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BEES

Runs a digital ordering platform for small retailers

Data Product Manager

Technical Product ManagementConfirmed live in the last 24 hours
Full-timeCampinas - State of São Paulo, BrazilIn-person

About the Job

Requirements

  • A bachelor's degree in Engineering, Computer Science, Information Systems, Data Science, Systems Analysis, or a related technical field is required.
  • Relevant years of experience working with data products, analytics, engineering, data science, or related technical disciplines are required; no number of years is specified.
  • Experience translating business objectives into product requirements, roadmaps, and data-driven solutions is required.
  • Experience collaborating across Commercial, Product, Data, and Engineering organizations is required.
  • Advanced SQL skills and hands-on experience with data visualization platforms such as Power BI, Tableau, or similar tools are required.
  • A solid understanding of analytics, KPI development, data storytelling, and statistical concepts is required.
  • Experience working within Agile product development environments and managing product backlogs is required.
  • Fluency in English is required.

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.
  • Use 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.
  • Represent 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.

Desired Qualifications

  • 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.

About the Company

BEES

Runs a digital ordering platform for small retailers

BEES runs a business-to-business commerce platform where small and medium-sized retailers order stock from brewer AB InBev and other consumer brands. AB InBev created it to digitize how its brands reach retailers, and other brand owners and distributors use the same system to run their own sales and delivery. Its connected tools cover ordering, payments, delivery management, customer service and data for management teams. Built-in AI recommends products and offers to each retailer and plans sales visits and delivery routes for field teams. BEES first ran in the Dominican Republic before expanding to other countries, and it is headquartered in Rotkreuz, Switzerland.

Company size
501-1,000
Company stage
Not listed
Total funding
Not listed
Headquarters
Risch-Rotkreuz, Switzerland
Founded
2019

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