Data Product Manager

🔥 1 hour ago

🇧🇷 Brazil – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

✅ Product Manager

👻 Ghost score 11%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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AB InBev

WebsiteLinkedInAll Job Openings

10,000+ employees

🏨 Hospitality

📣 Marketing

✈️ Travel

Hospitality • Marketing • Travel

AB InBev is a global brewing company known for its extensive portfolio of over 500 beer brands, including iconic global and local names. Committed to sustainability and responsible drinking, the company has a heritage spanning more than 600 years. AB InBev continually seeks innovation in brewing and serves to celebrate beer as a beverage of moderation.

📋 Description

• 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

🎯 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 • 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

🏖️ Benefits

• 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 (*)