> Markdown version of [/jobs/ext/4699370-head-of-data](https://www.wearedevelopers.com/jobs/ext/4699370-head-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). --- # Head of Data - **Company:** embs - **Location:** United Kingdom (Remote available) - **Experience:** Expert - **Salary:** £100,000 - £150,000 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Infrastructure, Python (Programming Language), Machine Learning, Standard Sql, Data Strategy - **Published:** November 13, 2026 - **Apply:** https://www.cv-library.co.uk/job/225830860/head-of-data ## About the Role You'll have led a data function or significant data capability in a digital, product-led environment, with a track record of improving commercial outcomes. We're looking for a strong mix of: * Commercial and product thinking, with the ability to start from the business problem. * Strong SQL, analytical skills and practical understanding of modern data platforms. * Data modelling, analytics engineering, BI and trusted reporting. * Leadership and development of data professionals, alongside hands-on problem solving. * Confident stakeholder engagement across senior commercial, product and technology teams. Experience in insurance, fintech, ecommerce or another high-volume consumer business would be useful, as would digital attribution, LTV/churn modelling, Python and applied AI or machine learning. ## Description * Own the data strategy, with clear links to revenue, margin, acquisition, conversion and retention. * Lead, coach and develop a small data team while remaining close to delivery. * Improve data quality, accessibility, modelling and business intelligence across the organisation. * Help teams understand customer economics, lifetime value, profitability and marketing effectiveness. * Partner with Product, Marketing and Pricing to turn insight into practical commercial decisions. * Build data products and faster feedback loops for experimentation and continuous improvement. * Explore practical uses of AI and agents in analysis, insight and decision-making.