Job Description

As an Analyst in the N-Tier Risk Sensing CoE, you are a strategic specialist responsible for securing Ford’s production continuity through multi-tier supply chain visibility. In the current dynamic 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 Ford’s 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: 3–6 years of experience in Supply Chain analytics, Commodity Management, or Risk Management—ideally 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.