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# VP Enterprise Data

- **Company:** Harnham
- **Location:** London, UK
- **Salary:** £150,000.0 - £180,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Analysis, Big Data, Data Architecture, Information Engineering, Data Governance, Information Technology Operations, Systems Architecture, Systems Integration, Enterprise Data Management, Cloud Platform System, Data Strategy, Data Analytics, Data Management
- **Published:** October 10, 2026
- **Apply:** https://www.reed.co.uk/jobs/vp-enterprise-data/57442875

## About the Role

* 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.

## Description

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.