Data Product Manager - Machine Learning & Computer Vision

Anheuser-Busch InBev
São Paulo
Workplace: HybridFull timeFunction: Data Science & Machine LearningSkills: ["Written communication","Verbal communication","Cross-functional collaboration","Product leadership","Stakeholder management"]

Own the strategy, execution, and adoption of AI-powered computer vision products used across global markets. Partner with LATAM, US, and Mexico commercial stakeholders to drive understanding and new use cases, define quarterly planning and epics, and lead agile delivery with data science, ML engineering, MLOps, and engineering teams. Translate business problems into ML/AI requirements, track model and usage metrics, and communicate roadmaps and impact with clarity.

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Anheuser-Busch InBev
Anheuser-Busch InBev
20 hours ago

Data Product Manager - Machine Learning & Computer Vision

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Source: Company careers pageValidated by: Fursa AI
Last checked: 19 hours agoStatus: Live

Job Summary

Own the strategy, execution, and adoption of AI-powered computer vision products used across global markets. Partner with LATAM, US, and Mexico commercial stakeholders to drive understanding and new use cases, define quarterly planning and epics, and lead agile delivery with data science, ML engineering, MLOps, and engineering teams. Translate business problems into ML/AI requirements, track model and usage metrics, and communicate roadmaps and impact with clarity.
Location: São Paulo
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •Partner with global commercial stakeholders across LATAM, US, and Mexico to enable product understanding, drive adoption, and unlock new computer vision use cases.
  • •Own quarterly product planning with data scientists, data analysts, data engineers, ML engineers, and software engineers, balancing business visibility, technical improvements, and infrastructure evolution.
  • •Execute and deliver a quarterly backlog for high-impact computer vision capabilities with engineering and data teams, including APIs and ML model delivery.
  • •Define epics and high-level requirements (HLRs), leading refinement sessions focused on dashboard visibility, UX, and model behavior/performance.
  • •Lead agile ceremonies and track delivery and performance metrics, producing sprint summaries on productivity, model metrics, and usage/adoption trends.

Pay and Benefits

Perks:Health InsuranceDentalLife InsurancePensionMeal AllowanceDays OffMedicines DiscountsChildcare SubsidiesCommuter BenefitsLanguage TrainingScholarshipPrivate Pension

Key Requirements

  • •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/AI solutions.
  • •Strong written and verbal communication skills to bridge business, engineering, and data science audiences.
  • •Fluent English and Advanced Spanish to collaborate effectively with global teams.
Experience:Machine learningAIComputer visionData science products
Skills:Written communicationVerbal communicationCross-functional collaborationProduct leadershipStakeholder management
Languages:EnglishSpanish
Tech Stack:Machine learningAIComputer visionML lifecycleData preparationTrainingDeploymentMonitoringAPIsDatabasesMLOpsBI visualizationAgile

Company Brief

Anheuser-Busch InBev
A global brewer producing, distributing, and marketing beer and other beverages across hundreds of brands, including Budweiser, Stella Artois and Corona. Operates a vast global supply chain and retail network serving consumers worldwide.
Industry: Food & Beverage
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Leuven, Belgium
Founded: 2008
WebsiteLinkedIn