01Overview
Supply Chain Analyst As an Analyst in the N-Tier Risk Sensing CoE, you are a strategic specialist responsible for securing Fords production continuity through multi-tier supply chain visibility. In the current agile automotive landscape, your role is to provide real-time, proactive insights that eliminate risk before it impacts production. Working within a high-performance team, you are required to be agile and amicable team player.
You will transform complex datasets into actionable intelligence, enabling executive leadership to make informed, strategic decisions.
Technical
Execution - Network Mapping & Data Analysis Multi-Tier Illumination: Execute deep-dive mapping of supply chains for complex electronic \"Black Boxes\" and critical commodities, identifying suppliers at Tier 2, 3, and beyond.
Supplier Intelligence : Validate supplier-provided data by cross-referencing industry intelligence, logistics feeds, and historical performance to ensure a \"single source of truth\" for the supply chain.
Vulnerability Assessment: Identify \"Single Point of Failure\" nodes within the sub-tier network, focusing on regional concentrations and capacity constraints Risk Modeling: Utilize data science methodologies to identify regional concentrations, geopolitical vulnerabilities, and supply chain constraints.
Operational Management KPI Delivery: Maintain high standards for \"Time-to-Recover\" on risk assessments and ensure the \"Risk Prediction Accuracy\" of your assigned commodity portfolios.
Extreme Ownership: Manage end-to-end data workstreams with technical precision in an agile, high-pressure environment.
Playbook Support: Assist in the development of proactive mitigation playbooks by providing the data-backed foundation for derisking and regionalization strategies.
Digital
Integration & Collaboration AI Integration: Collaborate with IT partners to feed cleaned, validated N-Tier data into Fords AI-driven resilience dashboards. Cross-Functional Support: Provide technical data support to Global Purchasing, Engineering, and Material Planning and Logistics teams during supply crises or strategic sourcing reviews.
Visualization: Create high-impact data visualizations that simplify complex supply chain dependencies for senior management briefings.
Education: B.E./B.Tech in a Technical/Engineering field (Required); Specialization in Supply Chain Operations Research is an additional advantage. Data Science knowledge is preferable.
Experience: 36 years of experience in Supply Chain analytics, Commodity Management, or Risk Managementideally within the Automotive, Electronics, or Aerospace sectors.
Technical Skills: Proficiency in data visualization tools (e.g., Power BI, Tableau), SQL, and advanced Excel. Familiarity with AI/Machine Learning applications in SCM is highly preferred.
Domain Knowledge: Understanding of global supplier ecosystems, electronic component manufacturing, or raw material markets.
Shift: 2:00 PM 11:30 PM (IST). This is critical for daily synchronization with North American and European stakeholders to ensure a \"follow-the-sun\" risk monitoring model.
Environment: A high-paced, data-centric Global Capability Center (GCC). You must be comfortable pivoting quickly as global geopolitical or environmental risks emerge.
Experience Level Senior Level .
