Head of Data - £90,000 - Hybrid

We are seeking an experienced and strategic Head of Data to lead our data strategy, governance, analytics, and data engineering functions. This role will define how data is collected, organized, activated, and leveraged across the organization to drive business value, operational excellence, and informed decision-making. You will own the vision for our data ecosystem and build the culture, processes, and technologies that support it. Key ResponsibilitiesData Strategy & Leadership

• Define and execute a company-wide data strategy aligned with business goals.
• Champion a data-driven culture, ensuring teams understand and use data effectively.
• Lead and mentor Data Engineering, Analytics, Data Science, and Data Governance teams.

Data Architecture & Engineering

• Oversee the development and maintenance of scalable data infrastructure, pipelines, and platforms (e.g., cloud data warehouses, streaming systems, ML platforms).
• Ensure data architecture supports performance, security, and cost efficiency.
• Evaluate and implement new technologies, tools, and best practices.

Analytics & Insights

• Deliver reliable and accurate analytics to support product, marketing, finance, and operations.
• Partner with business leaders to define KPIs, dashboards, and reporting frameworks.
• Support advanced analytics and machine learning initiatives.

Data Governance & Quality

• Establish data governance policies, ownership models, and data standards.
• Ensure compliance with regulatory requirements (e.g., GDPR, CCPA).
• Implement data quality programs, monitoring, and remediation processes.

Cross-Functional Collaboration

• Work closely with Product, Engineering, Finance, Operations, and Compliance to prioritize data initiatives.
• Communicate data strategy and insights to executive leadership and stakeholders.

• 8+ years of experience in data-focused roles, with at least 3-5 years of leadership experience.
• Strong background in data engineering, analytics, or data science.
• Proven experience scaling data teams and data platforms in high-growth environments.
• Deep understanding of cloud data technologies (AWS, GCP, or Azure), modern data stacks, and data governance frameworks.
• Ability to translate complex technical concepts into clear business terms.
• Excellent communication, stakeholder management, and leadership skills., * Python
• Azure AWS