About this role
About BEES
Join us to build the future of B2B commerce! BEES is AB InBev’s B2B platform. Through our ecosystem, merchants and retailers across 29 countries can stock their businesses quickly, easily, and securely. At BEES, we dream big, lead with purpose, and develop technology that transforms the way retailers and sellers grow. Every line of code and every partnership is built in service of a single mission: to make commerce better for retailers and sellers around the world. Here, your work is not just important. It makes a difference!
About the Role
This person will connect business strategy, data engineering, data science, and analytics to develop scalable solutions that improve customer service through frontline telesales and logistics agents.
The scope includes initiatives such as using intelligence to determine which customers agents should contact and which tasks they should prioritize; monitoring call execution and agent productivity KPIs; recommending order values and delivery dates; and monitoring orders with flexible delivery dates and the amounts charged for delivery.
The successful candidate combines strong analytical and technical skills with product leadership, agile execution, stakeholder management, and the ability to lead large multidisciplinary teams.
What you'll do
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Lead the global data product strategy for BEES GROW and Logistics.
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Manage a multidisciplinary team of Data Engineers, Data Scientists, and Data Analysts.
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Define and prioritize the squad roadmap and backlog, and lead discovery and delivery routines using agile methodologies.
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Develop and evolve data products such as prioritization algorithms, visit models, global databases of point-of-sale attributes, and KPIs for monitoring agents and delivery dates.
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Ensure the quality, scalability, documentation, monitoring, and governance of data pipelines.
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Translate business needs into actionable data products for countries, partners, and global teams.
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Define, monitor, and communicate success KPIs related to the area’s performance, model accuracy, agent productivity, execution of model recommendations, and commercial efficiency.
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Work closely with senior leadership, business and technology teams, commercial operations, country teams, and external partners.
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Identify opportunities to improve service models, taking into account local market dynamics, customer segments, costs, and business value creation
What you'll need:
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Relevant experience in data product management, analytics, data science, or data engineering.
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Practical knowledge of data pipelines, data modeling, data quality, SQL, and PySpark.
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Experience leading multidisciplinary teams and working in agile squads.
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Ability to translate complex business problems into technical and analytical solutions.
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Strong communication skills with technical and non-technical audiences.
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Experience managing senior stakeholders, commercial teams, country teams, external partners, or global business units.
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Knowledge of telesales operations, Route to Market, and commercial productivity is desirable.
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Fluent English is required; Spanish is desirable.
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Location: São Paulo Hybrid (3x)
What We Offer
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Performance based bonus*
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Attendance Bonus*
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Private pension plan
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Meal Allowance
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Casual office and dress code
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Days off*
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Health, dental, and life insurance
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Medicines discounts
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WellHub partnership
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Childcare subsidies
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Discounts on Ambev products*
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Clube Ben partnership
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Scholarship*
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School materials assurance
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Language and training platforms
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Transport allowance
*Rules applied