Finance Transformation Manager — M-KOPA

M-Kopa

26d•Remote

About The Position

M-KOPA is seeking a Finance Transformation Manager who possesses a unique blend of technical expertise and financial acumen. This role is for an individual who can not only conceptualize AI solutions but also implement and manage them within a real-world financial context, specifically within M-KOPA's finance function. The position involves working with systems like Microsoft Dynamics and Anaplan, and leveraging AI tools such as Claude to improve efficiency and accuracy in financial processes. The company is experiencing rapid growth and requires a finance function that operates leaner and smarter, moving beyond manual reconciliation and reporting drag. This role is crucial for closing the gap between current capabilities and the demands of scaling operations, ensuring the finance systems can support M-KOPA's ambitious growth targets.

Requirements

Demonstrable experience deploying AI systems (like Claude) in a real business context.
Experience with prompt design, workflow automation, and API integration for AI systems.
Proven ability to build AI solutions that run in production.
Experience with Dynamics-style integration.
Strong technical foundation to understand data models and trial balances.
Exceptional learning aptitude.
Proven ability to apply AI and engineering thinking to complex financial and accounting scenarios.
Working knowledge of how audit works in practice.
Experience mining and structuring data for external and internal audit processes.
Experience following through on remediation of audit findings.

Responsibilities

Deploying AI systems (like Claude) in a business context, including prompt design, workflow automation, and API integration.
Building and implementing AI-driven solutions to replace manual reconciliation work.
Deepening the integration between AI tools (Claude) and financial systems (Microsoft Dynamics).
Designing agents and workflows to automate financial processes.
Owning the end-to-end result of implemented AI solutions.
Integrating financial systems such as Dynamics and Anaplan.
Troubleshooting discrepancies between financial systems.
Building AI agents to reduce reconciliation time.
Coaching the finance team on the use and trust of AI tools.
Acting as a liaison between the finance and engineering teams.
Ensuring data integrity and a single source of truth across the finance stack.