Head of Finance Data & Technology
Mistral AI
Head of Finance Data & Technology
Mistral AI
Open-weight LLMs and enterprise AI deployment
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.
As a Head of, Finance Data & Technology, 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.
Lead 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.
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.
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Open-weight LLMs and enterprise AI deployment
Mistral AI builds open-weight large language models and the tools to run them, along with inference infrastructure and enterprise products that let organizations deploy AI with control over data residency, customization, and the underlying stack. Its platform provides open-model architectures and a deployment stack for inference, governance, and integration that can run on‑premises or in the cloud. This openness and modular stack differentiate it from single-vendor hyperscalers by prioritizing data locality and flexibility. The company aims to enable reliable, customizable AI deployment at scale for businesses and public-sector customers across many countries.
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