The pathway
How you actually get there, here
How you become one varies far more by country than what one does. This is the UK route. Most people take one of these ways in; the right one depends on where you're starting from.
- 1
Senior International Logistics Specialist
3-5 years at Senior Specialist levelSkills to master
- Deep expertise in complex international shipments (DG, L/C), strong problem-solving for customs issues, informal mentorship of junior staff, and a proven track record of independent project ownership.
You're ready to move on when
- Consistently resolving complex customs holds without escalation.
- Successfully leading small-to-medium logistics projects (e.g., new carrier onboarding).
- Demonstrating initiative in identifying and implementing process improvements.
- Receiving positive feedback on informal mentoring and guidance to peers.
- 2
Operations Supervisor (with international focus)
4-6 years at Supervisor levelSkills to master
- Direct line management experience (performance reviews, scheduling), accountability for team KPIs, strong operational planning, and a good understanding of both domestic and international shipping processes.
You're ready to move on when
- Successfully managing a team of 5+ individuals to hit daily/weekly targets.
- Proactively identifying and resolving team performance issues.
- Demonstrating strong communication with internal stakeholders (e.g., warehouse management, procurement).
- Taking ownership of significant operational challenges and seeing them through to resolution.
- 3
Supply Chain Analyst (with international exposure)
5-7 years at Analyst level, plus some operational experienceSkills to master
- Advanced data analysis (Excel, BI tools), modelling supply chain costs and efficiencies, presenting data-driven recommendations to leadership, and a good understanding of international trade data.
You're ready to move on when
- Building complex landed cost models that drive significant savings.
- Presenting compelling, data-backed recommendations to senior management.
- Demonstrating a strong understanding of the operational implications of their analytical work.
- Proactively identifying data quality issues and working to resolve them.