Data Product Manager | BEES Personalization

Data Product Manager | BEES Personalization Location: São Paulo (on-site) 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. Role Overview We are looking for Data Product Managers to join our Computer Vision team, playing a critical role at the intersection of business, data science, and engineering. You will own the strategy, execution, and adoption of AI‑powered computer vision products used across global markets. This role requires strong product leadership, fluency in ML‑driven products, and the ability to translate complex technical capabilities into business value for commercial and customer stakeholders. What you’ll do Drive Strategic Alignment Partner with global commercial stakeholders across LATAM, US, and Mexico to enable product understanding, drive adoption, and unlock new Computer Vision use cases. Act as a product evangelist—educating stakeholders on product capabilities, limitations, and roadmap. Provide regular updates to customers and internal stakeholders on product adoption, model performance, and business impact . Plan & Prioritize Own quarterly product planning in collaboration with Data Scientists, Data Analysts, Data Engineers, MLEngineersand software engineers. Balance business visibility , technical improvements , and infrastructure evolution when defining priorities. Continuously assess team capacity and delivery risk to ensure plans are realistic, achievable, and aligned with broader product and business strategy. Execute & Deliver Partner closely with engineering and data teams to execute the quarterly backlog and deliver high‑impact Computer Vision capabilities. Drive delivery of: New Computer Vision use cases, Scalable and secure APIs, State‑of‑the‑art ML models, Comprehensive BI visualization. Define Epics and High‑Level Requirements (HLRs) , leading refinement sessions with a strong focus on: Dashboard visibility, User experience (UX), Model behavior and performance. Lead Agile ceremonies, including daily stand‑ups, sprint planning, reviews, and retrospectives . Track delivery and performance metrics, producing sprint summary reports with emphasis on: Team productivity, Model metrics, Usage and adoption trends. Engage Stakeholders Maintain strong relationships with technical, commercial, and senior leadership stakeholders . Present quarterly roadmaps and progress updates with clarity and confidence. Proactively manage expectations by negotiating scope, timelines, and trade‑offs across internal teams and customers. What you’ll need Proven experience managing data or ML‑driven products, ideally within Data Science Products. Strong understanding of the ML lifecycle, including data preparation, training, deployment, monitoring, and iteration. Ability to translate business problems into technical product requirements for ML and AI solutions. Exceptional written and verbal communication skills, capable of bridging business, engineering, and data science audiences. Fluent English and Advanced Spanish to collaborate effectively with global teams. More about you Solid background in Product Management or Data Product Management, preferably with ML/AI products. Hands‑on experience writing Epics, High‑Level Requirements (HLRs), and technical documentation—documentation is one of your strengths. Foundational understanding of software architecture, including databases, APIs, and ML models. Experience working in Agile environments with highly cross‑functional teams (Data Science, ML Engineering, MLOps, Backend, Frontend). What We Offer Performance based bonus* Attendance Bonus* Casual office and dress code Days off* Health, dental, and life insurance Discounts on Ambev products* School materials assurance Language and training platforms Equal Opportunity & Aff. AB InBev Growth Group is proud to be an Equal Opportunity and Aff. We do not discriminate based upon race, color, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other applicable legally protected characteristics. #J-18808-Ljbffr