Finance Process & Systems Lead

Build the systems and process backbone of the Finance function in one of the most complex industries – and shape how Finance can be run differently.

trawa is transforming how mid-sized companies access green, intelligent energy. That means building in a market shaped by decades-old logic, extensive regulation, and highly complex data structures: 15-minute time series, PPAs, spot, futures, and direct marketing. All of this needs to flow into Finance in a way that is accurate, efficient, and scalable.

We're looking for a Finance Process & Systems Lead to take real ownership of how Finance operates, scales, and automates at trawa. This is a blue-sky role: you'll design our system landscape, redesign core processes end to end, lead the Finance side of our ERP rollout, and turn AI and automation from side experiments into core infrastructure.

You'll work closely with the Finance team across all functions, as well as Business Operations, Tech, Data, and other key stakeholders, to build the foundations that allow Finance to scale with the business.

• Own trawa's Finance technology stack end to end – from today's fragmented landscape to a fully integrated stack built around a modern cloud ERP.

• Lead the broader Finance IT transformation, including architecture, vendor selection, integrations, and the roadmap for our ERP, billing system, and future Finance tools.

• Drive requirements, implementation, and go-live from the systems side. For accounting-heavy topics, you'll work closely with the Accounting Lead, who brings the required technical depth.

Your biggest lever in the first 12 months will be to structurally redesign Quote-to-Cash for our energy business.

• Redesign our core Finance processes end to end – including Quote-to-Cash, Procure-to-Pay, and Record-to-Report – with scalability, controls by design, and automation built in from the start.

• Own the automation roadmap: define what gets automated, in which order, and with what expected return on investment.

• Drive month-end close automation and establish time to close as a measurable performance indicator.

• Turn AI and workflow automation into reliable Finance infrastructure rather than isolated experiments.

• Own Finance master data and the Finance layer of our data warehouse, from source systems and governance through to reporting-ready tables.

• Translate energy-specific data – including time series, accruals, and portfolio pricing – into Finance-grade structures together with Tech, Data, and Business Operations.

• Establish the data models, governance, and quality standards that enable reliable reporting and scalable Finance processes.