Dave Manton
Head of Architecture @Victorian Plumbing
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WORK HISTORY
Head of Architecture @Victorian Plumbing
Manchester, GB
Leading technology strategy and engineering direction for a 90+ person technology organisation, partnering with the CTO and C-suite to drive platform evolution - combining long-term architectural vision with a product engineering culture and an active push towards AI-ready software- Driving the shift to an AI-first engineering culture, embedding AI across the full delivery lifecycle - from spec generation and code authoring through to test planning and implementation, PR creation and documentation- Designing an agentic AI shopping companion with real action capabilities - searching, adding to basket, tracking orders and maintaining session memory - going beyond typical chat-only experiences- Architecting a first-party server-side analytics platform processing 15–20 million events per day across millions of sessions per year, powering business insight, A/B testing and product recommendations- Leading the conversion of the entire e-commerce platform from single to multi-tenant in six months, enabling the launch of MFI.co.uk and future brand expansion with minimal engineering overhead- Maintaining 99.9%+ platform availability with just six minutes of unscheduled downtime over three years
EDUCATION
The Manchester Metropolitan University
Master of Science (MSc), Computing
The University of Nottingham
BA(Hons), Philosophy and Theology
The University of Manchester
Post Graduate Certificate in Education, Teaching Qualification
SKILLS
ABOUT DAVE MANTON
I lead engineering teams and build platforms that support real business growth. Over seven years in high-growth e-commerce I\'ve scaled an engineering function from the ground up to 90+ people, and led the digital transformation that\'s enabled genuinely new capabilities — from AI-powered search and agentic shopping experiences, to analytics infrastructure and high-performance platform architecture. More recently my focus has been on how teams themselves work: embedding AI across the full delivery lifecycle to build engineering capability that scales beyond headcount.
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