Finance Transformation Manager - M-KOPA

About the role

You will own the end-to-end design and delivery of a finance transformation that turns AI from a side project into the central nervous system of our close, reporting, and audit workflows. You will define what a reliable source of truth looks like across Dynamics and Anaplan and then build the integrations and agents that make that definition real. You will partner directly with finance and engineering to replace manual, error-prone steps with automated, auditable flows that actually get used. You will be the primary owner of production Claude agents that reconcile, explain variances, and surface insights to business users without constant human intervention. You will translate messy real-world close requirements into clean technical specifications that engineering can execute against. You will measure the impact of each transformation in terms of time saved, risk reduced, and data quality improved. You will be the person who knows why a number changed, how it moved through systems, and who can defend that story to both internal stakeholders and external auditors.

Key facts

What you'll do

Design and deliver a scalable finance transformation roadmap that aligns our Dynamics and Anaplan estate with AI-first operating models.

Own the end-to-end close process, identifying manual steps and replacing them with automated workflows that preserve a complete, trusted audit trail.

Build and maintain production-grade integrations between Microsoft Dynamics, Anaplan, and AI services such as Claude, ensuring data integrity and traceability.

Create and govern a single source of truth across the finance stack, resolving discrepancies between systems before they reach reporting.

Implement agents and automation that materially reduce reconciliation time, materially improving cycle speed without sacrificing control.

Partner with finance leaders to translate business problems into technical specifications that engineering and data teams can execute.

Own the quality and reliability of financial data, defining monitoring, alerting, and remediation processes for anomalies.

Collaborate with internal audit and external auditors to ensure controls are evidence-based, testable, and continuously improving.

Champion the use of AI as infrastructure, not experiment, embedding it into standard finance operations in a responsible, explainable way.

Coach and enable the finance team to adopt new tools and workflows, driving cultural change toward data-driven decision-making.

Define and track transformation metrics, showing impact in time saved, cost reduced, and risk mitigated across the close cycle.

Work cross-functionally with product, data, and engineering to prioritize initiatives that unlock scalable, repeatable finance capabilities.

Maintain a pragmatic balance between speed and control, delivering quick wins while establishing durable foundations.

Continuously scan the market for tools, patterns, and best practices that can be adapted to accelerate our journey.

Requirements

You have demonstrable, production experience deploying Claude or a comparable AI system in a business context, including prompt design, workflow automation, API integration, and artefacts that run in production.

You possess a technical foundation strong enough to read a data model and a trial balance in the same afternoon, with the learning agility to apply AI and engineering thinking to complex financial and accounting scenarios.

You have working knowledge of how audit works in practice, including mining and structuring data for external and internal audit processes and following through on remediation of findings.

You are fluent in the language of finance and comfortable in close, month-end, and regulatory reporting environments.

You have experience working with enterprise resource planning systems such as Microsoft Dynamics in a multi‑entity, multi‑currency context.

You understand data modeling well enough to navigate Anaplan or similar planning platforms and to insist on disciplined data practices.

You have a track record of owning end-to-end delivery in ambiguous environments, balancing stakeholder needs, technical constraints, and deadlines.

You communicate clearly with both technical and non-technical audiences, translating complex topics into practical actions.

Nice to have

Experience with agentic automation frameworks and MLOps practices relevant to managing AI workflows at scale.

Deep prior work in a highly regulated industry where controls, auditability, and documentation are non-negotiable.

Background implementing finance transformations in growth-stage, technology-driven businesses.

Practical notes

This role is full_time and remote or based in any of our operating markets; we measure outcomes, not location.

There is no specified travel requirement or visa sponsorship mentioned in this description.

No explicit compensation or official apply page is included in this source material.