Operations · Systems · Technology
UK localCurrent UK local time:Make complexthings work.
Sean Oldaker is a technology operations and enterprise transformation leader. Operating from hands-on electrical engineering through multinational programme delivery to mission-critical 24/7 service operations, product intelligence, and enterprise AI transformation. Grounded in physical constraints, built for boardroom clarity.
See how the work evolvedElectrical engineering to enterprise AI.
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Country anchors · Selected experience
Career progression / 01—04
Evolution of the work.
A career built on practical electrical engineering, scaled across multinational infrastructure, and evolved into software systems and enterprise AI.
- 01
Practical Foundations
Electrical & Building ServicesMore than a decade on live sites: high-voltage and low-voltage distribution, installation and testing, contractor coordination and site supervision. This is where I learned how systems actually fail, and it keeps the later strategy work anchored in what can be built, energised and maintained.
- 02
Scale & Governance
Multinational Programme Delivery & ContractsFrom electrical surveying and contracts management to leading multi-million pound infrastructure rollouts across five-plus European countries. Owned programme governance, commercial risk, procurement and cross-border supply chains for 2,500+ assets serving global logistics networks and national operators.
- 03
Operations & Reliability
24/7 Service Delivery & Customer SuccessBuilt a 40+ person multi-tier support organisation from scratch, with 24/7 response for mission-critical fleets. Scaled the supported asset estate 4× with zero controllable SLA breaches across tier-1 transit and logistics operators, and took a new-country service live at 100% customer satisfaction.
- 04
Systems & Intelligence
Product Thinking & Enterprise AITurning operational expertise into software. Defining deterministic fault-detection rules from repeated charging-session behaviour, automating service workflows, and leading the move from individual AI use to governed, agentic enterprise workflows. The working rule: make the expertise a system, not a person.
Why the grounding matters
The early electrical work is not a footnote. It is why the AI and systems strategy has operational teeth: I know how equipment fails in the field, how contractors and suppliers behave under pressure, and how to frame the investment trade-offs so an executive board can decide with confidence.
Not an industry boundary
EV charging is where the work happened, not the limit of where it applies. Every phase involved physical assets, software, data and multiple suppliers meeting in one operation. The same pattern holds in energy, transport, utilities, connected industrial assets and enterprise SaaS.
01 / Forensic case studies
Less theory. More traction.
Make the expertise a system.
Product intelligence · Enterprise AI transformationOperational diagnostic knowledge locked in human heads does not scale.
A service that stays answerable.
Mission-critical operations · 24/7 Service deliveryWhen critical systems fail, ownership cannot be the next mystery.
Infrastructure, across borders.
Programme leadership · Multinational deploymentA deployment is only useful when the next team can run it.
Accountability, on the ground.
Physical engineering · Commercial contractingSafety-critical work leaves zero room for vague responsibility.
A good system makes the right thing easier to do. Especially on a difficult Tuesday.
Clear owners. Honest signals. Fewer things falling between teams. Make the expertise a system, not a person.
Research and Operational Intelligence
02 / The library
What you keep matters more than what you finish.
Operational mental models, systems thinking, and leadership patterns curated across 37 texts to solve complex engineering and organisational problems.
Browse the reading notes03 / Field notes
The economy is splitting into different realities.
A macroeconomic analysis examining AI productivity gains, wage decoupling, and why replicable digital outputs increase the scarcity of physical infrastructure, verified delivery, and human trust.
Read the field note