This is the first post on my new blog, so it seems only fair to start with a quick introduction.

I’m Maximilian Jackson. I’ve spent the last twenty years working with data inside technology organisations — helping them take large, messy, complicated datasets and turn them into information people can actually make decisions with. My work has gradually moved from statistics and modelling into the broader world of data management, analytics, and AI leadership.

Right now I’m Director, Data & AI at B H S, doing some of the most hands-on work I’ve had in years. I’m organising the data, rebuilding the systems that sit on top of it, redesigning the processes and the jobs that depend on those systems, and training the people who use all of it every day. It’s equal parts setting strategy and getting things to actually work in practice.

At the core of what I do is a simple obsession: converting data into clarity. That spans the whole lifecycle — integration and management, then modelling with machine learning, advanced statistics, custom algorithms, network graphs, and operations research, and finally visualisation and dashboards that non-specialists can genuinely read and trust. I care just as much about the human side: translating between technical teams and business stakeholders, and building and leading teams that ship good work.

You can expect posts here about a few recurring themes:

  • Data & analytics in practice — how you take a large, complicated dataset and shape it into something that actually improves a decision.
  • AI and modern data systems — rebuilding data estates, and where machine learning and advanced modelling earn their keep (and where they don’t).
  • Leadership and enablement — stakeholder management, team building, and training people to work confidently with data.

I started this blog as a place to think out loud and document lessons from the field — especially while I’m mid-rebuild at B H S. This is the messy, real version of the work that doesn’t fit neatly into a slide deck.

I don’t have a rigid schedule. The plan is to write when I have something worth sharing and keep it useful.

If you’d like to reach me or see more of my work, find my code on GitHub or connect with me on LinkedIn.

Thanks for reading — more soon.