AI Product Manager (Manufacturing, Renewable & Power) (Noida)

Role Overview We are looking for an experienced AI Product Manager to lead the design, development, and deployment of AI-driven solutions across Manufacturing, Renewable Energy, and Power sectors . The role requires robust domain expertise, product management skills, and the ability to translate business challenges into scalable AI products that deliver measurable business value. Key Responsibilities - Define AI product strategy, roadmap, and business cases aligned with organizational goals. - Identify, prioritize, and deliver AI/ML and GenAI use cases across manufacturing, renewable energy, and utility operations. - Collaborate with business stakeholders, operations teams, data scientists, engineers, and architects to drive product development. - Own the end-to-end product lifecycle from ideation, requirements gathering, MVP development, deployment, and value realization. - Drive Agile delivery, backlog prioritization, KPI tracking, and stakeholder communication. - Ensure successful adoption, change management, and continuous enhancement of AI solutions. Typical AI Use Cases - Manufacturing: Predictive maintenance, quality inspection, production optimization, energy efficiency, anomaly detection. - Renewables: Solar/wind forecasting, asset performance monitoring, predictive maintenance, revenue optimization. - Power & - Utilities: Load forecasting, power price forecasting, BESS optimization, power trading analytics, grid reliability. Required Qualifications - Bachelor's/Master degree in Engineering, Computer Science, Data Science, or related field - 710 years of experience in Product Management. - Proven experience delivering AI/ML solutions in Manufacturing, Renewable Energy, Power, or Utilities. - Strong understanding of AI/ML, GenAI, Industrial IoT, Analytics, and Cloud platforms (Azure/AWS/GCP). - Experience working in Agile environments and managing cross-functional teams. Key Skills - Product Strategy & - Roadmap Management - AI/ML & - Generative AI - Data Analytics & - Forecasting - Industrial Digital Transformation - Stakeholder & - Executive Management - Agile/Scrum Delivery - Business Case & - ROI Development Success Measures - Business value and ROI delivered from AI initiatives. - Improvement in operational efficiency, forecast accuracy, asset availability, and cost optimization. - Timely delivery, user adoption, and stakeholder satisfaction. Ideal Candidate: A strategic product leader who combines AI expertise, industrial domain knowledge, and strong business acumen to drive digital transformation and innovation across manufacturing, renewable energy, and power enterprises. .