Data Product Manager

• Translate the global Fintech Data Product strategy into actionable initiatives, epics, and requirements across BNPL and digital payments products
• Collaborate with Data Analytics, Data Engineering, and Data Science leaders to prioritize and deliver scalable data products supporting more than 10 global markets
• Partner with Product Managers and Software Engineering teams to define workflows, data contracts, and requirements for data-driven applications
• Leverage AI tools for product documentation, backlog creation, requirement gathering, and development planning
• Lead product planning ceremonies, including pre-planning, roadmap discussions, backlog refinement, sprint planning, and stakeholder reviews
• Align data product roadmaps with application product teams
• Drive product analytics initiatives by ensuring access to reliable data, KPIs, and insights
• Present product releases, roadmap updates, and business results to global commercial stakeholders
• Translate complex analytical concepts into business value and strategic recommendations
• Partner with Data Governance teams to ensure compliance with global data standards, best practices, and platform guidelines

• Bachelor’s degree in Engineering, Computer Science, Information Systems, Data Science, Systems Analysis, or a related technical field
• Relevant years of experience working with data products, analytics, engineering, data science, or related technical disciplines
• Experience translating business objectives into product requirements, roadmaps, and data-driven solutions
• Strong stakeholder management skills with experience collaborating across Commercial, Product, Data, and Engineering organizations
• Advanced SQL skills
• Hands-on experience with data visualization platforms such as Power BI, Tableau, or similar tools
• Solid understanding of analytics, KPI development, data storytelling, and statistical concepts
• Experience working within Agile product development environments and managing product backlogs
• Fluency in English is required
• Technical foundation in Data Analytics, Data Engineering, or Data Science
• Nice to have: experience with fintech products, digital payments, lending solutions, or financial services data
• Nice to have: knowledge of machine learning concepts, including feature engineering, feature importance, data drift monitoring, and MLOps practices
• Nice to have: experience with Azure, Databricks, or modern cloud-based data platforms
• Nice to have: professional certifications related to Azure, Databricks, Product Management, or Data Analytics
• Nice to have: proficiency in Spanish

• Performance based bonus*
• Attendance Bonus*
• Private pension plan
• Meal Allowance
• Casual office and dress code
• Days off*
• Health, dental, and life insurance
• Medicines discounts
• WellHub partnership
• Childcare subsidies
• Discounts on Ambev products*
• Clube Ben partnership
• Scholarship*
• School materials assurance
• Language and training platforms
• Transport allowance
• Rules applied to marked benefits (*)