AI-Enabled Purchase Head

Santriya Technologies; Chennai District; On-site; INR 1,800,000 - 2,500,000; Full time

Job summary

Santriya Technologies in Chennai seeks an AI-enabled Purchase Head to lead procurement strategy, supplier performance and risk monitoring using AI-supported spend intelligence and sourcing analysis. You will ensure compliant approvals and contract controls while coordinating across functions, developing dashboards and driving savings.

You will guide RFQ/RFP processes, supplier negotiations and governance for high-value purchases, ensuring alignment with product specs and delivery terms.

Qualifications

• Experience applying AI to procurement decisions.
• Ability to build spend analytics and supplier risk dashboards.
• Ability to lead RFQ/RFP processes and contract governance.

Responsibilities

• Set category, sourcing, supplier and cost strategies aligned to plans.
• Use AI analytics to classify spend and monitor supplier risk.
• Lead RFQ/RFP, negotiation, award and contract governance for high-value purchases.
• Ensure product specs and SLAs flow from approved docs.
• Manage supplier performance and corrective actions.
• Coordinate reviews across finance, legal, engineering, security.
• Maintain approvals and anti-bribery controls.
• Develop procurement dashboards and playbooks.

Skills

AI analytics

Procurement strategy

Supplier risk management

Tools

GenAI copilots

Enterprise search

Job description

• Santriya Technologies is seeking an AI-Enabled Purchase Head to lead procurement strategy and supplier performance using AI-supported spend intelligence, sourcing analysis and risk monitoring while maintaining transparent commercial approvals and contract controls.
• 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 **??**
• Do not invent product features, prices, customer entitlements, engineering limits, regulatory positions or safety instructions.

Key Responsibilities:

• Set category, sourcing, supplier and cost strategies aligned to product, project and operating plans.
• Use AI analytics to classify spend, identify consolidation opportunities, compare bids and monitor supplier risk, validating source data and assumptions.
• Lead RFQ/RFP, negotiation, award and contract governance for high-value or critical purchases.
• Ensure product specifications, service levels, quality requirements and delivery terms flow correctly from approved documentation.
• Manage supplier performance, capacity, quality, resilience and corrective actions.
• Coordinate finance, legal, engineering, operations and information security reviews as required.
• Maintain segregation of duties, approval thresholds, conflict-of-interest and anti-bribery controls.
• Develop procurement dashboards and playbooks that improve cycle time and decision quality.
• 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:
• Savings/value realization improves
• Supplier risk and delivery performance improve
• Maverick spend and control exceptions reduce
• Critical procurement cycle time becomes predictable