Senior Product Manager - Data

About the Role

We’re looking for a Senior Product Manager - Data to join our Digital Product Team in Portugal. In this role, you’ll collaborate across all of our brands and markets, championing data-driven decision-making and enhancing our data infrastructure. If you’re excited about creating meaningful impact in a high-growth food-tech environment, this is your chance to join the food revolution!

Key Responsibilities :

• Define Strategy & Roadmap : Shape the vision, objectives, and mid / long-term roadmap of the Data Team, ensuring scalability and compliance.
• Identify Opportunities : Proactively spot areas in the business that could benefit from improved data usage and drive relevant initiatives.
• Drive Data Science Initiatives : Partner with Data Science teams to conceptualize, develop, and implement recommender systems, forecasting models, marketing efficiency models focused on ROI, customer lifetime value prediction models, churn / reactivation predictions, and robust segmentation strategies.
• Explore & Adopt Emerging AI Tools : Evaluate and introduce new AI tools—including those leveraging LLMs—to enhance data-driven insights, boost productivity, and drive innovation throughout the organization.
• Experimentation : Support the framework for A / B testing, multivariate testing, and other experimental setups, ensuring data-driven decision-making across the organization.
• Translate Requirements : Gather stakeholder needs, clarify requests, and convert them into actionable briefs for Data Product and Engineering teams providing valuable business context along the way.
• Prioritize & Coordinate : Manage and prioritize incoming requests based on strategic goals, team capacity, and infrastructure dependencies.
• Cross-Functional Alignment : Collaborate with other Digital Product Managers to ensure data support is seamlessly integrated across different product areas.
• Run Agile Ceremonies : Organize and facilitate key Data Team meetings (Sprint planning, grooming, daily stand-ups, reviews).
• Vendor Management : Oversee external partners for BI, Data Engineering, and Data Infrastructure, including budget and contracts.
• Promote Data Adoption : Advocate for best practices around data usage, maintain the data dictionary, and foster a data-first culture throughout the organization.

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