Business analysis + delivery
I combine structured analysis, stakeholder communication, and hands-on technical delivery to move work from ambiguity to something usable.
About
Better data and technology start with understanding the real problem.
I’ve spent much of my career translating complex business needs, processes, and data into practical changes that people could understand, trust, and use.
Today, that background shapes my work across data, analytics, and AI, from clarifying requirements and getting the data right to delivering solutions that work in a real operating environment.
Business analysisData & analyticsPractical AI
Built for real environments
My background comes from places where clarity, testing, reliability, and stakeholder confidence actually mattered.
Data before technology
I care about requirements, data quality, modelling, integration, and reporting because analytics and AI are only as dependable as their foundations.
Good to work with
The strongest feedback I get is usually some mix of clarity, reliability, calm delivery, and being an enjoyable person to have on the team.
How I think
The useful part of my background isn’t just where I’ve worked.
It’s the way those environments taught me to think: clearly, practically, and with a strong bias toward systems that people can understand, trust, and actually use.
Better decisions begin with a clear problem and dependable data.
Analytics and AI are only useful when they fit into real work.
Most delivery problems are really communication problems in disguise.
If something matters in practice, it needs structure, testing, and trust.
Recognisable environments
Experience shaped by organisations where delivery standards were real
Notable organisations
Pfizer
The University of LawHigh-stakes enterprise delivery, student systems, process improvement, testing, requirements, implementation, and operational change.
Sector experience
HealthcareEducationRecruitmentTelecomsFinanceSmall business operations
The thread running through it
I arrived at Data & AI through years of practical delivery.
My route into this work came through solving operational problems, designing databases, working with reporting and data, defining requirements, supporting teams, and helping projects move from ambiguity to something usable.
Earlier career
Developer and solutions builder
I started on the technical side: building systems, designing databases, solving messy operational problems, and learning what teams actually need from software in the real world.
Delivery years
Business Analyst in serious delivery environments
I spent years working across planning, requirements, process design, UAT, implementation, and stakeholder communication, especially in environments where failure would have been expensive, disruptive, or very visible.
Today
Data and AI with delivery discipline
I now bring that combination to analytics and AI: understanding the business need, getting the data right, and shaping solutions around operational reality and the standards real organisations expect.
Working style
What teams tend to get from me
Clear with complexity
I’m good at taking messy processes, technical constraints, and competing stakeholder views, then turning them into something understandable and actionable.
Comfortable across the gap
I can think with technical people, talk with business stakeholders, and help both sides stay aligned without unnecessary theatre.
Low ego, high standards
I care about doing the work well, being easy to collaborate with, and helping a team look good in front of users, leaders, and clients.
What people noticed
The human side matters too
Skills matter. So does fit. The feedback that means the most to me is the kind that reflects both.
“You need look no further than Ian.”
Senior project stakeholder, The University of Law
“Exceptional expertise, diligence, and reliability.”
Senior Project Manager, The University of Law
“He was also a lot of fun.”
Colleague, Pfizer
Work together
Need someone who can connect business needs, data, and technical delivery?
My projects and writing show the technical work. The consistent thread is helping teams turn complexity into clear requirements, dependable information, and practical solutions.