Experience
A career that moved from building systems, to building products, to owning the platform other people build on.
The compressed version is on the Start here page, and the full CV is downloadable there. This page is the narrative in between.
Westpac New Zealand · 2021 to present
Technical Product Owner (Service Owner), Enterprise ML Platform · 2024 to present
I own the strategy, roadmap and day-to-day delivery of the bank's enterprise machine learning platform, and lead a cross-functional squad of five specialists: a data scientist, a lead platform engineer, a data engineer, a tester and an associate engineer. Formal people leadership sits with People Leads; delivery, direction and prioritisation sit with me.
The platform serves internal data science and business teams. My accountability is that they can get from an idea to a governed production service without rebuilding the route each time.
Specific things I own:
- Product direction and roadmap for a shared platform with several internal consumer teams, and the prioritisation trade-offs across value, risk, dependency and delivery capacity when those teams want different things.
- The platform-side production promotion gate for machine learning workloads. Specialist approval authority stays with Privacy, Model Risk and Security. What I own is that the route through them is documented, sequenced and passable.
- The operating model that turned fragmented enterprise control requirements into one repeatable lifecycle with defined gates and specified artefacts.
- Platform cost forecasting across production and non-production environments, including adoption growth and the cost profile of generative AI workloads.
- Extension of the platform from traditional machine learning into governed generative AI capability across two cloud providers.
Data Engineer & Product Owner, Enterprise ML Platform · 2021 to 2024
Helped build and evolve a data science workbench into a shared, governed enterprise platform. Delivered core AWS data and machine learning pipelines, and embedded monitoring, CI/CD and compliance capability into platform operations in partnership with Security, Risk and Privacy.
This is where the technical credibility came from. Python, SQL, SageMaker, S3, Lambda, Glue, Kafka, data pipelines, MLOps. I no longer write production code, and I can still read it, which turns out to matter more than either extreme.
Sixth Official · 2020 to 2021
Co-founder and product manager of a sports technology startup building performance analytics for amateur teams. Led discovery, MVP definition, roadmap and pilot delivery, working directly with coaches to validate what was actually needed rather than what was interesting to build. Ran a live pilot with an amateur football club and coordinated a small cross-functional team.
A year of doing product with no institutional safety net teaches things that a year inside a large organisation does not.
The Clinician · 2020 to 2021
Data scientist at a digital health technology company. Delivered analytics and reporting capability used by clinical teams to track patient outcomes and support decision-making, working with clinicians, product and engineering.
Earlier · 2013 to 2020
- Department of Corrections New Zealand — Database Developer, contract, 2019 to 2020
- Wellington UniVentures (Viclink) — Product Developer, 2017 to 2019
- Contherm Scientific — Software Engineer, 2013 to 2017
Education
- Master of Software Development, Victoria University of Wellington, 2018 to 2019
- Bachelor of Science, Electronic and Computer Systems, Victoria University of Wellington, 2015 to 2018
- New Zealand Diploma in Engineering, Electrical and Electronics, WelTec, 2012 to 2013
Certifications
- Professional Scrum Master I, Scrum.org, 2021
- PMI Generative AI coursework for project managers, 2025
A note on this page
This describes general professional experience. It does not disclose confidential employer information, internal system names, proprietary metrics or non-public plans, and it does not represent the views of any current or former employer.