Operations + Transformation
Enterprise Fleet Transformation
Governance, ownership, risk, lifecycle strategy, procurement and decarbonization across a large distributed fleet.
- My role
- Program leadership
Scale
- ~4,000
- Vehicles
- ~$70M
- Annual operating spend
Context
A fleet at this scale is not a transportation problem. It is a distributed system of capital decisions, made continuously across many locations by people whose primary job is something else entirely.
Roughly $70 million a year moves through it. Vehicles are specified locally, purchased on different cycles, held for varying lifetimes, and replaced according to habit as often as policy.
The problem
Nobody was making bad decisions. The decisions were simply being made in isolation.
A fleet spread across many locations accumulates variation: different specifications for the same job, different replacement timing, different vendors, different assumptions about what a vehicle costs to own. Each choice is locally reasonable. In aggregate they produce cost the organization cannot see, risk it has not assessed, and an emissions profile no one can act on — because there is no single place where the tradeoff is visible.
Decarbonization makes this worse before it makes it better. Electrification is not a procurement swap. It touches duty cycles, charging infrastructure, facility electrical capacity, driver experience, maintenance capability, and resale assumptions simultaneously. An organization that cannot yet see its own replacement timing cannot plan an electrification pathway.
Why it mattered
Thousands of people drive these vehicles to do their actual jobs. A specification that looks efficient on a spreadsheet and is wrong for the work does not save money — it gets worked around, and the workaround costs more than the original.
The program had to hold cost, risk, emissions, and field reality at the same time, or it would be ignored by the people it depended on.
Approach
Make the total cost visible before changing anything. Ownership cost, not purchase price, as the unit of decision — acquisition, maintenance, fuel, downtime, resale, and lifecycle timing together.
Move the decision from habit to policy. Specification standards, replacement criteria, and procurement pathways defined once, centrally, so the default choice is the considered one.
Treat governance as the product. The durable output of this work is not a purchase. It is a structure that keeps producing good decisions after the program ends.
Design with field operations, not for them. The people who drive and maintain these vehicles know things that do not appear in any dataset. A policy they did not help shape will be worked around within a quarter.
Sequence decarbonization behind visibility. Electrification planned against real duty cycles and real replacement timing, not against an aspirational curve.
What I built / led
Fleet governance structure and policy.
Procurement strategy and vendor approach.
Ownership and lifecycle management models.
Risk and compliance framework.
Alignment between central program and field operations.
The decarbonization pathway, integrated with replacement cycles rather than bolted on beside them.
Result
A fleet program with unified governance, defined specification and replacement standards, a coherent procurement approach, and a decarbonization pathway grounded in actual operational data across roughly 4,000 vehicles and approximately $70M in annual operating spend.
What I learned
At scale, the policy is the product. A good individual decision helps once. A structure that produces good decisions helps every time, including after you leave.
Field credibility is a technical requirement, not a soft skill. The program's accuracy depended on information that only existed in the heads of people doing the work. There was no dataset substitute for asking them.
