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 role
As 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 style
- Complexity-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 requirements
Must-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