VP of Enterprise Data - #2193724

VP OF ENTERPRISE DATA

LONDON/HYBRID

UP TO £200,000

This is a rare opportunity to join a business that has already invested heavily in its data, technology, and AI foundations. Rather than building from scratch, you'll focus on unlocking value, driving adoption, and creating a single vision across data, technology, architecture, and business systems. This role offers significant visibility, executive influence, and the opportunity to shape how data and AI drive business growth.

ROLES AND RESPONSIBILITIES:

The VP of Enterprise Data will:

• 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

YOUR SKILLS AND EXPERIENCE:

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

APPLY BELOW!