Head of AI-Driven Finance Systems

Mistral AI

Greater London

On-site

GBP 150,000 - 210,000

Full time

14 days+

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Benefits offered by this job

Healthcare coverage
Parental leave
Relocation support
Wellness programs
Meal and transportation allowances

Job summary

Mistral AI is seeking a Head of Financial Systems to shape and lead the finance technology ecosystem. You will partner with the CFO and internal teams to assess current systems, define requirements, and design a modern, AI-enabled Finance architecture that supports growth and strategic decision-making.

You will drive data governance, implement scalable data and process automation, and deliver a roadmap covering costs, risks, and migration readiness across multi-country operations.

Qualifications

  • Engineering background with strong finance or ERP system knowledge.
  • Experience architecting data, processes and systems for finance.
  • Hands-on with APIs, workflows and data integration.

Responsibilities

  • Lead assessment of Finance tech landscape, processes and data flows.
  • Define requirements with stakeholders for a modern Finance stack.
  • Design target architecture, data flows and integrations.
  • Develop data governance, ownership and quality controls.
  • Plan and execute cleanup of Finance datasets.
  • Provide a roadmap with costs, risks and transitions.
  • Ensure migration-ready Finance data with clear ownership.

Skills

Project management
GenAI power user
Data architecture knowledge
Vibe coding skills
Finance technology assessment
Financial knowledge
Builder and scaler
Analytical skills
Prioritization

Education

Engineering degree or equivalent

Tools

SAP S4H
Kyriba
Lago
Payflows
BigQuery
DBT

Job description

Mistral AI is seeking a Head of Financial Systems to shape and lead the finance technology ecosystem. You will partner with the CFO and internal teams to assess current systems, define requirements, and design a modern, AI-enabled Finance architecture that supports growth and strategic decision-making.

You will drive data governance, implement scalable data and process automation, and deliver a roadmap covering costs, risks, and migration readiness across multi-country operations.

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