Product Owner - Artificial Intelligence

Must Have Technical/Functional Skills
Experience • 812 years of experience in Product Management / Product Ownership / Consulting • Strong experience in Supply Chain domain (mandatory) • Proven experience delivering AI/ML or data-driven products Core Skills • Product Management (roadmaps, backlog, prioritization, stakeholder mgmt.) • AI/ML understanding (predictive models, optimization, GenAI exposure) • Supply Chain processes and systems (ERP, planning tools, logistics platforms) • Agile methodologies (Scrum, SAFe, etc.) Technical Understanding • Familiarity with: o Data platforms (Azure, AWS, GCP) o AI/ML lifecycle, model deployment, and monitoring o APIs, microservices, and enterprise system integrations Communication • Strong storytelling and executive presentation skills • Ability to engage both business and technical audiences ________________________________________ Preferred / Nice-to-Have • Exposure to Digital Twins / Intelligent Supply Chains / Autonomous Planning • Experience with GenAI use cases in supply chain
Roles & Responsibilities Product Strategy & Vision • Define and own the product roadmap for AI-driven supply chain solutions • Identify high-value use cases (demand forecasting, inventory optimization, predictive logistics, supplier risk, etc.) • Align product strategy with business KPIs such as cost reduction, service levels, and operational efficiency AI Product Development • Translate business problems into AI/ML product requirements and features • Work with data science and engineering teams to build scalable AI solutions • Drive end-to-end lifecycle: ideation MVP scale • Define KPIs and success metrics for AI models and products Supply Chain Domain Leadership • Apply domain expertise across supply chain areas: o Demand & supply planning o Inventory management o Warehouse & logistics optimization o Order fulfillment & last-mile delivery • Bridge the gap between business stakeholders and technical teams Agile Product Ownership • Manage product backlog, user stories, and prioritization • Lead sprint planning, reviews, and releases • Ensure continuous delivery aligned to business priorities Stakeholder & Client Engagement • Collaborate with senior business stakeholders across operations and supply chain • Support client conversations, workshops, and solution demos • Translate complex AI concepts into business-friendly outcomes Data & Analytics Governance • Ensure high-quality data pipelines and AI model governance • Define processes for monitoring model performance and continuous improvement • Drive responsible AI practices (fairness, explainability, compliance) Education Bachelors
Salary Range: $120000 - $155000 a year