Data Product Owner F/H

Why Catalina?

At Catalina, we understand that our success is the result of the talent and commitment of our people. When you join the Catalina team, you will be part of an inclusive environment that embraces flexibility, community involvement, work‑life balance and opportunities for professional growth.

The Opportunity

As a Data Product Owner reporting to a Data Product Manager, you are responsible for the design, prioritisation and delivery of data products at the core of Catalina’s Data Platform.

You play a key interface role between business teams (Marketing, Consulting, Analytics, Product) and data teams (Data Engineering, Data Platform, BI), transforming business needs into reliable, scalable and widely adopted data products.

Your main objective

• Create business value through data by delivering data products that are reliable, documented and industrialised.
• Data products must be compliant with data quality, governance and regulatory requirements.
• Data products must be actively used by business teams.

Product ownership & delivery

• Build, maintain and prioritise the data product backlog (epics, user stories, data contracts).
• Write clear and actionable product specifications (light PRDs, acceptance criteria, data examples).
• Plan and manage deliveries with Data Engineering, Data Platform, and BI teams.
• Facilitate Agile ceremonies (backlog refinement, sprint planning, reviews, retrospectives).
• Validate data schemas, data exchange contracts and transformation rules.
• Validate deliverables before production and coordinate integration testing, business validation and production releases.
• Ensure the scalability of data products.

Data quality, governance & reliability

• Contribute to data quality processes (controls, deduplication, reconciliation, remediation).
• Participate in defining and enforcing data modelling standards and data contracts.
• Ensure consistency, traceability and evolvability of data products.

Adoption & business value

• Collect, analyse and challenge business requirements.
• Support deployment and onboarding of end users.
• Measure adoption, user satisfaction and business impact of data products.
• Continuously iterate based on real usage and feedback.

Vision & roadmap

• Contribute, alongside the Data Product Manager, to building the data roadmap and aligning business priorities with data platform capabilities.

Examples of data products you will work on

• Golden data model: structuring and evolving the unified customer master data.
• Data ingestion pipelines for transactional, shopper, offer and product data.
• Data contracts and analytical models for Analytics and BI teams.
• Self‑service BI products for business and consulting teams.
• Data quality, freshness and adoption metrics embedded in the data platform.

Qualifications

• Minimum 5 years of experience in data product or data project management.
• Experience in complex data environments (high volumes, multiple sources, strong business constraints).
• Ability to act as a bridge between business stakeholders and technical teams.
• Excellent communication and ability to simplify complex topics.
• Analytical, structured and problem‑solving mindset.
• Strong cross‑functional leadership: ability to engage, arbitrate and make decisions.
• Autonomous, detail‑oriented and well‑organised.
• Understanding of both functional and technical data challenges.
• Ability to speak “data” with technical teams and “business value” with business stakeholders.
• Strong understanding of data models, data marts and golden data models.
• Advanced SQL skills (analysis, data quality checks, reconciliations).
• Good knowledge of modern data environments: Snowflake (or equivalent), data pipelines/ETL (dbt, Talend, Kotlin…), Kafka.
• Solid experience with Agile and Scrum methodologies.
• Strong backlog management and data‑oriented acceptance criteria definition.
• Ability to prioritise based on business value (impact/effort/risk).
• Comfortable writing functional specifications and data contracts.

Total Rewards

• Future workplace: Boulogne‑Billancourt (Marcel Sembat).
• Contract: Permanent contract.
• Remote work: Up to 3 days per week.
• Benefits: 1 RTT per month, company benefits (CE), Swile restaurant card, coverage of 2/3 health insurance, team‑building events, happy hours, fruit baskets, unlimited coffee.

Recruitment Process

• 1st interview with the recruitment team.
• 2nd interview with the Data Product Manager and Chief Product Officer.
• 3rd interview with the Data Engineering Manager.

All duties and responsibilities are essential job functions and may be modified at any time. They may also be modified at the company’s discretion to accommodate individuals with disabilities.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity, national origin, citizenship status, protected veteran status, genetic information or physical and mental disability.