Lenstra was founded by engineers with a passion for Computer Science and a track record of delivering high-quality solutions. We work at the intersection of Software Development, DevSecOps, Data & AI, and Product, helping top-tier clients in Banking & Insurance, Luxury, and Technology solve their hardest technical challenges. Our team takes a holistic approach to each client's environment, building solutions that are as elegant as they are impactful.About the roleAs a Data Platform Product Owner, you'll own the vision, roadmap, and delivery of large-scale data platforms that sit at the core of our clients' IT ecosystems.You will own the vision, roadmap, and delivery of large-scale data platforms powering analytics and data-driven decision-making across the organisation.You will work hands-on with engineers, data scientists, and architects to design and evolve a data platform used by 100+ consultants.You will build enterprise-grade data foundations serving hundreds of users, balancing scalability, reliability, and usability.You will extend the platform to support agentic workflows and AI tooling — enabling agents to query, transform, and act on platform data. This is a growing part of the role, not the starting point: the data foundation comes first, agentic capability builds on top of it.You will translate business needs into clear technical priorities, making informed trade-offs grounded in a solid understanding of data architectures and code. Mindset and working styleComplexity-comfortable. You navigate ambiguity and align user needs with long-term platform strategy without needing a perfect brief.Senior-stakeholder-ready. You can present, negotiate, and hold your ground with senior stakeholders.Hands-on when it counts. You're willing to dive into technical detail, not just coordinate from a distance.Outcome-driven. You care about what ships and gets used, not what gets documented.Technical and experience requirementsMust-have:Proven experience as a Product Owner or Product Manager on data platforms (analytics, data infrastructure, or enterprise data foundations) at scale.Strong grounding in data architectures, with enough technical depth to read code and challenge engineering trade-offs directly.Track record of translating business needs into a platform roadmap and delivery plan for large user bases (100+ users).Proficiency with JIRA, Confluence, or equivalent product management tooling, and a working agile practice.Strong communication skills, able to align engineers, data scientists, architects, and senior stakeholders around a shared roadmap.Nice-to-have:Exposure to agentic AI or LLM-based tooling, ideally applied to data platforms.Experience enabling data platform operations (feature stores, orchestration, model serving) for large teams.What we offer:💰 Salary from 48k to 80k — based on seniority and interview performance, no surprises🍽️ Meal vouchers — 50% covered by Lenstra❤️ Health insurance (mutuelle) — 100% covered🚇 Pass Navigo — 100% reimbursed📍 Paris — 3 days onsite / 2 remote🔄 3-step process: intro call → technical interview → partner chat