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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Product Owner - Artificial Intelligence - **Company:** Tata Consultancy Services Limited - **Location:** Troy, MI, United States - **Experience:** Expert - **Salary:** $120,000.0 - $155,000.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Amazon Web Services, Microsoft Azure, Continuous Delivery, Scrum Methodology, Software Product Management, Digital Twin, Google Cloud, Enterprise Software Applications, Information Technology, Data Analytics, Data Management, Machine Learning Operations, Data Pipelines, Microservices - **Published:** May 22, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=4a031557e1452d1b ## About the Role Do you have experience in Technical product management within tech?, Do you have a Bachelor's degree?, * 8-12 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, Qualifications : BACHELOR OF COMPUTER SCIENCE ## Description 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) ## Related Videos - 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