Strategic Business Resiliency Analyst - Critical Minerals Materials
General Motors Australia & New Zealand
Not specified (assumed hybrid or remote based on the nature of the role).
Supply chain risk analysis
Scenario planning and tabletop exercises
Enterprise risk framework design
The Strategic Business Resiliency Analyst position at General Motors Australia & New Zealand focuses on identifying and mitigating supply chain risks through data-driven insights and strategic analysis. The role requires collaboration across departments to enhance supply chain resiliency and demands strong analytical and communication skills
Job Summary
The role is critical for enabling data-driven decision-making by translating complex supply chain risks into actionable business insights.
Candidates will design and facilitate scenario planning exercises to test organizational readiness against high-impact risks like geopolitical disruptions.
General Motors offers a rewarding career with benefits focused on employee well-being at work and home to help realize personal ambitions.
Matching Summary
Match Score: 85
The Strategic Business Resiliency Analyst position at General Motors Australia & New Zealand focuses on identifying and mitigating supply chain risks through data-driven insights and strategic analysis. The role requires collaboration across departments to enhance supply chain resiliency and demands strong analytical and communication skills.
Skills & Requirements
Must-have
Supply chain risk analysis
Scenario planning and tabletop exercises
Enterprise risk framework design
Executive-level presentation skills
Cross-functional stakeholder collaboration
Nice-to-have
Curiosity and creativity in problem solving
Ability to influence without authority
Drive for results in ambiguous environments
Willingness to challenge the status quo
Key Requirements
Bachelor's degree in Supply Chain, Business, Engineering, or Risk Management
5+ years of experience in supply chain, purchasing, logistics, or risk management
Proficiency with MS Office tools, Power BI, Teams, and SharePoint