Building products that simplify complexity,
scale globally & deliver measurable commercial impact
AI Product Leader with 10+ years building and scaling intelligent commerce, enterprise, and data-driven platforms across Manufacturing, Telecom, and Retail. I don't just manage AI products — I build them. From shipping production LLM + RAG assistants at Caterpillar to independently prototyping agentic commerce tools, procurement intelligence platforms, and crisis analytics systems, I combine end-to-end PM rigour with hands-on builder instincts. Proven track record of translating AI/ML capabilities into measurable commercial outcomes: 25% mobile revenue uplift, 20% AI-led add-to-cart growth, 25% conversion improvement. Equally comfortable setting product vision with C-suite as writing acceptance criteria with engineers.
How I think about product, commerce, and the impact that great digital experiences can have at scale.
Build digital products that customers trust and businesses rely on — products that simplify complexity, scale globally, and deliver measurable commercial impact.
Help large enterprises turn strategy into execution — owning end-to-end customer journeys, using data to guide decisions, and leading cross-functional teams through complex delivery with clarity and pace.
Every product decision deserves evidence. I use ContentSquare, SQL, GA, and user research to build business cases from facts — not assumptions. When data contradicts the loudest voice in the room, data wins.
The best conversion optimisation isn't a CTA button colour — it's removing the friction that stops a customer trusting you. Clarity, confidence, and certainty beat persuasion every time.
AI in commerce is only as good as the data it's grounded in. RAG architectures, domain guardrails, and role-based access aren't nice-to-haves — they're what separates a production AI system from a liability.
Moving to headless means nothing unless team culture, agile model, and product thinking move with it. Platform modernisation and product maturity must scale together.
The real complexity in enterprise eCommerce isn't the storefront — it's orchestrating 50 systems, 40 markets, 90 stakeholders, and a live trading platform simultaneously without dropping anything.
Autonomous AI agents making real-time merchandising decisions, optimising the digital shelf continuously — this isn't the future. I've shipped it in production.
A decade of building at the intersection of enterprise commerce, platform modernisation, and AI-driven product.
Owned strategy, OKRs, roadmap, and execution for Caterpillar's global parts eCommerce platform across PDP, Cart, Checkout, and Personalisation. Led migration to headless commerce (Spartacus / SAP Commerce) and initiated AI capability across Cat AI Assistants (LLM + RAG + Helios) and AI-driven merchandising optimisation using CatBoost and affinity analysis.
Single decision-owner for Ericsson Core Commerce — CPQ and Quote-to-Order platform across B2B, B2C, and B2B2X. Redesigned CPQ flows, drove automation reducing PO booking from weeks to seconds, and established agile product governance across distributed global teams across NA, Europe, APAC, and LATAM.
Owned end-to-end product lifecycle for distributor management and commerce features across 5 international market expansions. Led regulatory compliance, localisation strategy, and cross-functional delivery with legal, compliance, and regional business teams under strict life sciences standards.
Led SAP Hybris B2B eCommerce implementations owning requirements, user stories, and acceptance criteria. Built operational dashboards using Elasticsearch and Kibana. Partnered with stakeholders and UX teams on solution design, wireframes, and prototyping across multiple client engagements.
Selected case studies, live prototypes, and strategic product work spanning AI commerce, sustainability intelligence, and global crisis platforms.
A full-stack AI-powered procurement and sustainability platform designed for UK infrastructure projects — HS2 Euston Station, Hinkley Point C, Manchester Airport Terminal 2, and Battersea Power Station. FORGE unifies supplier intelligence, live reverse auctions, Scope 3 carbon tracking, and AI-driven purchasing recommendations into a single operational command centre. Built to answer the core question: how do you procure at scale while hitting 2030 carbon reduction targets?
Quotra is an AI-powered Configure-Price-Quote (CPQ) platform that generates accurate, compliant quotes in 30 seconds—not 2–4 hours. Built for mid-market B2B companies ($5M–$500M ARR) that can't afford enterprise CPQ ($1M+) but can't survive without it.
A global crisis intelligence platform mapping the cascade relationships between the world's five most critical challenges — Climate Collapse, Food & Water Security, Mental Health, AI Inequality, and Healthcare Access — using peer-reviewed research coefficients, real World Bank API data, and predictive modelling. Built for UN panels, Davos, and institutional investors who need to understand systemic risk before it becomes irreversible.
Caterpillar's industrial conversational AI — built on large language models with a Retrieval-Augmented Generation architecture connected to the Helios data platform. Natural language parts discovery across hundreds of thousands of SKUs, with domain-specific guardrails, role-based access controls, and full audit logging. Alongside it: an autonomous AI merchandising agent to continuously rank and surface the right products based on revenue per impression, availability, and affinity data.
End-to-end redesign of Ericsson's CPQ and Quote-to-Order platform supporting complex telecom configurations, enterprise contracts, and partner-led sales. Automation reduced purchase order booking from weeks to seconds — a step-change in speed-to-business for enterprise customers. Delivered 50+ features as single PM decision-owner across a globally distributed team.
A decade of hands-on delivery across product strategy, commerce technology, AI, and global team leadership.
Thoughts on agentic commerce, AI product strategy, headless architecture, and the future of digital experience.
The AI merchandising layer I built at Caterpillar was autonomously making real-time decisions about what to surface to which buyer. That's not a feature — that's an agent. Here's what I learned shipping it.
After leading Caterpillar's migration to headless commerce, the thing that nearly derailed it wasn't technical complexity — it was the team's mental model of how product delivery works.
The Cat AI Assistant only works because it refuses to guess. Every answer comes from retrieved, verified Helios data. This is the pattern every enterprise AI product should follow — and almost none do.
A 25% conversion uplift doesn't come from a new feature — it comes from removing what was stopping the customer trusting you. A data-driven breakdown of what actually moved the needle.
Climate → Food → Mental Health. The cascade is real, measurable, and backed by peer-reviewed coefficients. NEXUS started as a thought experiment and became a Davos-ready evidence platform.
A Caterpillar dealer buying £20K of parts online and a Sotheby's customer buying a £15K watch have more in common than you'd think. The psychology of high-value purchase confidence is universal.
I'm actively exploring AI PM & Lead PM roles in London — with a focus on eCommerce, AI-driven commerce, and digital platform transformation. Open to advisory conversations, collaborations, and product leadership discussions.