Purchase 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 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 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./ 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.