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Enabling CXOs, their teams, and organisations to deliver impact, value and outcomes with data and technology since 2002. I work to increase revenues, reduce costs & mitigate risks from strategy into operation.
Do you or your organisation need help with your data strategy, challenges with your operating model or delivering business value with data, analytics and AI? Do you need to mitigate risks and operational inefficiencies; reduce operational costs and increase revenues to optimise profits? If the answer to any of these questions is yes, then I’m available to help you work through the challenges and opportunities you are facing into in a collaborative and supportive style. As a results-oriented data, analytics, and AI leader with 20+ years of experience, I excel at developing and executing data-driven strategies that deliver significant business value. My expertise spans the entire data lifecycle, from architecture and platform implementation to team leadership and process optimisation. Before consulting, I held client-side leadership roles where I was directly responsible for driving tens of millions in revenue growth, innovative data-enabled solutions and efficiency improvements, while also implementing effective risk mitigation strategies. This deep understanding of client-side challenges informs my consulting approach, allowing me to partner with globally recognised brands and complex international organisations to achieve their strategic objectives. I am passionate about leveraging data to transform businesses and create a competitive edge. I have: > Supported several CDOs to create their data strategies and develop their teams to meet demands. > Analysed D&A driven value opportunities across all parts of Telecoms, Media, Retail, Insurance & Banking businesses creating a robust value-led prioritisation method. > Architected enterprise-wide operating & growth model for dunnhumby pre-scaling to 38 countries. > Led development of a strategic and operational segmentation strategy and solution for a group function and 15 OpCos. > Designed and implemented a sal
University of Lancashire
Bachelor of Arts - BA, BA Hons Marketing
January 1, 1994 – January 1, 1997
Barrow-in-Furness VIth Form College
Gen. Studies, Physics, Biology, Sports Studies
January 1, 1991 – January 1, 1993
Parkview School
GCSE / O Level Equivalents, English Lit & Lang, Maths, Physics, Biology, Geography, German, Design & Communications
January 1, 1986 – January 1, 1991
Coventry University London
Guest Lecturer
February 1, 2026 – Present
Greater London · Hybrid
Daemon
Head of AI
November 1, 2025 – Present
Hybrid
Nexer Enterprise Applications
Head of Data & AI
April 1, 2025 – July 1, 2025
United Kingdom · Remote
GMJ Enterprises Ltd
Data & AI Strategy & Execution Leader & Consultant
July 1, 2024 – Present
London Area, United Kingdom · Hybrid
PwC UK
Senior Director, Data, Analytics & AI
May 1, 2023 – June 1, 2024
London Area, United Kingdom · Hybrid
GFT Group
Associate Director in Value Creation - Professional Services Consulting Leader
January 1, 2022 – April 1, 2023
United Kingdom · Hybrid
Rockborne
Founding Partner - Data Engineering & AI Talent Creation
April 1, 2021 – October 1, 2021
Wimbledon, England, United Kingdom
IBM
Data, Analytics & AI Leadership
June 1, 2013 – April 1, 2021
Global · Hybrid
Accenture
Senior Manager - Accenture Analytics
November 1, 2010 – June 1, 2013
London, United Kingdom · Hybrid
Experian Integrated Marketing
Director of Analytics
October 1, 2007 – July 1, 2010
Luton, United Kingdom
amdocs
Consulting Manager
September 1, 2006 – October 1, 2007
London, United Kingdom
dunnhumby
UK Customer Engagement Operations Director
October 1, 2002 – August 1, 2006
Ealing, London
Clientside Early Career Summary
Data Leadership & Transformation: Strategic Data Initiatives to Drive Revenue Growth
June 1, 1997 – October 1, 2002
North West, England, United Kingdom · On-site
Scottish Courage Market Research for New Product Launch (Alcopops)
September 1, 1994 – December 1, 1994
Primary and Secondary Research Study including research design, execution, data collection, analysis and results presentation using Survey, Focus Group and 1:1 interviews related to the launch of a new set of drink products targeted at the young adult market (25-35).
Applied Data Science with Python - Level 2
IBM
June 24, 2026 – Present
Power BI Essential Training
June 24, 2026 – Present
AI Strategy Foundations for Data Scientists and Team Leaders
June 24, 2026 – Present
LLM Foundations: Vector Databases LLM Foundations: Vector Databases for Caching and Retrieval for Caching and Retrieval Augmented Generation (RAG) Augmented Generation (RAG)
LinkedIn Learning
June 24, 2026 – Present
Google Cloud Platform - Generative AI with Vertex
June 24, 2026 – Present
AWS Cloud Practitioner
Amazon Web Services (AWS)
June 24, 2026 – Present
Microsoft Azure Fabric Practitioner
Technofocus
June 24, 2026 – Present
Gen AI Development with Microsoft Azure and Open AI
Technofocus
June 24, 2026 – Present
Google Cloud Digital Leader
June 24, 2026 – Present
Introduction to Digital Transformation with Google Cloud (100%)
June 24, 2026 – Present
DataOps (99%)
IBM
June 24, 2026 – Present
How to Build Chatbots (CB0103EN)
IBM
June 24, 2026 – Present
IBM Data Topology
IBM
June 24, 2026 – Present
Watson Studio Essentials
IBM
June 24, 2026 – Present
What is Data Science?
Coursera
June 24, 2026 – Present
Databricks Fundamentals Accreditation
Databricks
June 24, 2026 – Present
Analytics Tools Level 1 - Cognos Analytics, Watson Analytics, SPSS & Decision Optimization Center
IBM
June 24, 2026 – Present
Insurance Industry Certification
Accenture
June 24, 2026 – Present
Banking Industry Certification
Accenture
June 24, 2026 – Present
Big Data Foundations - Level 2
IBM
June 24, 2026 – Present
IBM Garage Method for Cloud Advocate
IBM
June 24, 2026 – Present
IBM Garage Method for Cloud Explorer
IBM
June 24, 2026 – Present
Data Science for Business - Level 2
IBM
June 24, 2026 – Present
Open Source Tools for Data Science
Coursera
June 24, 2026 – Present
Data Science Methodology (96.3%)
IBM
June 24, 2026 – Present
AI For Everyone by deeplearning.ai on Coursera. Certificate earned at Friday, August 30, 2019 3:07 PM GMT (98.3%)
DeepLearning.AI
June 24, 2026 – Present
IBM Design Thinking Practitioner
IBM
June 24, 2026 – Present
IBM Selling Profession Certification - Level II Expert
IBM
June 24, 2026 – Present
IBM Watson Data Platform Practitioner
IBM
June 24, 2026 – Present
Telecommunications Industry Certification
Accenture
June 24, 2026 – Present
Introduction to Model Context Protocol
Anthropic
June 24, 2026 – Present
AI Critical Thinking: The Complete Guide to Modern Thinking
Udemy
June 24, 2026 – Present
AI for Beginners @ Work - ChatGPT, Claude, Gemini + Copilot
Udemy
June 24, 2026 – Present
Teaching the AI Fluency Framework
Anthropic
June 24, 2026 – Present
Model Context Protocol: Advanced Topics
Anthropic
June 24, 2026 – Present
Introduction to Subagents
Anthropic
June 24, 2026 – Present
Claude Code 101
Anthropic
June 24, 2026 – Present
Introduction to Claude Cowork
Anthropic
June 24, 2026 – Present
Google NotebookLM: Complete Beginners Guide
Udemy
June 24, 2026 – Present
Master NotebookLM: The Ultimate in Al NoteTaking (2026)
Udemy
June 24, 2026 – Present
The EU Al Act Explained: Compliance and Practical Impact
Udemy
June 24, 2026 – Present
GitHub Copilot Beginner to Pro - Al for Coding & Development
Udemy
June 24, 2026 – Present
Al Governance: The Fundamentals of AI Governance
Udemy
June 24, 2026 – Present
Google Gemini 2.5: Master Al for Smarter Work & Productivity
Udemy
June 24, 2026 – Present
Al Leader: Generative Al & Agentic Al for Leaders & Founders
Udemy
June 24, 2026 – Present
ISO 42001 - Al Management System - Lead Implementer Course
Udemy
June 24, 2026 – Present
Al Fluency Framework & Foundations
Anthropic
June 24, 2026 – Present
Claude 101
Anthropic Claude
June 24, 2026 – Present
Claude Code in Action
Anthropic
June 24, 2026 – Present
Introduction to agent skills
Anthropic
June 24, 2026 – Present
Building with the Claude API
Anthropic
June 24, 2026 – Present
AI Capabilities and Limitations
Anthropic
June 24, 2026 – Present
Master AI Agents in 30 days: build 8 real-world projects with OpenAI Agents SDK, CrewAI, LangGraph, AutoGen and MCP.
Udemy
June 24, 2026 – Present
Build with AI: Create Deterministic MCP Agents
LinkedIn Learning Community
June 24, 2026 – Present
Build with AI: Build an Agentic Workflow with Google Drive, Google Docs, Open AI, Claude, N8N and Bolt
LinkedIn Learning Community
June 24, 2026 – Present
Time Series Analysis & Forecasting with GPT-4o
June 24, 2026 – Present
Green Coding for Managers
GFT Technologies
June 24, 2026 – Present
Introduction to DevOps and Site Reliability Engineering
The Linux Foundation
June 24, 2026 – Present
Academy Accreditation - Generative AI Fundamentals
Databricks
June 24, 2026 – Present
Generative AI Fundamentals
Databricks
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's extensive experience across various large consulting firms (PwC, IBM, Accenture, GFT) and their focus on building and transforming data and AI capabilities suggest adaptability and a strong drive for innovation. Their involvement in global initiatives and diverse project portfolio indicates a collaborative mindset and ability to work within varied organizational cultures. However, the candidate's background is heavily skewed towards leadership, strategy, and consulting, rather than hands-on software engineering, which might be a mismatch for a pure 'Software Engineer' role.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership, change management, and talent management skills, evidenced by their roles in scaling teams, developing training programs, and driving operational excellence. Their experience in client-facing consulting roles also indicates strong communication and negotiation abilities. The focus on 'augmented decision-making' and 'responsible autonomy' aligns with modern operational best practices in AI.