Finance Transformation Manager

NextGenEnergyJobs; Greater London; Hybrid; GBP 70,000 - 110,000; Full time

Job summary

NextGenEnergyJobs is seeking a finance-transformation professional to help build our leasing and billing platform, ensuring securitisation reporting, accounting treatment and day-to-day operational finance. You will translate complex finance processes into clear requirements for engineering and product teams, design end-to-end processes, and hand them over to run reliably.

You will lead the AI deployment (Claude Enterprise) to automate repetitive finance tasks and reduce manual work across

Qualifications

• 4+ years experience in consulting, finance transformation, finance systems, or finance-technology advisory.
• Experience shaping requirements for finance systems connecting billing, accounting, reporting and operational finance.
• Consulting or internal-consulting background with fast learning and independent problem solving.
• Translate finance needs into requirements technology and product teams can build from.
• In-house operating experience after consulting in a fast-moving scale-up or autonomous environment.
• Exposure to financial services, energy, leasing, billing, securitisation or complex finance systems.
• Finance process improvement, workflow automation, data analytics, SQL or low-code automation.
• Practical AI literacy using AI tools to improve real processes.
• A track record of building processes and operating models.

Responsibilities

• Own finance requirements for the leasing and billing platform, supporting securitisation reporting and accounting.
• Translate complex finance processes into clear, testable requirements for engineering and product teams.
• Design end-to-end finance processes and hand them over to run reliably.
• Identify and remove manual BAU work across Financial Operations, Financial Control, FP&A, Credit and Capital Markets.
• Lead deployment of AI (Claude Enterprise) to automate repetitive finance tasks with cost/benefit judgement.
• Work across Finance, Data, Product and Operations on cross-team problems.
• Help drive AI and data literacy across the Finance team.

Skills

Finance transformation

Finance systems

Data analytics

SQL

Low-code automation

Structured problem solving

AI literacy

Engineering collaboration

Consulting experience

Data flow understanding

Tools

Claude Enterprise

Job description

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

Responsibilities

• 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

Requirements

• 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