Target roles
CDO, CDAO, Chief Data and AI Officer, EVP or SVP Data and AI, and senior Data, AI and Transformation leadership with genuine authority.
Title-agnostic, screened on remit and economics.Senior Data & AI Executive / CDO · CDAO · Chief Data & AI Officer / EVP · SVP Data & AI
A senior Data and AI leader your most demanding searches can be built around.
I lead enterprise Data, AI, engineering and transformation at scale, with the commercial and operating-model depth needed for CDO, CDAO and EVP-level searches. Currently EVP, Data Democratisation at Virgin Media O2, and exploring a selective next executive step. Any conversations are handled in confidence.
Track record: Virgin Media O2, Salesforce and MuleSoft, 25+ years
engineering to executive.
Public proof: Tableau, Google Cloud Next, Interface Magazine, British
Data Awards 2026 winner.
Open to: permanent UK leadership roles, hybrid or remote. Legally able to
work in the UK and Mexico.
Watch the 3-minute story
EVP, Data Democratisation
Enterprise Data & AI Transformation Remit at VMO2
Enterprise Data & AI Transformation Remit at VMO2
Searches I am built for
Chief Data & AI leadership
CDO, CDAO, Chief Data and AI Officer. Enterprise-wide remit over data, AI, governance,
platform and commercial value.
EVP / SVP / VP Data, AI & Transformation
Senior functional leadership where the role needs engineering depth, operating-model
change and real adoption, not just reporting.
Data & AI value creation
PE-backed, scale-up and enterprise roles where the brief is to mature data and AI and
convert it into measurable commercial outcomes.
Title-agnostic, remit-led. The same senior role is called Director, Senior Director, Head of, VP or Chief in different companies. I do not screen on title. I screen on scope, authority and total compensation, so please do not hold back a strong search because the title does not say Chief.
01 / Search Snapshot
Everything you need to assess me for a longlist, in one view.
Built so a researcher or partner can lift the essentials straight into a brief. The detail behind every line is in the CV and the public evidence below.
Sectors and environments
Telco, technology and SaaS, financial services, PE-backed mid-market and large enterprise. Strongest where data and AI are central to value, not a back office.
Comfortable in regulated and complex estates.Geography and work model
UK-based. Permanent roles that are hybrid or remote. Open to remote roles legally based in the UK or Mexico, and to the right relocation case.
British and Mexican national, no UK sponsorship needed.Scope I lead well
Enterprise data strategy, AI adoption, governance, platform modernisation, data product and operating-model change, with commercial accountability.
Engineering foundation through to ExCo influence.Availability
In a current executive role and exploring a select next step, so timing is planned rather than urgent. I am responsive to credible executive searches and handle conversations discreetly.
Structured search, no scattergun applications.Compensation
Aligned to the senior UK Data and AI executive market. Total compensation is the gate, not title alone, and I weigh base, bonus and long-term incentive together.
Happy to discuss specifics in confidence.02 / Track Record
Proof the work moves beyond strategy slides.
The consistent pattern: turning fragmented systems, unclear ownership and low-trust data into trusted capability the business uses, with the commercial outcomes to show for it.
VMO2 Data Democratisation
Problem: fragmented reporting, weak ownership, manual workarounds and inconsistent definitions.
Intervention: operating model, governed business layers, self-service products, support and culture, including Tableau to the Techs for 2,000+ field technicians and Martian Frontier as a data-culture mechanism.
Result: launched 300+ Tableau dashboards, delivered at least £23m annualised DD benefit since July 2024, and supported 11,000+ Tableau users.
Gemini Enterprise and data agents
Problem: business teams needed a trusted, governed way to start using AI with data.
Intervention: procurement, governance, privacy, vendor management, the Verity brand, onboarding, training and adoption.
Result: 1,000+ users onboarded to Gemini Enterprise and data agents, with a 5,000-user rollout underway.
Platform and operating model rationalisation
Problem: multiple BI and data platforms, overlapping tools and unclear ownership.
Intervention: consolidation of nine BI/data platforms, a modernised target stack, stronger governance and observability.
Result: documented savings in the £8m to £13m YoY range, depending on scope definition.
If a current or upcoming search maps to this, I would welcome the brief.
Share the search contextHow I operate at scale
I move data from fragmented, low-trust platforms toward governed business layers, Data Mesh patterns, self-service adoption and commercial value creation. The transformation lens I use is MASS: Mindset, Abilities, Systems and Structure. This is the depth a serious Data and AI executive search is usually testing for.
Business ownershipDomains, definitions,
value cases and senior decision rhythms.
Data Mesh patternsDomain ownership,
federated governance and reusable products where scale needs it.
Trusted foundationsBusiness layers,
governance, quality, privacy and access controls.
Reusable productsCertified data products,
Tableau, Atlan, dbt and support patterns.
MASS adoptionMindset, Abilities, Systems and
Structure working together.
Adoption systemTraining, office hours,
communications, communities and data culture.
AI readinessData agents, safe adoption,
vendor management and risk controls.
Value trackingCommercial outcomes, usage,
adoption and delivery accountability.
03 / Public Evidence
Independently verifiable, useful for your due diligence.
Public signals you can check without taking the CV at face value: customer stories, interviews, speaking profiles and industry recognition from the data and cloud ecosystem.
Enterprise Case Study
Read the Tableau VMO2 case
study
Virgin Media O2 and Tableau customer story
The public Tableau customer story says Virgin Media O2 helped prevent £250m worth of fraud and blocked 92m+ malicious texts.
Executive Feature
Read the Interface
Magazine feature
Interface Magazine feature
Executive feature on data democratisation at Virgin Media O2, framed as a cultural movement rather than a reporting programme.
Google Cloud Next Speaker
See the Google Cloud Next
speaker profile
Google Cloud Next 2026 speaker profile
Public speaker profile connected to enterprise AI, modernisation and human-centred transformation.
Ecosystem Insights
Read the Atlan VMO2 data
context case
Atlan, Gartner and ReGovern coverage
Public ecosystem references around data context, governance and enterprise adoption at Virgin Media O2.
Executive Podcast
Listen to the C-Suite
Podcast episode
C-Suite Podcast
Conversation from Google Cloud Next on agentic AI, modernisation and human-centred transformation.
Industry Awards
See the British Data Awards
result
British Data Awards 2026, Data Team of the Year
Winner, Data Team of the Year (20+ people), plus finalist for Data Transformation of the Year. Judged by independent panel across the UK data and analytics industry.
The 3-minute story
A short version of the career throughline: engineering foundations, enterprise data scale, AI adoption, and the leadership a serious executive search is hiring for.
If the embedded video is blocked on your network, open the video directly. In three minutes it covers the throughline from engineering and SaaS platforms to enterprise data leadership, practical AI adoption and the kind of executive role I am ready for next.
Engineering foundation
Computer Systems Engineer, graduated top of the generation, with early depth in Java,
API architecture and enterprise platforms.
Enterprise transformation
Operating model work across Salesforce, MuleSoft, Peñoles and Virgin Media O2 to enable
governed business adoption.
Data and AI leadership
Enterprise data strategy, AI adoption and commercial value, with the authority and
stakeholder reach a senior executive role needs.
04 / For Search Partners
How to brief me, and where I am a strong placement.
Written for retained partners, in-house talent leaders and hiring boards. The aim is to make me an easy, low-risk name to put forward for the right search, with enough context to avoid wasting anyone's time.
Where I am a strong fit
- Permanent CDO, CDAO or Chief Data and AI Officer roles with enterprise-wide remit
- EVP, SVP or VP Data and AI roles with engineering, platform and transformation depth
- PE portfolio companies maturing data and AI ahead of exit or post-acquisition
- Telco, SaaS, financial services and large enterprises where data and AI drive value
- Roles reporting to the CEO, board or ExCo with genuine authority, budget and decision rights
What makes me easy to place
- Clear on geography, work model and compensation, so no surprises late in a process
- British and Mexican national, no UK sponsorship required
- Strong, verifiable public proof and references available on request
- Tailored CV and materials provided quickly for a specific search
- Discreet and responsive, and I do not run a scattergun application campaign
What is useful in a first note
- The role, company stage and reporting line
- The remit: what success looks like in the first 12 months
- Location and work model
- Total compensation range, even approximate
- Process and timeline
Probably not the right fit: reporting-only or BI-dashboard roles, a governance-only remit with no authority or budget, or a capped role with no path to real decision rights. I am a better fit where the business needs data and AI leadership with remit, scope and commercial accountability.
Share a relevant search, in confidence.
The most useful first note is short: the role and company, the reporting line, what success looks like in the first 12 months, the location and work model, and an approximate total compensation range. I will come back to you within 24 hours.