Build stronger technology organisations.

I build enduring technology capability across AI, cloud and engineering delivery through clear direction, dependable platforms and enabled teams.

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For permanent technology leadership roles

Vincent Martens smiling
Role direction
CTO, Head of Technology and engineering leadership
Leadership remit
Capability development, internal platforms and technical quality
Technology experience
Building cloud, AI and delivery capability since 2014

Leadership scope,
made legible.

Technology capability is the connective work between a strategic decision and the teams that have to make it real.

I work where platforms, standards, people and delivery practice have to operate as one system.

Technology Strategy & Capability Building

Translate complex technology choices into operating models, standards and decision-making that scale.

AI Delivery Capability

Move GenAI from isolated experimentation to secure, useful and governable delivery capability.

Cloud Platforms & Delivery Excellence

Modernise platforms and release systems so teams deliver with speed, reliability and clear ownership.

Leadership & Enablement

Build the skills, confidence and technical context that help engineers and leaders make stronger decisions.

Selected evidence.

Selected examples of accountable technology leadership in complex delivery environments.

Regulated financial services

Technical Delivery Lead for regulated cloud modernisation

Situation
An established GCP landscape needed more reliable releases, clearer ownership and shared platform standards.
Target state
A repeatable delivery model with accountable ownership, stronger IAM and safe AI-assisted engineering.
Contribution
Led technical priorities across release management, shared pipelines, platform standards and engineering enablement.
Outcome
A clearer path to reliable releases, better traceability and delivery practices suited to a regulated environment.

Enterprise software development

AI engineering enablement programme

Situation
Engineering teams needed practical guidance to adopt coding assistants without sacrificing quality, security or compliance.
Target state
A shared, production-minded approach to AI-assisted software delivery.
Contribution
Created a full-day engineering enablement format for engineers, architects and engineering managers covering workflow, governance and human control.
Outcome
A common, production-minded foundation for evaluating, adopting and scaling AI-assisted delivery responsibly.

Internal technology leadership

Technology capability and internal platform leadership

Situation
Cloud, SaaS, enablement and technical standards needed coordinated ownership as the organisation grew.
Target state
A technology capability system connecting platforms, people, quality and commercial readiness.
Contribution
Accountable for internal platform decisions, capability development, training and technical quality assurance.
Outcome
More consistent technical decisions, clearer development paths and stronger delivery readiness across teams.

Technical depth only matters when it scales through people.

My leadership work leaves behind clearer decisions, practical standards and teams with more confidence to use both.

  • Technology capability development, skill matrices and technology talent growth

  • Multi-cloud and SaaS platform governance across internal platforms and collaboration tooling

  • Architecture reviews, solution shaping and executive decision support

  • Workshops, trainings and talks on Kubernetes, cloud, GenAI and AI-assisted software delivery

Where I add the most value.

I translate business goals into technology direction, operating models and delivery practice that teams can own.

  • Business goals translated into technical direction and delivery
  • AI delivery readiness and governance
  • Cloud and platform modernisation
  • Engineering excellence and delivery quality
  • Technology roadmaps and architecture governance
  • Capability building, skill models and technical enablement