DataProductManager

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 Training-serving parity; Model release and promotion standards; Deployment patterns (batch and real-time); Observability and monitoring. Enable Scalable Machine Learning Operations Improve and standardize how models move from development to production, reducing manual effort and increasing reliability. Ensure platform capabilities provide clear ownership, consistent practices, and strong operational visibility. Drive adoption of shared platform components across multiple data science teams and markets. What you'll need: Bachelor’s degree in Engineering, Computer Science, Mathematics, Statistics, or a related technical field — or equivalent practical experience Relevant years of professional experience with a strong technical foundation Hands-on experience as a data scientist, machine learning engineer, or software engineer is strongly preferred Experience working on complex, cross-functional technical problems involving data and platform systems Fluency in English (required) Portuguese or Spanish is a plus Strong written and verbal communication skills Comfortable discussing technical architecture, workflows, and trade-offs in depth; Advanced communication skills in English (written and spoken); Python (required): ability to read, understand, and reason about pipeline and platform code; discuss implementation trade-offs with engineers SQL (required): ability to run independent investigations to validate data, features, and metrics; Strong fluency in Machine Learning lifecycle and MLOps topics (e. g. Model training, evaluation, and experimentation; Monitoring, drift detection, a