Data strategy and operating model
Clarify what the data function is for, how it should work with the business, and where ownership, delivery and governance need to sit.
Outcome-driven alignmentFractional CDO / Data & AI Adviser
Senior help for data, AI and engineering transformation work that needs to move.
I help leadership teams turn fragmented data, platforms and reporting into trusted capability the business can actually use. My background is in engineering, enterprise data, AI adoption and operating model change.
EVP, Data Democratisation
Enterprise Data & AI Remit at VMO2
Enterprise Data & AI Remit at VMO2
Executive Summary (3 mins)
An overview of Mauro's career throughline: engineering foundations, enterprise data scale, and the convergence of Data, AI, and Engineering value creation.
Engineering Foundation
Systems engineering background, graduation generation rank 1, Java certifications, and MuleSoft API architecture expertise.
Enterprise Transformation
Operating model overhauls at Salesforce, MuleSoft, Peñoles, and Virgin Media O2 to enable governed business adoption.
Data & AI Integration
Accelerating secure data-agent and generative model deployment backed by reliable enterprise data platforms.
01 / What I Help With
Practical senior support where data and AI need to become useful.
The work is usually part strategy, part operating model, part technology judgement and part adoption. I am most useful when the leadership team needs someone who can connect those pieces quickly.
AI adoption and readiness
Help teams move from AI interest into practical use, with the right data foundations, controls, training and adoption support.
Commercially safe scaleGovernance, trust and quality
Build the confidence layer: definitions, ownership, privacy, controls, quality expectations and executive decision rhythms.
Governed business trustSelf-service and data products
Move reporting away from manual dependency toward reusable products, certified business layers and tools people can trust.
Democratic self-sufficiencyPlatform simplification
Make sense of crowded BI, data and AI estates, then shape a practical route to simplification, adoption and cost discipline.
TCO and footprint reductionExecutive advisory and change
Support boards, ExCos and leadership teams with clear choices, realistic sequencing and a delivery plan that people can act on.
C-suite strategy translationOperating Model Transformation
Moving data from fragmented, low-trust platforms toward governed business layers, self-service adoption, and commercial value creation.
02 / Selected Public Evidence
A few public signals, not a long list of claims.
These links are useful because they show the work from outside the CV: customer stories, interviews, speaking profiles and coverage from the data and cloud ecosystem.
Enterprise Case Study
Open story
Virgin Media O2 and Tableau customer story
Public story on using Tableau against fraud, including £250m+ fraud prevention and 92m+ malicious texts blocked, scoped to the published customer story.
Executive Feature
Open article
Interface Magazine feature
Executive feature on data democratisation at Virgin Media O2, framed as a cultural movement rather than a reporting programme.
Keynote Speaker
Open profile
Google Cloud Next 2026 speaker profile
Public speaker profile connected to enterprise AI, modernisation and human-centred transformation.
Ecosystem Insights
Open link
Atlan, Gartner and ReGovern coverage
Public ecosystem references around data context, governance and enterprise adoption at Virgin Media O2.
Executive Podcast
Open podcast
C-Suite Podcast
Conversation from Google Cloud Next on agentic AI, modernisation and human-centred transformation.
Industry Awards
Awards site
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.
03 / How I Work
Clear scope, senior access and enough time to make it practical.
Fractional work is useful when the problem is important, the sponsorship is senior, and the engagement is designed around outcomes rather than activity.
Best-fit clients
- PE portfolio companies needing data and AI maturity ahead of exit or post-acquisition
- Series B to D scale-ups building a data operating model before a permanent CDO hire
- Mid-market companies with fragmented data and weak ownership
- Corporates needing interim CDO cover during a permanent search
- Boards and ExCos that need clear data and AI advisory
Good-fit engagements
- Fractional or interim CDO / CDAO mandate
- Data and AI strategy reset or diagnostic
- AI adoption and data-agent readiness
- Governance, trust and data-product operating model
- PE value creation or pre-exit data maturity acceleration
Working rhythm
Typically 1 to 3 days per week per client. UK-based. Remote-first as the default, with travel for board sessions, key workshops or leadership alignment where it genuinely adds value. A diagnostic or strategy sprint usually takes 4 to 6 weeks: clear assessment, board-ready readout and prioritised roadmap.
Useful when a leadership team needs senior data and AI judgement quickly.
Best first conversation: the problem you are trying to solve, where the current data or AI work is stuck, and what would need to be true in 90 days for the engagement to be worth it.