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Lenstra in Paris is seeking a Data Platform Product Owner to own the vision, roadmap, and delivery of large-scale data platforms underpinning analytics and ML initiatives. You will collaborate with engineers, data scientists, and architects to translate business needs into clear technical priorities while balancing scalability, reliability, and usability across enterprise environments.
The role combines hands-on architecture with strategic leadership and requires communicating with senior
Lenstra was founded by passionate computer science engineers with a proven track record of delivering high-quality solutions. By combining technical excellence with a strong vision, we support top-tier clients across industries such as Banking & Insurance, Luxury, and Technology.
Our expertise is structured around four core pillars: Software Development, DevSecOps, Data & AI, and Product. Through a holistic understanding of our clients' environments, we help them address their most complex challenges- from building robust software and secure cloud platforms to designing data-driven solutions that accelerate business impact.
As a Data Platform Product Owner, you will own the vision, roadmap, and delivery of large-scale data platforms that sit at the core of our clients' IT ecosystems. You'll work hands-on with engineers, data scientists, and architects to design and evolve platforms that enable analytics, ML, and data-driven decision‑making at scale.
Your scope will span complex, high‑impact initiatives: from enabling a data and ML platform used by 100+ data scientists, to building enterprise‑grade data foundations that power hundreds of users across an organisation. You will translate business needs into clear technical priorities, balance platform scalability, reliability, and usability, and make informed trade‑offs grounded in a strong understanding of data architectures and code.
This role requires comfort operating in complexity- aligning user needs with long‑term platform strategy, engaging with senior stakeholders, and diving deep into technical details when needed. You'll be measured not by slides produced, but by platforms delivered, adopted, and trusted.