Head of, Financial Systems Engineering
Mistral AI is hiring a Head of, Financial Systems Engineering for a remote role open to applicants in France. Level rates it ; you can apply on Mistral AI.
Level's read on this job
- Level rates this role Works on AI ●●●○: the daily work is on AI products, without building the model.
- The posting lists this role as remote.
- Tools and skills the posting cites include Python, SQL and data architecture.
- Level classifies it as a lead role.
- Level lists 228 other open roles at Mistral AI.
AI in this role
Lead Mistral's financial systems engineering to build a modern, data-driven and AI-enabled finance technology architecture and operations.
About Mistral
Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms.
We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited.
The RoleAs a Head of Financial Systems, you will shape the future of Mistral’s Finance technology ecosystem.
The role exists to build a modern data, systems and AI-driven finance department that bridges finance, data, and business operations to drive financial performance and strategic decision-making.
You’ll collaborate closely with our CFO, our internal Applied AI resources, and teams like, HR, IT, Legal, and Security to assess current systems, identify gaps, and design a target architecture that supports Mistral’s growth.
Your impact will be felt across the organization, from improving profitability to automating accounting and ensuring reliable financial outputs.
What You Will DoLead the assessment of Mistral’s current Finance technology landscape, including tools, processes, data flows and pain points.
Define and prioritize business, functional, and technical requirements for Finance systems in collaboration with stakeholders.
Design a target Finance tech architecture, outlining system roles, integrations, and data flows and architectures
Develop a data governance framework, including ownership, quality controls, and maintenance processes.
Create and execute a prioritized plan to clean up and rationalize Finance datasets and execute it
Deliver a clear recommendation on the future Finance tech setup, including costs, risks, and a transition roadmap.
Ensure Finance data is migration-ready by addressing quality issues and defining ownership.
Strong project management skills, from defining vision, strategy, and roadmaps, to stelar execution
Engineering academic background, ideally from a tier-1 engineering school
Deep data architecture knowledge, including mastery of data sources, pipelines, storage, transformation, and metadata management, with hands-on experience designing and implementing architectures (e.g., APIs, workflows, BigQuery, DBT).
GenAI power user with Vibe coding skills, automation expertise, and experience building scalable, impactful products in a professional context. Basic coding skills and software development experience are a strong plus.
Experience in Finance technology assessment, system selection, and knowledge of tools such as SAP S4H, Kyriba, Lago, Payflows, etc
Solid financial knowledge, including experience working alongside finance teams, understanding FP&A, accounting, cash management, and procurement, and a strong interest in driving value through process automation and efficiency.
Builder and scaler with experience structuring IT systems (preferably in finance), building and scaling IT teams or departments from the ground up, and operating in multicountry environments.
Proven ability to build tools and processes from scratch to support company growth.
Strong analytical skills to evaluate data quality, consistency, and relevance.
Proficiency in prioritization and the use of performance metrics to drive impact.
What We Offer
We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.
For the most up-to-date details on benefits available in your location, please refer to our Benefits page.
Privacy Policy
Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy.
How we rate this
Head of, Financial Systems Engineering at Mistral AI rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where data architecture was part of your work. What did you do?
- Tell me about a project where financial systems was part of your work. What did you do?
- Tell me about a project where data governance was part of your work. What did you do?
- Tell me about a project where project management was part of your work. What did you do?
- Walk me through how you've used Python in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Data Architecture, Financial Systems, Data Governance, Project Management, and Python. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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