Data Product Owner

As a Data Product Owner, reporting to a Data Product Manager, you are responsible for the design, prioritization, 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 industrialized
• Compliant with data quality, governance, and regulatory requirements
• Actively used by business teams
• Responsibilities

Product ownership & delivery

• Build, maintain, and prioritize 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 modeling standards and data contracts
• Ensure consistency, traceability, and evolvability of data products

Adoption & business value

• Collect, analyze, 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

• 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-organized
• You understand both functional and technical data challenges
• You can speak "data" with technical teams and "business value" with business stakeholders

Data skills (product-level)

• 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

Product & delivery skills

• Solid experience with Agile / Scrum methodologies
• Strong backlog management and data-oriented acceptance criteria definition
• Ability to prioritize based on business value (impact / effort / risk)
• Comfortable writing functional specifications and data contracts

• Contract: Permanent contract
• Remote work: Up to 3 days of remote work per week
• Benefits: 1 RTT (reduced working time) per month, company benefits (CE), Swile restaurant card, coverage of 2/3 of health insurance, associative engagement day, as well as numerous team-building events, happy hours, fruit baskets, unlimited coffee…

Recruitment Process

• Interview 1 with the recruitment team
• Interview 2 with Data Product Manager and Amandine, Chief Product Officer
• Interview 3 with Data Engineering Manager

Catalina Marketing France SAS; company affiliated with Catalina Marketing Corporation (*) Why Catalina? At Catalina, we understand that our success is the result of the talent and commitment of our people. Our guiding principles set the stage for winning in the markets we serve, and our potential is powerful. When you join the Catalina team, you will be part of an inclusive environment that embraces flexibility, community involvement, work-life balance as well as opportunities to grow professionally., Catalina is a leader in shopper intelligence and precisely targeted in-store, TV and digital media that personalizes the shopper journey. Powered by an unrivaled real-time shopper database and AI-optimized data science, Catalina helps retailers, CPG brands and agenciesoptimizeevery stage of media planning,executionand measurement to deliver more than$6 billionin consumer value annually. Catalina has no higher priority than ensuring the privacy and security of the data entrusted to the company andmaintainingconsumer trust. Catalina has operations in the United States, CostaRicaand Europe. To learn more, please visitwww.catalina.comor follow us onLinkedIn. We are committed to investing in, empowering, andretaininga more inclusive community within our company. We are dedicated to hiring the best and brightest from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has a seat at the table and a voice to be heard. Our goal is to ensure that all our talented professionals are equipped with support, resources, and the opportunity to excel.