AI-Enabled Supply Chain Executive

Santriya Technologies; Chennai; On-site; INR 1,000,000 - 1,800,000; Full time

Job summary

Santriya Technologies is seeking an AI-Enabled Supply Chain Executive to coordinate demand, supply, inventory and fulfilment activities using AI-assisted forecasts and exception management to improve service, stock availability and operating efficiency. You will monitor demand, inventory, purchase/production, inbound, warehouse and delivery plans, using AI forecasts and anomaly alerts as decision support.

You will manage stockouts, excess, delays and capacity across teams while coordinating with

Responsibilities

• Monitor demand, inventory, purchase/production, inbound, warehouse and delivery plans for assigned products.
• Use approved AI forecasts and anomaly alerts as decision support; investigate material variances before changing plans.
• Manage stockout, excess, delay, capacity and allocation exceptions across teams.
• Maintain planning parameters, lead times, minimums, calendars and master data with change control.
• Coordinate with procurement, warehouse, logistics, sales and finance on priorities.
• Track service level, fill rate, forecast accuracy, inventory turns and ageing.
• Document assumptions, overrides and root causes so models and processes can improve.
• Escalate customer, compliance, temperature/safety or high-value product risks promptly.
• 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.

Job description

Job Summary

Santriya Technologies is seeking an AI-Enabled Supply Chain Executive to coordinate demand, supply, inventory and fulfilment activities using AI-assisted forecasts and exception management to improve service, stock availability and operating efficiency.

Responsibilities

• Monitor demand, inventory, purchase/production, inbound, warehouse and delivery plans for assigned products.
• Use approved AI forecasts and anomaly alerts as decision support; investigate material variances before changing plans.
• Manage stockout, excess, delay, capacity and allocation exceptions across teams.
• Maintain planning parameters, lead times, minimums, calendars and master data with change control.
• Coordinate with procurement, warehouse, logistics, sales and finance on priorities.
• Track service level, fill rate, forecast accuracy, inventory turns and ageing.
• Document assumptions, overrides and root causes so models and processes can improve.
• Escalate customer, compliance, temperature/safety or high-value product risks promptly.
• 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.

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

• Service and availability improve
• Forecast/plan bias reduces
• Inventory ageing and expedites decline
• Exceptions are resolved with documented causes