Experience

Scope of responsibility, not a job history.

Faster Engineering Delivery
60%Lower Cloud Costs
1→15Data & Analytics Team Scaled
75%Manual Reporting Automation
Series B–DFundraising Supported (data rooms, board dashboards)

Scope of Responsibility

Chief Technology Officer · McKenzie Intelligence Services

Company stageB2B geospatial intelligence SaaS, serving governments, insurers and financial institutions · 2023–2026
ScopeEngineering · Data
OrganisationUp to 8 professionals across Engineering and Data
Executive scopeTechnology Strategy · Engineering · Data · Cloud Architecture · Board & Investor Reporting
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× increase in engineering delivery speed through process optimisation and automation
  • 60% reduction in cloud infrastructure costs while improving scalability and reliability
  • Governance and reporting framework used directly for board and investor updates

Read the full case study →

Director of Data · Builder.ai

Company stageVC-backed hyper-growth AI SaaS, Series B to D · 2019–2022
ScopeData & Analytics · Engineering · BI · Data Science
OrganisationBuilt and led the Data & Analytics division from 1 to 15 professionals
Executive scopeData & Analytics Strategy · Engineering · AI · Cloud Architecture · Board & Investor Reporting
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
  • Delivered the investor-grade analytics that directly supported Series B, C and D fundraising rounds
  • 75% reduction in manual finance and product reporting effort
  • Data & Analytics division scaled from a single hire to fifteen

Read the full case study →

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.