Finance Transformation Manager

We are a market-leading, mission-driven organisation focused on accelerating the transition to a net-zero economy through innovative financing solutions.

• Own the finance requirements for the development of our leasing and billing platform, ensuring it supports securitisation reporting, accounting treatment and day-to-day operational finance
• Translate complex finance processes into clear, testable requirements that engineering and product teams can build from
• Design and build new finance processes end to end and hand them over so they run reliably without you
• Identify and remove manual BAU work across Financial Operations, Financial Control, FP&A, Credit and Capital Markets
• Lead the practical deployment of AI (we use Claude Enterprise) to automate repetitive finance tasks, applying rigorous cost/benefit judgement
• Work collaboratively across Finance, Data, Product and Operations on problems that don't sit neatly within one team's remit
• Help drive AI and data literacy across the Finance team

• 4+ years experience in consulting, finance transformation, finance systems, or finance-technology advisory, with accountability for delivery rather than contribution
• Experience shaping requirements for, implementing or advising on finance systems that connect billing, accounting, reporting and operational finance - you understand how data moves from a contract through to a report or regulatory return
• A consulting or internal-consulting background, with clear evidence of getting up to speed on unfamiliar finance processes quickly and driving structured problem solving independently
• The ability to translate finance needs into requirements technology and product teams can build from
• In-house operating experience after consulting, ideally in a fast-moving scale-up or comparably autonomous environment
• Exposure to financial services, energy, leasing, billing, securitisation or other complex finance and operational systems
• Finance process improvement, workflow automation, data analytics, SQL or low-code automation experience - enough to have a real conversation with engineers and data people
• Practical AI literacy - you've used AI tools to improve real processes, not just trialled them
• A track record of building processes and operating models, not only producing recommendations