Act as a Proxy Product Owner: translate business needs into user stories and technical specifications for Data Scientists.
Manage the delivery cadence: sprint planning, backlog management and quality control of deliverables.
Conduct market analyses, benchmarks and ROI modeling to justify AI investments.
Prepare and facilitate workshops to drive adoption of solutions by client teams (awareness, ideation, user testing).

Requirements

Master's degree or equivalent, with 2 to 4 years' experience in Data strategy, consulting, or as a Product Owner in a tech scale-up.
Solid understanding of the Data ecosystem (Cloud, API, GenAI) to communicate effectively with Data Scientists.
Proficiency in Excel and PowerPoint, with the ability to distill complex information into clear messages.
Practical, hands-on mindset: able to operationalize strategy, learn quickly and own deep-tech and Sovereign AI topics.

Benefits

Strategic role in a European AI pure player
Direct involvement in high-visibility projects and adoption of sovereign solutions
Collaboration with experienced teams in Data, AI and consulting

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

user storiestechnical specificationssprint planningbacklog managementquality controlmarket analysisROI modelingData strategyCloudAPI

Soft Skills

communicationfacilitationproblem-solvingadaptabilitystrategic thinking

Certifications

Master's degree