Lead – AI Automation & Digital Transformation

Global Trading | Minerals & Metals | Manufacturing | Supply Chain | Trade Finance

Location: Hyderabad, IndiaExperience: 6–10 yearsEmployment:

Full-timeReporting: Group President / Senior Management

- Key Responsibilities

A. AI Agents, Bots & Workflow Automation
- Design and deploy AI agents and bots to automate business processes.
- Build automated workflows using Python, n8n, Power Automate, UiPath, or equivalent tools.
- Automate data collection, document processing, email classification, task allocation, approvals, reminders, and management reporting.
- Develop AI solutions to extract, analyze, validate, and organize structured and unstructured data.
- Implement workflow orchestration, exception handling, audit trails, and human approval mechanisms.

B. Trade, Manufacturing & Supply Chain Automation
- Automate end-to-end purchase-to-pay and order-to-cash processes.
- Digitize RFQs, quotations, purchase orders, sales contracts, supplier management, and customer order tracking.
- Develop systems to monitor raw materials, production, quality checks, inventory, warehouse movements, and dispatches.
- Automate import/export documentation, including invoices, packing lists, bills of lading, certificates of origin, and customs-related documents.
- Integrate shipping, logistics, freight forwarding, delivery tracking, and transaction-level profitability.
- Establish transaction visibility across all group companies.

C.

Global Market

Research & Commercial Intelligence
- Develop AI-powered research systems for international minerals and metals markets.
- Build structured databases of global buyers, suppliers, manufacturers, importers, exporters, commodity traders, and logistics providers.
- Automate market research by commodity, country, trade route, demand, supply, and business opportunity.
- Collect and analyze data from authorized trade databases, public registries, and market intelligence platforms.
- Implement data enrichment, duplicate detection, company classification, contact verification, and database updates.
- Generate actionable market intelligence reports for commercial and business development teams.

D.

Trade

Finance, Banking & Investment Intelligence
- Build databases of international banks, NBFCs, trade finance institutions, private credit funds, alternative lenders, and investment institutions.
- Develop tools to identify suitable funding sources based on geography, commodity, transaction type, collateral,



and financing requirements.
- Automate lender research, eligibility screening, outreach, follow-ups, and financing pipeline tracking.
- Organize financing documents, transaction data, KYC requirements, and due diligence checklists.
- Automate monitoring of letters of credit, bank guarantees, receivables financing, invoice discounting, trade loans, and working capital facilities.
- Develop dashboards for funding proposals, lender engagement, sanctions, disbursements, repayments, and outstanding obligations.

E. Group MIS & Management Dashboards
- Develop centralized MIS dashboards for multiple group companies and international operations.
- Consolidate data from ERP, accounting systems, spreadsheets, databases, emails, and operational applications.
- Automate daily, weekly, and monthly management reports.
- Build dashboards covering procurement, production, sales, shipments, inventory, profitability, working capital, cash flow, receivables, and financing.
- Set up exception-based alerts for timely management intervention.
- Establish standardized reporting definitions, data quality controls, and entity-wise access permissions.

F.

Systems

Integration & Technology Architecture
- Design scalable databases, APIs, data pipelines, workflow engines, and internal applications.
- Integrate ERP, CRM, accounting, document management, and communication platforms.
- Develop secure cloud-based or hybrid technology infrastructure.
- Implement role-based access, encryption, logging, monitoring, backup, and recovery mechanisms.
- Ensure compliance with applicable data protection, cross-border data transfer, and commercial data licensing requirements.
- Maintain technical documentation, source code repositories, testing processes, and deployment standards.

2.

Mandatory Technical

Qualifications
- Strong proficiency in Python, SQL, REST APIs, and backend development.
- Hands-on experience developing AI agents, LLM integrations, tool-calling systems, and Retrieval-Augmented Generation (RAG) solutions.
- Practical experience with n8n, Power Automate, UiPath, or equivalent automation platforms.




- Experience in database architecture, ETL/ELT pipelines, data extraction, validation, and integration.
- Working knowledge of PostgreSQL, SQL Server, or equivalent relational databases.
- Experience with Power BI or equivalent business intelligence tools.
- Experience integrating ERP, CRM, finance, and third-party business applications.
- Familiarity with cloud infrastructure, Docker, Git, CI/CD, testing, and production monitoring.
- Ability to independently develop, deploy, maintain, and troubleshoot production-ready solutions.

3. Preferred Industry Experience
- International trade and commodity trading operations.
- Manufacturing, procurement, supply chain, and logistics technology.
- Trade finance, banking, lending, or fintech automation.
- Multi-company, multi-currency, and cross-border business operations.
- Enterprise automation projects with measurable business outcomes.

4.

Key Performance

Indicators (KPIs)
- Number of production-ready automations deployed and adopted.
- Reduction in manual processing time and repetitive tasks.
- Improvement in transaction visibility and operational turnaround time.
- Accuracy, completeness, and freshness of business intelligence databases.
- Reliability of system integrations and management dashboards.
- Reduction in reporting delays and operational exceptions.
- Measurable commercial value generated through automation, market intelligence, and financial visibility.

5.

Ideal Candidate

Profile
- A hands-on technology qualified with strong development and implementation capabilities.
- Technically independent, analytical, commercially aware, and comfortable working with senior leadership.
- Able to understand business operations and translate requirements into practical technology solutions.
- Capable of writing and reviewing code, integrating systems, and troubleshooting production issues.
- Experienced in building scalable automation and digital intelligence infrastructure.
- A high-ownership individual focused on execution, measurable outcomes, and continuous improvement.

6. Role Overview
- Role: Lead – AI Automation & Digital Transformation
- Nature: Hands-on technical leadership and implementation.
- Focus: AI agents, workflow automation, business intelligence, systems integration, and end-to-end process digitization.
- Objective: Build and scale the digital intelligence and automation infrastructure of an international business group.

📌 Lead – AI & Digital Transformation (Hyderabad)
🏢 SRIVAY
📍 Hyderabad