AI-Enabled Plant Head

Santriya Technologies; Chennai; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

Santriya Technologies is seeking an AI-Enabled Plant Head to own safe, reliable and cost-effective plant or large facility performance, using AI-enabled planning, maintenance, quality and operational intelligence while retaining clear human accountability.

You will lead production, maintenance, quality and EHS at the site, using AI-powered dashboards to optimize bottlenecks, yield and energy use, while ensuring governance and escalation protocols are followed.

Responsibilities

• Own production/service, maintenance, quality, EHS, people, cost and delivery performance for the site.
• Use integrated dashboards and AI analytics to identify bottlenecks, failure risk, yield loss, energy waste and capacity opportunities.
• Challenge model recommendations against operating constraints, safety limits and product/customer requirements before approval.
• Set daily/weekly operating rhythms, escalation thresholds and cross-functional action plans.
• Drive OEE, throughput, reliability, right-first-time, inventory and cost improvement programs.
• Ensure maintenance, engineering changes, permits, quality holds and deviations follow documented governance.
• Build leadership capability and AI literacy across supervisors and engineers.
• Own business continuity, critical spares, contractor strategy and major incident response.

Job description

Job Summary

Santriya Technologies is seeking an AI-Enabled Plant Head to own safe, reliable and cost-effective plant or large facility performance, using AI-enabled planning, maintenance, quality and operational intelligence while retaining clear human accountability.

Product & documentation operating model

You will be assigned one or more company products, client solutions or operational services. The approved product documentation, SOPs, policies, process maps, knowledge articles, release notes, controls, scripts and AI runbooks are the source of truth. Use only approved enterprise AI tools to retrieve, summarize, draft, classify, prioritize or automate work. Validate material AI outputs against current documentation and authoritative system data, record exceptions, and elevate conflicts or missing guidance. Do not invent product features, prices, customer entitlements, engineering limits, regulatory positions or safety instructions.

Responsibilities

• Own production/service, maintenance, quality, EHS, people, cost and delivery performance for the site.
• Use integrated dashboards and AI analytics to identify bottlenecks, failure risk, yield loss, energy waste and capacity opportunities.
• Challenge model recommendations against operating constraints, safety limits and product/customer requirements before approval.
• Set daily/weekly operating rhythms, escalation thresholds and cross-functional action plans.
• Drive OEE, throughput, reliability, right-first-time, inventory and cost improvement programs.
• Ensure maintenance, engineering changes, permits, quality holds and deviations follow documented governance.
• Build leadership capability and AI literacy across supervisors and engineers.
• Own business continuity, critical spares, contractor strategy and major incident response.

AI-enabled ways of working

• Use approved GenAI copilots, enterprise search/RAG, analytics and workflow agents to reduce repetitive work and improve decision preparation.
• Keep prompts, outputs and automated actions within approved data-access, confidentiality and retention rules.
• Correct inaccurate summaries, classifications or recommendations before they become customer, operational or system records.
• Feed recurring AI errors, knowledge gaps and process friction into product, documentation and control improvement.

Human accountability

AI is a copilot, not the accountable decision-maker. The role holder remains responsible for judgement, quality, privacy, security and appropriate escalation. Credit, fraud blocking, legal/regulatory, financial advice, safety-critical, clinical, employment and other high-impact decisions must follow delegated authority and required human review.

Success Measures

• Safety, service and quality targets are sustained
• OEE/throughput and cost performance improve
• Unplanned downtime and chronic losses reduce
• Decisions remain controlled, documented and auditable