Jobs at AB InBev

The role involves overseeing the global NPS program, driving customer experience improvements, managing a team, and leveraging data analytics and AI solutions to enhance customer satisfaction.

Lead daily support operations and a shift-based team to meet SLAs, manage incidents, and drive continuous improvement. Coordinate stakeholders across Product, Engineering, and Operations, maintain playbooks and KPIs, leverage AI tools to optimize workflows, and report outcomes to leadership.

Coordinate Android (Kotlin) and Java backend teams as Scrum Master, drive on-time quality delivery, define QA strategy, remove impediments, advocate engineering with product/design, and mentor developers.

Manage strategic partners' online operations on the BEES marketplace: set up and maintain partner stores, coordinate cross-functional projects, monitor performance, produce reports and insights, drive commercial execution, and continuously improve processes to optimize partner results.

Own product direction for ML platform capabilities across the end-to-end ML lifecycle. Set vision and roadmap, define standards and tooling, drive adoption with data science and engineering teams, deliver templates/CLIs/workflows, and improve model deployment, observability, and operational practices to enable scalable, reliable ML solutions.

The role involves designing business intelligence solutions in Power BI, utilizing SQL and Python for data analysis, and applying best practices in data visualization.

The Product Strategy Specialist develops product strategy, prioritizes product backlog, collaborates with teams, analyzes data, and drives long-term growth and support for product initiatives.

Develop data-driven solutions for credit risk and underwriting, focusing on machine learning models and production infrastructure while collaborating with cross-functional teams.

The Global Manager, Growth & Planning will oversee strategic planning, market engagement, and commercial projects to drive growth and enhance business performance.

The Data Engineer will implement ETL/ELT solutions, design data pipelines, ensure data security, and optimize data processing systems. Responsibilities include data transformation and compliance collaboration.

Develop and deploy ML and optimization solutions for logistics planning, forecasting, and operational decision-making; build production-grade pipelines; run experiments and monitoring; collaborate with engineers, product, and operations to improve delivery reliability and efficiency.

Build and maintain Power BI dashboards and KPIs, perform advanced SQL analyses, monitor data quality, collaborate with product and data engineering, support metric standardization and CI/CD for BI, and deliver ad hoc analyses to inform business decisions.

Design and implement highly available, fault-tolerant infrastructure and SRE best practices. Collaborate with development teams to ensure reliability, automate operations, build monitoring/observability, lead incident response and post-incident analysis, and evaluate/adopt tooling for cloud, container, and GitOps environments.

Partner with Product, Technology, and CX teams to analyze customer support journeys, identify automation opportunities, build data-driven business cases, define requirements, measure KPIs/OKRs, and support BEES Care strategic roadmap and AI/automation initiatives to improve service quality and scalability.

Design, develop, and maintain scalable Java backend services and RESTful APIs within a microservices architecture. Improve observability, CI/CD pipelines, and containerized deployments (Docker, Kubernetes). Collaborate with cross-functional teams on architecture, testing, and cloud-native deployments to deliver reliable, high-throughput distributed systems.

Lead end-to-end delivery of complex technology projects: define scope, plans, milestones, manage risks and dependencies, drive cross-functional alignment, communicate with senior leadership, and ensure predictable, high-quality outcomes using Agile/hybrid methods.

Design user-centered fintech experiences across the BEES B2B platform. Own product design roadmap, lead UX strategy, run discovery and prototyping, ship end-to-end solutions, facilitate workshops and stakeholder alignment, and champion user needs to balance business goals and customer experience.

Design and maintain end-to-end People Analytics solutions in Power BI; use SQL, Python, and Databricks to prepare and analyze workforce data; create executive dashboards and presentations; translate insights into actionable stories; lead analytics technology projects and collaborate with global HR, IT, Data, and product partners to drive adoption and standardization.

Analyze data and deliver actionable insights for Retail Media. Build and maintain Power BI dashboards, perform SQL and Python analyses, leverage AI tools to scale reporting, present findings to stakeholders, and document methods and processes to support data-driven decisions.

Partner with engineering, product, and ops to define metrics, build reports and lightweight analytics tools, run SQL/Databricks analyses, embed AI-assisted workflows, measure developer/productivity KPIs, and drive process and tooling improvements.