Data Product Manager - Grow & Logistics

AB InBev; São Paulo; Hybrid; BRL 250,000 - 420,000; Full time

Benefits offered by this job

Performance bonus

Health insurance

Meal allowance

Private pension plan

Transport allowance

Job summary

AB InBev Growth Group in São Paulo, hybrid, seeks a Senior Data Product Manager to connect business strategy with data engineering and analytics. You will lead a global data product roadmap for BEES GROW and Logistics, guiding multidisciplinary teams and delivering scalable data solutions.

You will translate complex business needs into concrete data products, monitor KPIs, and collaborate with leadership, partners, and regional teams to drive commercial efficiency.

Qualifications

• Experience in data product management, analytics, data science or data engineering.
• Knowledge of data pipelines, data modeling, data quality, SQL and PySpark.
• Experience leading multidisciplinary teams and working in agile squads.
• Ability to translate complex business problems into technical and analytical solutions.
• Strong communication skills with technical and non-technical audiences.
• Experience managing senior stakeholders, commercial teams, country teams, external partners, or global business units.
• Fluent English; Spanish desirable.

Responsibilities

• Lead the global data product strategy for BEES GROW and Logistics.
• Manage a multidisciplinary team of Data Engineers, Data Scientists, and Data Analysts.
• Define and prioritize the squad roadmap and backlog, and lead discovery and delivery routines using agile methodologies.
• 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.
• Ensure the quality, scalability, documentation, monitoring, and governance of data pipelines.
• Translate business needs into actionable data products for countries, partners, and global teams.
• Define, monitor, and communicate success KPIs related to area performance, model accuracy, agent productivity, execution of model recommendations, and commercial efficiency.
• Work closely with senior leadership, business and technology teams, commercial operations, country teams, and external partners.
• Identify opportunities to improve service models considering local market dynamics, customer segments, costs, and business value.

Skills

Data product management

Analytics

Data science

Data engineering

Agile methodologies

Stakeholder management

Communication

Fluent English

Tools

SQL

PySpark

Job description

About us

AB InBev is the leading global brewer and one of the world’s top 5 consumer product companies. With over 500 beer brands, we’re number one or two in many of the world’s top beer markets, including North America, Latin America, Europe, Asia, and Africa.

About AB InBev Growth Group

Created in 2022, the Growth Group unifies our business-to-business (B2B), direct-to-consumer (DTC), Sales & Distribution, and Marketing teams. By bringing together global tech and commercial functions, the Growth Group allows us to fully leverage data and drive digital transformation and organic growth for AB InBev around the world.

In addition to supporting well known global beer brands like Corona, Budweiser and Michelob Ultra, the Growth Group is home to a robust suite of digital products including our B2B digital commerce platform BEES, on-demand delivery services Ze Delivery and TaDa Delivery, and table top beer keg PerfectDraft.

We are an exceptional team, focused on understanding and supporting consumer and customer needs, harnessing new technology, and scaling growth opportunities.

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:

• Lead the global data product strategy for BEES GROW and Logistics.
• Manage a multidisciplinary team of Data Engineers, Data Scientists, and Data Analysts.
• Define and prioritize the squad roadmap and backlog, and lead discovery and delivery routines using agile methodologies.
• 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.
• Ensure the quality, scalability, documentation, monitoring, and governance of data pipelines.
• Translate business needs into actionable data products for countries, partners, and global teams.
• Define, monitor, and communicate success KPIs related to the area’s performance, model accuracy, agent productivity, execution of model recommendations, and commercial efficiency.
• Work closely with senior leadership, business and technology teams, commercial operations, country teams, and external partners.
• Identify opportunities to improve service models, taking into account local market dynamics, customer segments, costs, and business value creation

What you’ll need:

• Relevant experience in data product management, analytics, data science, or data engineering.
• Practical knowledge of data pipelines, data modeling, data quality, SQL, and PySpark.
• Experience leading multidisciplinary teams and working in agile squads.
• Ability to translate complex business problems into technical and analytical solutions.
• Strong communication skills with technical and non-technical audiences.
• Experience managing senior stakeholders, commercial teams, country teams, external partners, or global business units.
• Knowledge of telesales operations, Route to Market, and commercial productivity is desirable.
• Fluent English is required; Spanish is desirable.
• Location: São Paulo Hybrid (3x)

What We Offer:

• 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

Equal Opportunity & Aff

AB InBev Growth Group is proud to be an Equal Opportunity and Aff… we do not discriminate based upon of race, color, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other applicable legally protected characteristics.

The following fields are optional, but anticipate the information for your registration*.

Remember: your data will never be used as elimination criteria in selection processes. With them, AB InBev Growth Group is able to analyze diversity and reduce biases in selection processes. We want to contribute to changing this reality by being an inclusive company.

For more information: www.abinbev.com