Data Platform Product Owner for AI & Analytics

Lenstra; Paris; Hybride; EUR 48 000 - 80 000; Plein temps

Avantages offerts par ce poste

Salary 48k–80k EUR gross annually

Meal vouchers 50% covered

Paris onsite 3 days / remote 2 days

Résumé du poste

Lenstra in Paris is seeking a Data Platform Product Owner to own the vision, roadmap, and delivery of large-scale data platforms at client IT ecosystems.

You will work hands-on with engineers, data scientists, and architects to design and evolve a data platform used by 100+ consultants, building enterprise-grade foundations that balance scalability, reliability, and usability. You will extend the platform to support agentic AI tooling on top of a solid data foundation.

Qualifications

• Must have experience as a Product Owner/PM for data platforms at scale.
• Strong grounding in data architectures and ability to read code.
• Proven track record translating business needs into platform roadmaps for large users.
• Proficient with JIRA/Confluence and agile practices.
• Excellent communication to align engineers, data scientists, architects and stakeholders.

Responsabilités

• Own vision, roadmap and delivery of large-scale data platforms.
• Collaborate with engineers, data scientists and architects to design and evolve a data platform used by 100+ consultants.
• Build enterprise-grade data foundations serving hundreds of users with scalability and reliability.
• Extend platform to support agentic workflows and AI tooling on top of the data foundation.
• Translate business needs into clear technical priorities and trade-offs.

Connaissances

Data platforms PO/PM

Data architectures

Stakeholder management

JIRA

Confluence

Agile

Communication

Outils

JIRA

Confluence

Description du poste

Lenstra in Paris is seeking a Data Platform Product Owner to own the vision, roadmap, and delivery of large-scale data platforms at client IT ecosystems.

You will work hands-on with engineers, data scientists, and architects to design and evolve a data platform used by 100+ consultants, building enterprise-grade foundations that balance scalability, reliability, and usability. You will extend the platform to support agentic AI tooling on top of a solid data foundation.