FP&A Business Partner - Supply Chain and Datacenter Buildout
About this role
At Verda, we're building a full-stack AI cloud, covering everything from data centers and hardware to our own cloud platform that the world's leading AI teams use to do serious AI work. We strive to make a positive mark on the world through the infrastructure we build and give leading teams a service they can truly depend on. Headquartered in Helsinki, we operate globally with offices in London and San Francisco. Join Verda while it's still being built - not once it's finished.
Why VerdaCash and equity compensation along with various fringe benefits (healthcare, lunch, wellbeing, and more).
Profitable operations with rapid, sustained growth.
40+ nationalities, with 6 different ones on the management team.
A real chance to make an impact and work alongside world class engineers, researchers, and partners across the global AI ecosystem.
PracticalitiesWork mode: Hybrid, based in Helsinki
Level: Mid
Employment type: Full time and permanent
About the role
Verda is looking for an FP&A Business Partner to support our supply chain and data center buildout as we continue to scale our infrastructure footprint. Sitting within a growing FP&A team, this role will act as the finance partner to teams driving physical infrastructure expansion - bringing financial rigor and planning discipline to procurement, capex, and buildout decisions. This is a great opportunity to shape how finance partners with operations at a fast-growing, capital-intensive infrastructure company.
Your responsibilitiesAct as the primary finance business partner to supply chain and data center buildout teams, providing financial analysis and planning support across procurement and infrastructure expansion
Build and maintain cost models and forecasts for data center buildout projects, including capex planning and phasing
Partner with procurement and operations teams to track and forecast supply chain costs, including GPU and hardware procurement where relevant
Support capacity planning by modeling the financ