Stephen Matthews

Background

About Stephen Matthews

Hi, I'm Stephen I build data platforms that make health information accessible, reliable, and ready for AI.Over 8+ years in fast-growing, venture-backed environments — including health-tech — I've led work to transform fragmented, unstructured data into foundations that teams and systems can actually trust. This means scalable pipelines, clear data models, strong governance, and the operational practices that keep everything dependable as products scale.My recent focus is on "AI readiness" in the health context: ensuring data is standardised, auditable, and fit for purpose — whether it's powering real-time analytics, enabling retrieval systems, or feeding AI applications that need to reason over complex, longitudinal information.I'm particularly interested in the interoperability challenges of health data: how to securely unify information from disparate sources (like labs, wearables, and clinical records), track meaningful changes over time, and make it genuinely useful for the people and systems that need it. This is a space where good data engineering isn't just a technical nicety — it's the difference between insights that help and noise that doesn't.My work typically sits at the intersection of:* Business outcomes (growth, efficiency, prioritisation)* Data engineering (pipelines, warehouses, models, interoperability)* Operational reliability (quality, privacy, observability)I'm comfortable owning problems end-to-end — from clarifying what actually matters, to designing foundations, to shipping systems people rely on.