Head of Data at ENSEK — twenty years turning data from a back-office cost centre into a product that drives revenue and margin.
A data and AI leader who believes data earns its place commercially or not at all. Over twenty years turning data from a back-office cost centre into a product that drives revenue and margin — a pragmatist on production AI, backing what ships over what stays in the lab, while treating AI as essential to everyday productivity. Built a data function into a highly automated, product-led operation, where a team of just over fifty serves more than a thousand users at British Gas alone. Deep expertise in energy retail and financial data, as strong on delivery as on strategy.
Strategy and roadmap authorship, data function build and scaling, operating model design, data as a commercial product.
Production ML/MLOps, LLM and generative AI applications, model governance and evaluation, responsible AI.
Lakehouse and lakebase design, Unity Catalog, data product and semantic layer design, multi-region architecture.
Databricks, AWS, containerisation and orchestration, infrastructure as code, pipeline orchestration.
Data governance and classification, UK GDPR, data quality, agile delivery, commercial and vendor management.
A governed, contract-based data product generating £7.9m/yr in recurring revenue, cutting client time-to-value by around 60%.
Hundreds of billions of records reconciled daily to 99.9999999999% accuracy, against a strict same-day deadline — a standalone product generating millions in ARR.
Built and governed an AI/ML platform end-to-end — including an AI tool forecast to handle millions of interactions a month.
Placeholder — swap in real quotes once you have some.
“[Placeholder quote about working with Adam.]”
[Name], [Role, Company]
“[Placeholder quote about working with Adam.]”
[Name], [Role, Company]