AI Product Manager (Manufacturing, Renewable & Power)

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 strong domain expertise, product management skills, and the ability to translate business challenges into scalable AI products that deliver measurable business value.

Key Responsibilities

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• Define AI product strategy, roadmap, and business cases aligned with organizational goals.
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• Identify, prioritize, and deliver AI/ML and GenAI use cases across manufacturing, renewable energy, and utility operations.
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• Collaborate with business stakeholders, operations teams, data scientists, engineers, and architects to drive product development.
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• Own the end-to-end product lifecycle from ideation, requirements gathering, MVP development, deployment, and value realization.
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• Drive Agile delivery, backlog prioritization, KPI tracking, and stakeholder communication.
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• Ensure successful adoption, change management, and continuous enhancement of AI solutions.
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Typical AI Use Cases

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• Manufacturing: Predictive maintenance, quality inspection, production optimization, energy efficiency, anomaly detection.
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• Renewables: Solar/wind forecasting, asset performance monitoring, predictive maintenance, revenue optimization.
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• Power & Utilities: Load forecasting, power price forecasting, BESS optimization, power trading analytics, grid reliability.
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Required Qualifications

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• Bachelor's/Master degree in Engineering, Computer Science, Data Science, or related field
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• 7–10 years of experience in Product Management.
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• Proven experience delivering AI/ML solutions in Manufacturing, Renewable Energy, Power, or Utilities.
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• Strong understanding of AI/ML, GenAI, Industrial IoT, Analytics, and Cloud platforms (Azure/AWS/GCP).
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• Experience working in Agile environments and managing cross-functional teams.
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Key Skills

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• Product Strategy & Roadmap Management
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• AI/ML & Generative AI
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• Data Analytics & Forecasting
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• Industrial Digital Transformation
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• Stakeholder & Executive Management
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• Agile/Scrum Delivery
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• Business Case & ROI Development
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Success Measures

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• Business value and ROI delivered from AI initiatives.
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• Improvement in operational efficiency, forecast accuracy, asset availability, and cost optimization.
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• Timely delivery, user adoption, and stakeholder satisfaction.
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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.