Twenty years turning data from a back-office cost centre into a product that drives revenue and margin.
See the work →A data and AI leader who believes data earns its place commercially or not at all — 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 across its largest single client alone. Deep expertise in energy retail and financial data, as strong on delivery as on strategy.
Hiring, performance, and career development — building and growing a 50+ person function from a standing start.
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.
Most teams sit lower on the maturity scale than they'd guess, and most of the climb is a decision rather than a rebuild.
Five sliders and a live radar chart, to see where your team sits today.
Moving from multi-day batch runs to a four-hour pipeline, and from “good enough” to twelve-nines accuracy.
“I was consistently impressed by his technical leadership, professionalism and genuine commitment to delivering the right outcome for his customers. … It’s rare to find someone who combines strong technical leadership with such a genuine customer focus.”
Emma McAuley, Director of Data Platforms and Engineering
Client
“He’s the clearest example I know of a genuine technical leader – somebody with enough depth to make the hard calls himself, and enough perspective to know which calls actually matter. … He sets a technical direction his engineers believe in, because he’s earned the right to set it …”
Matthew Lafferty, Product & Data Driven Engineering Leader
Worked with Adam on the same team
“Whilst technically knowledgeable, Adam also demonstrates strong financial knowledge & understanding of how customers use ENSEK data. … Without Adam’s contributions I am certain that several high profile migrations would not have been possible …”
Richard Freeman, Head of Professional Services at ENSEK
Worked with Adam on a different team
“He’s a great mentor and always has time for me. … He can lead a team and define data strategies that make sense. He can write quality code and contribute to a project success.”
Paul Felgate, Data Platform Architect at ENSEK
Adam’s direct report
“He was an important mentor to me, helping shape much of my knowledge of data platforms and modern data practices. Adam brings a rare combination of deep technical expertise and genuine curiosity about new technologies like AI — dependable, professional, and genuinely enjoyable to work with.”
Luke Everington, Solutions Architect at QLFY Ltd
Adam's former direct report
Even outside data and energy — a former team member, Jonny Betts, went on to a PhD applying machine learning to cosmology, and credited Adam by name in his published research for his feedback along the way.
Jonny Betts, PhD researcher
Formerly on Adam's team · read the paper →