Delivering Data Excellence Across Industries

With over 20 years of proven >delivery experience, I transform complex data challenges into measurable business outcomes. Across multiple industries, I've consistently delivered robust data foundations that drive success and are essential for enabling future data initiatives, including AI, ensuring they deliver real business value.

Discovery Call

Delivery Excellence & Impact

Proven track record of transforming data challenges into measurable business outcomes across industries.

Measurable Results Delivered

  • Data Quality: Reduced client data errors by up to 60%
  • Stakeholder Alignment: Improved decision-making efficiency by 5%
  • Cross-Industry Solutions: Successfully solved data challenges in 8+ industries
  • Single Customer View: Increased customer retention rates by up to 15%
  • Technical Expertise: Accelerated project delivery timelines by an average of 20%

Key Skills

  • Data Delivery Focus: Consistent track record of delivery of data projects to scale.
  • Unified Customer Understanding: Delivering the single view essential for deep insights and enabling personalization.
  • Strategic Planning: Aligning data foundations with business objectives and preparing for AI integration.
  • Stakeholder Understanding: Navigating Business and Technical challenges at all levels to deliver successful outcomes.

AI-Ready Advantages

  • Multi-Industry Experience: Unique perspective on business challenges and opportunities.
  • Data Integration Expertise: Creating unified data assets will be essential for successful AI implementations.
  • Healthcare Data Experience: Healthcare Data Experience: Deep experience in healthcare data provides context for supporting the data quality and governance needs of emerging AI applications in this sector.
  • Data Strategy Development: Aligning data foundations with Business ambitions ensuring Technological advances meet Business drivers
  • Full Data Lifecycle Knowledge: Understanding the full data lifecycle provides a unique perspective critical for delivering the robust foundations required for successful AI solutions..

Your Path to AI-Ready Data

Data Quality

Delivering high-quality data creates the trustworthy foundations essential for reliable AI integrations.

Single Customer View

Delivering complete customer data views is essential for enabling sophisticated analytics and AI-driven insights.

Cross-Industry Perspective

AI implementation patterns vary by industry. My experience across 8+ sectors provides the versatility to apply the right approach for your domain.

"

Tony worked as a Data Engineer within the NHS Digi Trials team. He led on a number of initiatives with little support, a self-starter and delivered to time and quality. I would welcome him back without hesitation.

Darren Sadkowski
Project Manager, NHS

Career Journey & Progression

Key milestones and transitions in my professional development

Delivery Record

Future Growth

Continuing to evolve in data leadership and AI strategy

2025+

Healthcare & Pharma Leadership

Applied data expertise to critical healthcare initiatives at NHS Digital, NHS BOB ICB, and AstraZeneca, delivering data pipelines for national-scale health research.

2020-Present

Technical Leadership & Consulting

Led technical data architecture initiatives at icx4, SCISYS, and Jisc, focusing on business intelligence and data visualization solutions.

2016-2020

Data Quality & Operations

Managed data operations and governance at Sky IQ and News UK, implementing robust data quality frameworks and Single Customer View solutions.

2012-2016

Foundation & Growth

Built foundational data analysis and management skills at TNS, Cisco, and Trafalgar Management Services, focusing on customer data analysis and market research.

2002-2012

Career Progression

20+ Years Experience
8+ Industries
13 Key Roles
5 Career Levels

Domain Expertise Analysis

Experience across different industries and business domains

Industry Experience & Expertise

Distribution of expertise across different business domains

Primary Domain Expertise

Travel & Tourism (85 months) and Healthcare (25 months) represent my deepest industry knowledge, with proven results delivering complex data solutions in these sectors.

Cross-Industry Advantage

Experience across 8+ industries allows me to apply best practices from one sector to another—particularly valuable for implementing AI solutions in new contexts.

Why This Matters: Cross-industry experience provides a unique perspective on data challenges and AI applications. My diverse background enables me to identify patterns across sectors and apply proven solutions in new contexts—a critical advantage when implementing AI in your industry.

Capabilities & Impact

Building AI-Ready Data Foundations: Your Path to Future Success

AI-Ready Data Expertise

As organizations race to implement AI, my experience in building robust data foundations becomes increasingly valuable. Each skill area below directly supports successful AI implementations.

85% AI-Relevant Skills
20+ Years Experience
8+ Industries

Skills Matrix for AI Readiness

Expertise categorized by domain with AI relevance indicators

Skill Area Capabilities Proficiency AI Relevance
Data Engineering
SQL/Database ETL Python/PySpark Databricks Snowflake
Data Visualization
PowerBI Qlik Sense Tableau BI Dashboards
Data Quality & Governance
Data Profiling Data Quality Master Data Management Data Definitions
Single Customer View
Customer Matching Identity Resolution Customer Data Integration Customer 360
Cloud Platforms
AWS Azure Databricks Snowflake
Project & Stakeholder Management
Requirements Gathering Stakeholder Management Project Planning Team Leadership

Why This Matters for AI

Building AI-ready data foundations requires proven delivery across technical skills and strategic knowledge. This matrix shows how my expertise provides the essential building blocks for AI success across the data lifecycle – from delivering high-quality data (the bedrock of any AI system) and integration, to governance and strategic project management.

Proficiency Scale

Indicates skill level based on years of experience and complexity of projects delivered

AI Relevance

★★★ High: Critical for AI success
★★ Medium: Important supporting skill
★ Basic: Foundational skill