Head of Data and Analytics

Head of Data & Analytics (reporting to CIO) required to lead an established Analytics function.

We are looking for an experienced Data and AI leader who can help accelerate a data-driven culture and spearhead the responsible adoption of approved Large Language Models (LLMs) across the organization. This is a highly influential role requiring strategic partnership with leaders across this FTSE250 company to drive digital transformation through data and AI innovation.

This role is based in Newcastle and there is a requirement to be in the office at least 2 days a week with occasional travel to other sites within the UK.

Key Responsibilities

• Platform Ownership and Development
• AI Strategy & Implementation
• Platform Delivery
• Platform Development
• Platform Governance
• Leadership

Essential Experience & Skills required:

• At least five years experience of Team Management in a Data analytics environment
• Six or more years of relevant experience in a business analyst, data analyst, or statistical analysis role
• Experience with SQL scripting, data warehousing, statistical analysis tools, Microsoft Excel, and data visualization tools such as Tableau and Amazon QuickSight; experience extracting and processing data using SQL and Excel
• Educated to degree level or equivalent in Statistics, Computer Science or Mathematics
• Proven experience of successfully managing a data analytics function
• Track record of successfully translating advanced analytics capabilities into measurable business outcomes
• Demonstrated ability to communicate complex AI concepts to non-technical stakeholders
• Experience with the Azure data platform.
• Data Architecting to create Entity, Logical, Physical Data Models
• Data Dictionary (Common Business Language) for ultimate use in new systems design
• Experience in scripting languages (Python) for parsing and data analysis
• Experience with one or more of the statistical modelling languages/ toolboxes (R, SAS)
• Data Mapping & Migration, tools & techniques, ETL and Normalisation
• Data Cleanse/Quality- Base lining, measurement, and improvement
• Experience scaling and optimizing mature data platforms and driving enterprise-wide adoption
• Knowledge of AI/ML implementation strategies and practical applications in business contexts
• Experience with Generative AI technologies, LLMs, and their enterprise implementation
• Experience developing AI-powered solutions that enhance business intelligence capabilities

If you feel you have what is required for this role then we would love to hear from you.