Technical / IT Project Management

Delivery that stays connected to the people using it.

I bring project-management discipline to technical delivery: clarify the problem, align the people involved, make progress visible, and carry the work through migration, rollout, and adoption. This is also the foundation of my AI Project Management work.

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How I help

Make delivery easier to trust

Turn a broad goal into scope, milestones, dependencies, and decisions.
Coordinate technical and non-technical stakeholders with clear written communication.
Lead migrations and workflow changes with validation, rollout, and adoption in mind.
Maintain momentum through risks, documentation, and practical next steps.

Selected work

Migrations, systems, and programme delivery

The examples below show the kind of technical coordination and operational ownership I bring to a team.

Applied AI · Internal tool

AI content pipeline

A 12-step internal content-production system that turned a keyword brief into a review-ready document.

549 articles across 882 jobs; measured failure rate reduced from 25–40% to 4–8%.

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Systems delivery · Programme design

Content syndication programme

A new programme designed to make distribution work visible, repeatable, and easier to improve.

A public case study focused on what held up and what the original metrics did not prove.

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Technical project delivery · Migration

Internal CRM migration

Moved operational workflows away from Airtable dependencies into a custom internal CRM and dashboard.

46 automations documented; 16 of 16 selected production scenarios rebuilt; adopted by a 12-person team.

Read the public case study

Automation design · Operations

Automation systems

A portfolio of operational workflows designed around a clear need, trigger, action, and measurable outcome.

80+ automations shipped across operational workflows.

Read the public case study

View the GitHub portfolio