Head of Data
Hybrid, Bucks
Salary: 80K - 100K (full-time or part-time)
About the Role:
A fast-growing, data-led technology company is seeking a Head of Data to lead its strategic data vision and execution. This role is your chance to take full ownership of how data is used, built, and turned into real commercial value across the business. From data warehousing and analytics to AI and automation, this role gives you the space to build the systems and team that turn raw data into results.
You’ll join a high-performing, agile organisation with a leadership team driven by a bold growth agenda. The company operates in a complex, real-world domain with tangible impact and high-volume data. At the heart of this is the opportunity to shape a business that’s actively disrupting its sector - through smart technology, AI, and data-led decision-making.
Responsibilities:
* Own and evolve the data strategy, combining hands-on technical delivery (60%) with strategic vision (40%)
* Lead and grow a multi-disciplinary team including BI analysts, data scientists, and AI developers
* Shape data infrastructure and analytics capabilities from warehousing to visualisation (Power BI, Tableau, etc.)
* Develop and deploy ML and AI solutions across key business areas (including Generative AI and Computer Vision)
* Build frameworks for data governance, security, quality, compliance (GDPR, ICO, DVLA, BPA)
* Collaborate cross-functionally with Product, Engineering, Ops, Finance, and C-suite stakeholders
* Identify monetisation opportunities and unlock new commercial value from data
* Promote a data-first culture across the business
Requirements:
* 5+ years of experience in data leadership roles
* Strong technical expertise in RDBMS (3rd–4th normal form), NoSQL, cloud platforms (AWS/Azure), and tools like Databricks or Microsoft Fabric
* Experience managing and growing high-performing data teams
* Clear commercial understanding of data as a product
* Ability to simplify complexity and communicate effectively at all levels
* Proven delivery of data platforms, pipelines, models and visual insights
* Passion for AI, automation, and forward-looking innovation