AI adoption, governance, and enablement initiatives
• Establish a true 360-degree customer view across the organisation
• Own data governance, reporting, analytics, and enterprise architecture standards
• Use customer, product, and commercial data to improve business performance and decision-making
• Identify high-impact opportunities to drive revenue growth and operational efficiency
• Build strong relationships with executive stakeholders and business leaders
• Create a culture of accountability, collaboration, and continuous improvement
• Make key decisions across technology, systems, and data investments

The ideal candidate will have the following skills and experience:

• Strong leadership experience across data, analytics, engineering, architecture, technology, or enterprise systems functions
• A hands-on approach with the ability to challenge assumptions and engage in technical discussions when needed
• Experience leading large, cross-functional teams within fast-paced, evolving environments
• Strong commercial acumen and the ability to link technology initiatives to measurable business outcomes
• Experience delivering data, digital, or technology transformation programmes
• A track record of influencing senior stakeholders and driving organisational change
• Strong understanding of data governance, analytics, data platforms, and enterprise architecture
• Experience aligning technical and non-technical teams around a shared strategy
• Confidence making decisions, prioritising initiatives, and driving execution
• Exposure to AI adoption, AI-enabled products, or AI-driven decision making would be highly beneficial
• Experience within high-growth, scale-up, or digitally focused businesses would be advantageous