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Mid-level product title, metro location, and broad skillset at a well-known employer drive high applicant competition.
Requires supply-chain forecasting and ML product experience, making cross-industry transfers limited.
Explicit 4+ years requirement plus mandatory supply-chain forecasting and ML product skills increases screening strictness.
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Own the AI-Forecasting product strategy and solution lifecycle from discovery to delivery with measurable business impact and user outcomes.
Prioritize and refine product backlog; collaborate with agile teams to define requirements, estimate features, and manage product roadmap.
Serve as functional product owner, analyze market conditions, manage product risks, and drive KPI-driven forecasting methodology enhancements.
Bachelor's degree in Engineering, MBA in Business Analytics, Math related field or equivalent experience.
Strong experience in Supply Chain Planning with expertise in forecasting models, regression analysis, time series, probabilistic models, and machine learning techniques.
Product management or product development experience with minimum four years of related work experience.
Experience facilitating teams and translating business requirements into deliverables.
Experienced in managing AI-based forecasting products within supply chain contexts, capable of strategic product ownership.
Ability to independently resolve complex product issues with minimal supervision and effectively handle cross-functional stakeholder communication.
Proficient in agile methodologies, with preference for certifications and practical knowledge in Agile, Scrum, and product ownership.