PCS Efficiency/Artificial Intelligence Leader

NextGenEnergyJobs; Chennai District; On-site; INR 3,800,000 - 6,800,000; Full time

Job summary

NextGenEnergyJobs in Chennai seeks a Sr. Manager of AI to steer the AI transformation for the PCS business. You will architect and deliver high-impact AI solutions, aligning with engineering and operations across five work streams.

Ideally you bring 12+ years in technical leadership, with 5+ years guiding enterprise AI/ML programs, and a strong track record translating AI value into business outcomes. Master's/PhD preferred; MBA a plus.

Qualifications

• 12+ years in technical leadership roles.
• At least 5 years leading enterprise-scale AI/ML transformations.
• Deep understanding of Power Conversion, Energy Storage, or related industrial sectors is highly preferred.
• Hands-on experience with modern AI stacks (LLMs, predictive modeling, data engineering).
• Ability to translate technical AI jargon into clear business value.

Responsibilities

• Lead the AI transformation strategy for the PCS business.
• Build foundational AI enablement infrastructure and orchestrate delivery across five work streams.
• Influence senior stakeholders and translate AI value into business outcomes.

Skills

AI leadership

Cross-functional leadership

AI/ML transformations

Data engineering

Architectural guidance

Education

Master's degree in CS/DS/Engineering

PhD in related field

MBA (preferred)

Job description

As the Sr. Manager of AI, you will lead the AI transformation strategy for the Power Conversion and Storage (PCS) business. You will be responsible for building the foundational AI enablement infrastructure while orchestrating the delivery of high-impact AI solutions across five critical work streams: Engineering, Serv

Requirements

• Experience: 12+ years in technical leadership roles, with at least 5 years specifically focused on leading enterprise-scale AI/ML transformations.
• Industry Knowledge: Deep understanding of Power Conversion, Energy Storage, or related industrial sectors is highly preferred.
• Leadership: Demonstrated experience managing cross-functional teams and influencing senior stakeholders. Ability to translate technical AI jargon into clear business value.
• Technical Acumen: Hands-on experience with modern AI stacks (LLMs, predictive modeling, data engineering). Ability to guide architectural decisions regarding "build vs. buy."
• Education: Master's degree or PhD in Computer Science, Data Science, Engineering, or a related field; MBA is a plus.