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Finance Transformation Manager - (Finance Engineering & AI) - M-KOPA(This is not a traditional Finance Transformation role. We're looking for a technical builder who wants to apply engineering, automation, data and AI to finance.)You've built systems, automated processes, solved technical problems, or turned complex data into something that works better.Now imagine applying that thinking to finance.We're looking for someone who sees reconciliation, reporting, planning, data and financial systems as problems to engineer, not simply processes to manage.You might come from software engineering, data, automation, consulting, ERP, fintech or another technical environment. You don't need to have spent your career in Finance. What matters is that you've built something real, solved a real problem and can show us how you did it.We'd rather hire a strong technical builder who can learn Finance than a traditional finance professional who has never built anything.Where this sitsM-KOPA is one of Africa's fastest-growing fintechs, now serving 7 million customers across five markets and having unlocked over $2 billion in credit.Our Finance function runs on Microsoft Dynamics and Anaplan, increasingly supported by AI tools such as Claude, and we're reaching a point where the opportunity is bigger than simply improving existing processes.We need to make our finance infrastructure more intelligent, automated, reliable and scalable.That's where you come in.You'll sit inside Finance, but operate with an engineering mindset — understanding how our systems, data, processes and controls fit together, identifying where they break down, and building better ways of working.What makes this differentMost Finance Transformation roles are designed for finance professionals who have developed strong technology skills.We're approaching it from the other direction.We're looking for someone with strong technical capability who wants Finance to be their domain.That could mean you're:A software, data, automation or AI engineer who has built production solutions and wants to apply those skills in Finance.A technology or transformation consultant who has designed and implemented systems for clients and enjoys solving complex operational problems.A Dynamics/ERP functional consultant who can go beyond configuration and has demonstrated the ability to build, automate or work with data.A fintech or scale-up engineer who has worked close to Finance and automated areas such as close, reconciliation, reporting or financial data pipelines.A Power Platform, automation or AI builder who has turned manual processes into working solutions.An analytics or data engineer who understands how to make financial data reliable, structured and useful.The common denominator isn't your previous job title. It's what you've built.What we're looking for1. You build thingsYou have hands-on experience creating something that solved a real problem.It could be:An automationAn AI/GenAI workflowAn internal toolA data pipelineAn agentA reporting solutionAn integrationAn ERP solutionA Power Platform applicationA reconciliation processA system or workflow that materially improved how people workIt doesn't have to be built in Claude.It doesn't even have to have been built specifically for Finance.But it must be real.You'll be expected to demonstrate something you've built as part of our interview process.2. You think in systemsYou naturally look beyond the immediate task and ask how the underlying system works.You understand that a problem with a number may actually be a problem with:data → integration → process → system → control → output.You enjoy finding the root cause rather than repeatedly fixing the symptom.3. You're comfortable with technologyWe're particularly interested in experience across areas such as:Software engineeringData engineering / analytics engineeringAI and GenAIProcess automationAPIs and integrationsMicrosoft Dynamics / D365AnaplanPower PlatformWorkflow automationData modelling and transformationBusiness intelligenceERP systemsYou don't need experience across all of these.Depth in one or more, combined with the ability and curiosity to learn the rest, is more valuable than a checklist of technologies.4. You're curious about FinanceYou don't need to arrive knowing every accounting concept.But you do need to be interested in understanding the domain.You'll need to become comfortable with areas such as reconciliation, reporting, planning, financial data, controls, audit and the systems that support them.The expectation isn't that you already know everything.The expectation is that you can learn quickly and then use your technical capability to make the domain work better.What the work looks likeYou'll work alongside the Finance team and across our technology ecosystem, identifying opportunities to improve how Finance operates.Some weeks that might mean investigating why Dynamics and Anaplan disagree on a number and fixing the underlying integration or data flow.Other weeks it might mean building an AI-powered workflow that reduces a two-day reconciliation to two hours.You might redesign a reporting process, build an automated control, improve data integrity, create an internal tool, connect systems, or identify where AI can safely remove repetitive manual work.You'll also work with Finance colleagues who understand the business and accounting requirements deeply.Your role is not to replace that expertise.It's to combine it with engineering thinking to build something better.You'll become the bridge between Finance, Data, Technology and Engineering — someone who can understand the business problem, interrogate the underlying systems and data, and then help build the solution.What we won't compromise onWe're flexible about where your technical capability comes from.We're flexible about whether you've worked in Finance before.We're flexible about whether your AI experience is Claude, another GenAI platform, or something you've built yourself.We're flexible about whether your background is consulting, fintech, technology, engineering or ERP.We are not flexible about whether you can build.If you tell us you've automated something, built an AI workflow, created an integration or solved a complex technical problem, we want to see it.Bring us something you've built.That's one of the first things we'll want to explore with you.Reality checkThis role sits inside Finance, so you'll need to become comfortable with financial concepts, controls and the realities of a live finance environment.You'll also be working in ambiguity.There won't always be a perfect specification. Some systems will be live while you're improving them. Some processes will have existed for years for good reasons. And sometimes the hardest part of automation isn't building the solution — it's getting people to trust it.You'll need to be able to explain technical ideas to Finance professionals, understand why a control matters, challenge existing ways of working constructively and know when automation should not replace human judgement.If you enjoy taking messy problems, understanding how they work and building something materially better, you'll probably enjoy this role.Where you work fromRemote or based in any of our operating markets — capability matters more than location.If you're a technical builder who wants to apply engineering, automation, data and AI to some of the most interesting problems inside a rapidly scaling African fintech, we'd like to meet you.And please bring something you've built.Why M-KOPA?At M-KOPA, we empower our people to own their careers through diverse development programs, coaching partnerships, and on-the-job training. We support individual journeys with family-friendly policies, prioritize well-being, and embrace flexibility.Join us in shaping the future of M-KOPA as we grow together.
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