Nottingham, England, United Kingdom
I'm an Agile Delivery Manager, Scrum Master, and Coach with 10+ years of practitioner experience, currently working at the intersection of Agile delivery and emerging technology. I've coached Data Engineering teams at Jet2 and partnered with engineering on predictive AI initiatives at Microlise, designing telematics-driven solutions for fleet intelligence and vehicle health. I specialise in flow-based delivery, Monte Carlo forecasting, and metrics-driven coaching - with a consistent track record of measurable improvement across complex, technically sophisticated teams. I'm equally comfortable in the coaching room and the backlog. My background in software development gives me a genuine end-to-end understanding of how products are built and shipped, which means I can have credible conversations with engineers as well as executives. I'm looking for a delivery leadership role in a data or AI-driven environment, with a culture that takes continuous improvement seriously. Specialisms: Agile coaching & transformation, Scrum & Kanban, flow metrics, Monte Carlo forecasting, Data Engineering delivery, Product Ownership, facilitation, Lean thinking, stakeholder engagement.
Coaching a cross-functional team of 10, spanning feature development, platform engineering, and product ownership, on Nexor's flagship product. Reduced feature cycle time from historically over 20 days to under 5 days within weeks of joining, by establishing trust with the team quickly and introducing flow metrics and Monte Carlo simulation. Gave senior leadership their first clear, data-driven visibility into delivery progress. Platform cycle time improvement ongoing.
Coached two cross-functional teams of 12, embedding Agile practices and building the psychological safety needed for honest retrospectives and genuine continuous improvement - resulting in ~25% improvement in sprint predictability and ~15% reduction in cycle time. Introduced flow metrics and Monte Carlo forecasting, improving delivery predictability by ~30% and reducing missed deadlines by ~20%. Defined and prioritised a backlog of over 50 Fleet Intelligence features, aligning development with business value and contributing to a 10% increase in customer adoption. Partnered with engineering on predictive AI initiatives leveraging telematics data, designing solutions to improve vehicle health insights and reduce fleet downtime. Role ended due to redundancy in December 2025.
Coached five Data Engineering teams of 60 members, improving Agile adoption and delivery predictability across a technically complex, high-dependency environment. Built trust across teams and with leadership, enabling more honest conversations about blockers and systemic issues - increasing sprint success rates by ~20% and reducing cycle time by ~15%. Mentored Product Owners to improve backlog quality and prioritisation, resulting in ~30% improvement in feature readiness. Strengthened cross-team collaboration and removed dependency-related delays by ~25%, accelerating delivery of key data products used across the business.
Delivered Agile coaching and transformation services across energy, utilities, finance, rail, and e-commerce sectors, consistently improving delivery predictability and helping teams work in ways that made sense to them - not just ways that looked good on a dashboard. Facilitated story mapping, backlog development, and leadership coaching to strengthen alignment and accelerate value delivery. Key engagements: Hitachi: Turned around a failing project within 8 sprints, reducing time-to-market by ~30%. Centrica: Improved Agile adoption and reporting for senior leadership, increasing transparency and decision-making speed by ~25%. Yorkshire Water: Supported SAFe PI Planning readiness and built an Agile Community of Practice that grew to 50+ members. ClearBank: Coached two platform security teams and their management, improving Agile ways of working and leadership alignment across a secure access and permissions infrastructure programme.
Started as a Senior Developer on clinical trial data capture solutions before transitioning into a Scrum Master role - a move that reflected a growing conviction that how teams work matters as much as what they build. Improved Scrum practices and transparency across engineering and product teams, achieving a ~20% reduction in cycle time and ~15% improvement in sprint success rates. Introduced backlog refinement and stakeholder engagement practices that reduced rework by ~10% and enabled faster, more confident decision-making.