Experience

Scope of responsibility, not a job history.

3×Faster Engineering DeliveryMcKenzie case study60%Lower Cloud CostsMcKenzie case study1→15Data & Analytics Team ScaledBuilder.ai case study75%Manual Reporting AutomationBuilder.ai case study

Scope of Responsibility

Accountability

  • Defined and executed a five-year technology and data roadmap
  • Partnered directly with the Board and investors to align technology strategy with growth and valuation
  • Owned delivery process and cloud architecture decisions end to end

Outcomes

  • 3×engineering delivery speed, through process optimisation and automation
  • 60%lower cloud infrastructure costs, while improving scalability and reliability
  • Boardgovernance and reporting framework used directly for board and investor updates
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Accountability

  • Owned investor-grade analytics and board-level dashboards covering ARR, MRR, churn, LTV and CAC
  • Led AI initiatives including an AI-powered chatbot ("Natasha") and a Neo4j knowledge graph migration
  • Architected cloud infrastructure (AWS/Azure) to support hyper-growth and global operations

Outcomes

  • 3 roundsof investor-grade analytics supporting Series B, C and D fundraising
  • 75%less manual finance and product reporting effort
  • 1→15Data & Analytics division scaled from a single hire
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Earlier career:Senior Data Engineer · Busuu·Data Engineer · BBOXX·Full-stack Software Engineer · Gameloft·Middleware & Cloud Technical Consultant · Oracle·Infrastructure Specialist · IBM·Electronics and Telecommunications Engineer · Renault

My First 90 Days as a CTO

How I operate when I take responsibility for a technology organisation.

Phase 1 of 3. Use left and right arrow keys to navigate between phases.Phase 2 of 3. Use left and right arrow keys to navigate between phases.Phase 3 of 3. Use left and right arrow keys to navigate between phases.
  • Map current architecture, data flows, and delivery bottlenecks.
  • Meet customers, GTM, and finance to understand value levers and pain points.
  • Establish basic visibility: ARR, churn, funnel, and platform health dashboards.
  • Define a technology and data roadmap tied to OKRs and commercial targets.
  • Set up a predictable delivery model: teams, rituals, metrics.
  • Prioritise quick wins: cloud cost cuts, key data fixes, or a focused AI feature.
  • Start delivering high-impact roadmap items.
  • Formalise data governance: access, quality, security, reporting.
  • Agree an ongoing cadence with leadership: monthly management reporting, quarterly roadmap review.

Contact

I read every message myself and usually reply within one business day.

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