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Product Manager – Specialist I, RGM and Demand Products
Grupo BoticárioProduct Manager responsible for leading AI and Data journey in RGM and Demand at Grupo Boticário. Ensuring user adoption of traditional AI capabilities and GenAI technologies in retail operations.
About the role
Key responsibilities & impact- As a PM I, you will be responsible for the Artificial Intelligence and Data journey within the RGM and Demand platform. Your focus will be to ensure that Traditional AI and GenAI capabilities are not only developed but effectively adopted and understood by end users in Sell-in and Sell-out operations.
- AI Journey Leadership: Map and develop the user experience across all interactions with artificial intelligence in GPLAN (from demand forecasts to scenario simulations with GenAI), ensuring the technology addresses real pain points in the planning process.
- Explainability and Trust (Explainable AI): Operate at the intersection of Data Science, Design (UX) and Business teams. You will be responsible for ensuring users understand the reasoning behind algorithmic recommendations, reducing bias from manual intervention (unjustified adjustments to the machine forecast).
- Model Lifecycle Management in the Product: Define the scope of AI deliveries in MVP format. You will need to balance the complexity of data models with delivery timelines, deciding when to use simple heuristics and when to apply advanced predictive models.
- AI Adoption and Performance Metrics: Establish and monitor data-journey-specific indicators, such as recommendation acceptance rate, improvement in WAPE (forecast error), bias, and reduction in planning cycle time.
- Alignment with Technical and Business Stakeholders: Negotiate priorities directly with Machine Learning Engineers and Data Scientists, translating planners’ needs into technical requirements and vice versa.
Requirements
What you’ll need- Data/AI Product Experience: Proven experience managing digital products that use Machine Learning, AI or GenAI at their core (AI-centric products).
- Technical-to-Business Translation: Ability to engage technically with Data Science teams (understanding concepts such as precision, recall, overfitting, model training) and translate those concepts into usability and business language.
- User Experience (UX) Focus: Mastery of Discovery methodologies with a focus on data usability. Ability to design interfaces that present large volumes of information and predictions clearly and actionably.
- Autonomy and Problem Solving: Ability to work independently in prioritizing complex backlogs, defining what delivers immediate value to users versus long model development cycles.
- Previous experience with Demand Planning, S&OP (Sales and Operations Planning) or Supply Chain in the Retail or Manufacturing sector.
- Practical knowledge of Change Management strategies for products that replace manual operations with algorithmic automation.
Benefits
Comp & perks- Medical and dental plan
- Medication assistance
- Family health voucher
- Free psychotherapy sessions
- Telemedicine and second medical opinion
- Free flu vaccine
- Health and wellness programs
- Meal voucher or local restaurant voucher (depending on work model)
- Food allowance
- Christmas food allowance
- Gym and fitness studio plan
- Home office allowance (for hybrid and remote work models)
- Pet health plan
- Birthday day off
- Up to 40% discount on our products
- Employee membership (partnerships and discounts: multi-brand store, gym passes, courses and more!)
- Travel and accommodation program
- Childcare assistance
- Child nutrition credit
- Nanny allowance
- School supplies allowance
- Legal, psychological and social counseling
- Support for non-traditional parents
- Extended parental leave (180 days for mothers and 120 days for fathers)
- Transportation voucher and parking (hybrid and on-site models)
- Life insurance
- Bereavement support for loss of parents
- Private pension plan
- Payroll-deductible loans
ATS Keywords
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Hard Skills & Tools
Artificial IntelligenceGenAIMachine LearningData SciencePredictive ModelsModel TrainingHeuristicsData UsabilityForecast ErrorAlgorithmic Automation
Soft Skills
User Experience DesignTechnical-to-Business TranslationProblem SolvingAutonomyNegotiationCommunicationStakeholder AlignmentPrioritizationDiscovery MethodologiesUnderstanding User Needs