AI Product Manager (Manufacturing, Renewable & Power)

Taglynk · India

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

• 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
• 7–10 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.