> Markdown version of [/jobs/ext/3645041-vp-of-data](https://www.wearedevelopers.com/jobs/ext/3645041-vp-of-data). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # VP of Data - **Company:** Harnham - **Location:** London, UK - **Salary:** £150,000.0 - £180,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Analysis, Information Engineering, Data Governance, Cloud Services, Enterprise Data Management, Data Strategy, Data Analytics - **Published:** October 9, 2026 - **Apply:** https://www.reed.co.uk/jobs/vp-of-data/57438322 ## About the Role * Proven leadership experience across enterprise data, analytics, architecture, and technology functions * Strong background in cloud data platforms and modern data ecosystems * Experience shaping and delivering enterprise-wide data strategies * Demonstrated success leading business transformation through data and AI * Deep understanding of data governance, data quality, and enterprise architecture * Ability to operate credibly with executive and board-level stakeholders * Strong commercial acumen with a focus on delivering measurable business outcomes * Experience building and leading multidisciplinary teams across data and technology ## Description You will lead the enterprise data, analytics, architecture, AI, and core technology functions, ensuring data and systems provide measurable value across the business., * Defining and delivering the enterprise data and technology strategy * Leading data engineering, analytics, enterprise systems architecture, and IT teams * Driving organisation-wide AI adoption, governance, and enablement initiatives * Establishing data governance frameworks, standards, and best practice * Owning enterprise data platforms, architecture decisions, vendor relationships, and technology roadmaps * Building scalable reporting and analytics capabilities to support executive decision-making * Partnering with senior stakeholders to align data and AI initiatives with business objectives * Leading high-performing teams and fostering a culture of innovation, accountability, and continuous improvement * Overseeing technology investments and ensuring clear business value and ROI