Senior Data Product Owner – Data Platform

Next Ventures; Paris; On-site; EUR 90,000 - 120,000; Full time

Job summary

Next Ventures in Paris is seeking a Senior Data Product Owner to drive the Data Platform, designing data-centric services and aligning operational and analytical needs. You will own the product backlog, write user stories, and guide the Scrum team through delivery.

The role requires strong SQL skills, experience with data modeling, APIs, and data governance collaboration to ensure high-quality data products and reliable data exposure across the organization.

Qualifications

• Experience owning data platform products and roadmaps.
• Ability to write technical and functional specifications.
• Strong SQL skills and data modeling understanding.
• Proven agile backlog management and sprint planning.

Responsibilities

• Design solutions for data platforms and define scope.
• Lead analysis and write user stories for the backlog.
• Prepare acceptance criteria and coordinate with the Scrum team.
• Model business objects on the Big Data platform.
• Specify data ingestion, APIs, and interface contracts.
• Collaborate with Data Governance on data exposure and models.
• Manage enhancements and defects reported by data consumers.

Skills

Data product ownership

Agile product management

Stakeholder communication

SQL proficiency

Backlog management

Tools

SQL

APIs

Data visualization

Job description

Senior Data Product Owner – Data Platform

Assignment description

The Data Platform designs and develops data-centric digital services to provide teams with reliable data accessible through APIs, simplify and accelerate analytical processing, and promote alignment between operational and decision-making systems.

Responsibilities:

• Design solutions.
• Lead analysis and define the scope.
• Write technical and functional specifications.
• Prepare acceptance testing.
• Monitor implementation with the Scrum team.
• Model business objects within the domain on the Big Data platform.
• Specify data ingestion flows, delivering interface contracts and mapping specifications.
• Design data exposure services, including web services and database models, in collaboration with the Data Governance team.
• Take responsibility for the functional aspects of the assigned data domain.
• Manage enhancement requests and defects reported by data consumers.
• Fulfil Agile responsibilities: manage the product backlog, define user stories, lead sprint planning and facilitate the Agile team’s activities.

Technical environment and required expertise

• Design data solutions and scope requirements.
• Write technical and functional specifications.
• Prepare acceptance testing and oversee implementation with the Scrum team.
• Model business objects within a Big Data foundation (MDD).
• Specify data ingestion flows and interface contracts.
• Design data exposure mechanisms, including APIs and database models, with Data Governance.
• Ensure functional consistency across the data domain.
• Build the data product roadmap.
• Ensure consistency across other data products.
• Manage data quality through dashboards and technical debt tracking.
• Assess and document data to give it meaning and context.
• Engage the data community and act as the link between business and IT.
• Manage enhancements and defects reported by users.
• Manage the product backlog and define user stories.
• Facilitate Agile ceremonies, including sprint planning and team progress reviews.
• Manage a portfolio of data projects and their lifecycles.
• Report progress to programme managers or data product leads.
• Work directly with data using advanced SQL, files, APIs and data visualisation.
• Query SQL databases and consume web services.
• Maintain a strong technical understanding of the data ecosystem.

Methods, organisation and interactions

• Communicate clearly and effectively in written and spoken French to ensure smooth interaction with business stakeholders and teams.
• Analyse situations and propose appropriate solutions while identifying opportunities for improvement.
• Meet deadlines while maintaining high standards of quality and excellence.
• Collaborate actively with team members, share knowledge and encourage teamwork to achieve common goals.
• Apply a continuous improvement mindset to optimise practices and results.