Engineering Leader driving scalable systems, high-performing teams, and AI-enabled organizations
Aligning technology, business, and logistics at scale — from engineering delivery to strategic impact across global, distributed teams.
About
From Scrum Master to Engineering Leader
I started my career on the ground level — as a Scrum Master — and built my way up through Agile Coaching to Senior Engineering Management. This path gave me a rare combination: deep delivery expertise and the business acumen to connect engineering decisions to strategic outcomes.
Currently leading engineering in a global retail and logistics environment, I manage distributed, cross-functional teams across complex supply chain technology. I combine a hands-on leadership style with organisational design thinking — focused on building cultures that ship with confidence.
An Executive MBA reinforces my approach: I operate at the intersection of technology and business strategy, ensuring engineering output drives measurable commercial value. My next step is a Head of Engineering role in an AI-driven, global organisation.
Leadership Approach
How I lead engineering organizations
My leadership model is built on four pillars that scale from team-level delivery to organisational transformation.
High-Performing Teams
Recruiting, retaining, and developing engineers who take ownership. Building psychological safety alongside high expectations — the foundation of sustainable delivery.
Organisational Design
Structuring teams around value streams, not function. Eliminating handoff friction and designing for autonomy at scale — inspired by Team Topologies principles.
Continuous Improvement
Embedding Agile beyond ceremonies — into how teams learn, adapt, and raise their bar continuously. Flow metrics, retrospectives, and engineering excellence as culture.
Business Impact
Translating engineering decisions into business outcomes. Stakeholder alignment, clear roadmaps, and making the value of technical investment legible to the board.
AI & Innovation
AI as an engineering multiplier
I believe the next generation of engineering leaders will be defined by how effectively they embed AI into their teams and processes — not just their products.
AI-Enhanced Delivery
Leveraging AI coding assistants, automated code review, and intelligent testing pipelines to increase engineering throughput without sacrificing quality. Teams that ship faster with more confidence.
Data-Driven Decisions
Using AI and BI automation to forecast delivery risk, identify bottlenecks before they become blockers, and surface insights that drive better planning at every level of the organisation.
AI-Native Organisation
Building engineering cultures where AI literacy is standard. Creating frameworks for responsible adoption — ensuring teams understand not just the tools, but the strategic implications of AI at scale.
Experience
Where I've delivered impact
Highlights from my engineering leadership journey, focused on outcomes over titles.
- Scaled engineering organisation across 3 countries, establishing shared practices and team charters
- Reduced deployment cycle time by introducing trunk-based development and feature flag infrastructure
- Implemented BI dashboards and AI-assisted forecasting to improve sprint predictability by over 30%
- Led organisational redesign of two major product areas, aligning team topology to business domains
- Coached 8+ engineering teams through Agile transformation, improving delivery confidence and team morale
- Designed and facilitated quarterly planning (PI Planning) for programmes of 60+ engineers
- Established engineering metrics programme — lead time, deployment frequency, change failure rate
- Served as Scrum Master across 4 product teams simultaneously, maintaining high velocity and quality standards
- Built internal Agile competency training programme adopted across the organisation
Skills
Areas of expertise
Leadership
Delivery & Agile
AI & Data
Strategy
Contact
Let's build something great
I'm open to senior engineering leadership opportunities — Head of Engineering, VP Engineering, or equivalent roles — in organisations where technology and AI are central to the strategy.