Search the 47 jobs at AB InBev

As a Mobile Architect at AB InBev, you'll guide technical design and manage a full stack team with a focus on frontend engineers for mobile and web. You'll partner with business stakeholders to deliver solutions in the BEES application, mentor teams, and ensure best practices in development, all while putting customers first in a dynamic environment.

The Engineering Coordinator will lead technical discussions, propose technical solutions, and ensure code quality while collaborating with a global team. Responsibilities include software deployment, process automation, and maintaining documentation. The role requires solid experience in software architecture and design principles along with a strong analytical mindset.

The Global Brands Insights Manager at AB InBev will provide consumer insight-driven recommendations, analyze research and commercial data, manage relationships with research agencies, and drive analytics initiatives to support strategic brand decisions.

In this role, you will lead a backend development team at AB InBev, ensuring timely delivery of high-quality applications. Responsibilities include managing team performance, collaborating with cross-functional teams, mentoring, and staying current with industry trends to enhance team capabilities.

The BI & Data Visualization Analyst at AB InBev focuses on creating reports and dashboards to provide insights into platform costs. The role involves statistical analysis, data integration, and development of data visualizations primarily using Power BI. The analyst will collaborate with cross-functional teams to address data-related inquiries, ensuring dashboards are user-friendly and communicate insights effectively.

Assist the Product Marketing Manager in developing strategies for BEES Fintech, conducting customer research, utilizing data insights for product positioning, and collaborating with various teams to monitor performance and build product strategy.

As a Catalog Taxonomy Analyst, you will manage catalog information for BEES Customer, ensuring accuracy and accessibility. You'll implement taxonomy guidelines, collaborate with teams to audit categorizations, and maintain catalog integrity. Your role involves reviewing product information requests and contributing to catalog evolution by staying updated on best practices to enhance user satisfaction.

As a Global Customer Satisfaction Manager, you will optimize the customer satisfaction strategy globally, oversee the NPS survey process, monitor customer feedback, collaborate with cross-functional teams, and present data and insights to C-level leadership to improve customer experiences.

As a Senior Product Designer at TaDa, you'll lead and execute the vision for a digital customer experience, collaborating with engineering and product management. Responsibilities include guiding the design process, managing the product design roadmap, and improving user experiences through iterations and strategic artifacts.

The Planning and Performance Global Specialist will ensure the monthly closure of commercial KPIs, assist with budget management, analyze data for customized reports, maintain data integrity in dashboards, and suggest improvements to data accuracy.

The Digital Communications Support Specialist will provide technical support and customer service related to digital communication and CRM strategies. This role involves troubleshooting issues, executing campaigns, and analyzing performance metrics using data to suggest improvements. The position collaborates with internal teams and trains others on digital communication tools.

As a Senior Data Scientist at BEES, you will develop innovative solutions for complex business challenges using machine learning and deep learning algorithms. You'll work with large datasets on cloud platforms to deliver scalable solutions and collaborate with cross-functional teams to drive AI strategy.

As a Data Scientist at BEES, you will develop and implement machine learning algorithms for portfolio optimization, recommendations, and insights discovery. Collaborate with cross-functional teams to analyze datasets, leverage cloud platforms for big data processing, and automate workflows to enhance productivity.

The Senior Data Engineer will lead the development and maintenance of data services and solutions for BEES. Responsibilities include designing data models, improving system architecture, developing data processing pipelines, and creating data products to meet operational needs. The role also involves monitoring and ensuring the accuracy of data quality processes.

This role involves managing customer behavior data across multiple channels and utilizing analytics to generate insights for business decisions. The specialist will develop data pipelines, ensure data governance, and support product teams with integrated data solutions. They will also conduct experiments and continuously improve data practices within the Growth Group.

The E-commerce Taxonomy Specialist will lead the taxonomy area, overseeing project lifecycle from planning to maintenance. Responsibilities include project management, coordinating with cross-functional teams, data management, and ensuring accurate product taxonomy for improved customer experience. Will collaborate with BI teams and external vendors.

The Technical Account Specialist ensures partners effectively use the BEES system by providing technical support and resolving issues. They collaborate with Key Account Managers to address technical requirements, oversee the installation and operation of tools, and maintain strong partner relationships through effective communication.

The Principal Product Manager for Generative AI will lead the strategic adoption of generative AI within the organization, collaborating with various teams to define and implement use cases, training, and managing communications regarding changes. The role involves tracking adoption, collecting feedback, organizing training materials, and staying updated on trends in generative AI.

As a Backend Developer at AB InBev, you will contribute to feature development and maintenance of a global product, work with cross-functional teams on tool development for automation, ensure adherence to best practices, and create quality strategies supporting delivery goals.

The Data Engineer will support the development of scalable data pipelines, work collaboratively with other engineers, and participate in enterprise data governance. Key responsibilities include optimizing data processes, managing metadata, and partnering with various stakeholders to deliver high-quality engineering solutions in a fast-paced environment.