IT Supply Chain Analyst

Job Title: IT Supply Chain Analyst Company: Ford Motor Company Job Category: Data Science Roles & Responsibilities: You’ll help reduce repetitive operational work by identifying tasks that can be automated, building safe AI\-assisted workflows, and improving how teams detect, diagnose, and prevent incidents. You’ll also help grow the team’s practical AI capabilities. * Identify and prioritize repetitive production\-support tasks that can be simplified or automated, focusing on activities that consume significant team time or create avoidable manual effort. * Design, develop, test, and maintain operational automations for tasks such as health checks, data validation, ticket enrichment, incident summaries, and approved routine remediation. * Build AI\-assisted workflows for incident triage, knowledge retrieval, runbook guidance, alert correlation, and remediation recommendations. * Apply agentic AI patterns to automate multi\-step operational workflows, using clearly defined permissions, boundaries, approval steps, and fallback behavior. * Use predictive analytics and anomaly detection to identify operational patterns, anticipate potential issues, and trigger timely alerts or automated actions. * Integrate automation and AI solutions with approved monitoring, ticketing, knowledge\-management, and Supply Chain systems through APIs and other supported interfaces. * Implement safeguards and quality controls including testing, access management, audit logging, output validation, human review, and safe failure handling. * Measure and improve automation outcomes by tracking time saved, manual effort reduced, accuracy, adoption, failure rates, and operational impact; document solutions and share reusable patterns with the team. * Python scripting: Build and test maintainable Python automations using tools such as pytest and Ruff. * Data and predictive analytics: Use SQL, pandas, and scikit\-learn to analyze operational data and develop anomaly\-detection or forecasting solutions. * Observability: Use monitoring, logging, and tracing tools to support automation; f * Cloud fundamentals: Understand cloud services, identity and access management, networking, storage, compute, and cloud security. Work Location: Chennai, India Availability: Full time

Education: Bachelor’s or master’s degree in computer science, Engineering, Maths or Science Performed any modern NLP/LLM courses/open competitions is also welcomed. Technical Requirements: * Agentic AI workflows: Design multi\-step AI\-agent workflows with tool calling, state management, guardrails, human approvals, and fallback handling. * Containers and infrastructure: Deploy and troubleshoot containerized workloads using Docker; Kubernetes or Terraform experience is preferred. Key Skills: Python, SQL, Pandas Salary: INR 493955 - 696375 per yearly