AB InBev | Growth Group - Data Product Manager
Requirements
• 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 and 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. • Experience working with fintech products, digital payments, lending solutions, or financial services data. • Knowledge of machine learning concepts, including feature engineering, feature importance, data drift monitoring, and MLOps practices. • Experience with Azure, Databricks, or modern cloud-based data platforms. • Professional certifications related to Azure, Databricks, Product Management, or Data Analytics. • Proficiency in Spanish.
Responsibilities
• Translate the global Fintech Data Product strategy into actionable initiatives, epics, and requirements that drive business value across BNPL and digital payments products. • Collaborate with Data Analytics, Data Engineering, and Data Science leaders to prioritize and deliver scalable data products that support more than 10 global markets. • Partner with Product Managers and Software Engineering teams to define workflows, data contracts, and requirements for highly data-driven applications. • Leverage AI tools to streamline product documentation, backlog creation, requirement gathering, and development planning processes. • Lead product planning ceremonies, including pre-planning, roadmap discussions, backlog refinement, sprint planning, and stakeholder reviews. • Align data product roadmaps with application product teams, ensuring seamless integration between data capabilities and end-user experiences. • Drive product analytics initiatives by ensuring stakeholders have access to reliable data, KPIs, and insights to support decision-making. • Present product releases, roadmap updates, and business results to global commercial stakeholders, gathering feedback to continuously improve data products. • Act as the voice of data in cross-functional discussions, translating 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.
Benefits
• Performance based bonus* • Attendance Bonus* • Private pension plan • Casual office and dress code • Health, dental, and life insurance • Medicines discounts • WellHub partnership • Childcare subsidies • Discounts on Ambev products* • Clube Ben partnership • School materials assurance • Language and training platforms • Transport allowance • Equal Opportunity & Affirmative Action:
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