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Four pieces of work, described in enough detail to be useful. Context, constraints, what I decided, what happened, and what I would carry to a different organisation.

Each account is generalised, with employer systems, internal names and customer information omitted. This is not an employment history; that is under Experience.

Value and reuse · Operating model

After go-live: reuse, cost and who owns the value

The first model in production felt like the finish line. It was the start of a different problem: who reuses it, who pays for it, and who owns the value.
Governance · Operating model

Designing a production gate across six control functions

Every team was rediscovering the same route through governance. Building the route once, without taking authority away from anyone.
Platform adoption · Operating model

Improving platform onboarding as a product problem

Getting a new team productive on a shared platform took weeks. Almost none of that was technical setup.
Enterprise ML · Regulated banking

Taking a machine learning capability from experiment to production service

A well-performing model that no part of the organisation was structured to run. What it took to close that gap, and what it cost.
Product discovery · Sports analytics startup

Choosing what not to build when the data already existed

Every input the predictive version needed already existed. Building it first would still have been the wrong call, and the reason generalises well beyond sport.