Supply Chain & Logistics Manager
Open a video or resource link, watch it, then check its box to track your progress and unlock what comes next.
- Plan demand, inventory, capacity and network flow
- Optimize flow and improve operating performance
- Lead analytics-driven, resilient supply networks
Benchmark: Amazon AMZL Strategic Planning + Network Planning roles and MIT CTL supply-chain design practice (current Sep 2026) Mastery ladder: 2 current-market competencies per level; 2 direct VIDEO bridges per competency (12 total).
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Plan demand, inventory, capacity and network flow
Demand forecasting, S&OP and constrained planning
Coverage: Causal Inference, Forecasting & Decision Science
Inventory placement, capacity and network design
Coverage: Operations Management & Operating Models
Optimize flow and improve operating performance
Optimization, simulation and digital-twin tradeoffs
Coverage: Mathematics for Data Science / Optimization
Lean process improvement and flow redesign
Coverage: Process Improvement: Lean, Six Sigma & Kaizen
Lead analytics-driven, resilient supply networks
Supply-chain analytics, AI and last-mile decision support
Coverage: SQL & Analytics / AI-Enabled Operations
Resilience, supplier risk and executive execution
Coverage: Program, Risk, Dependency & Vendor Management
Role-Readiness Proof / Capstone
Own a mid-to-long-term supply network plan: forecast demand; set inventory/capacity assumptions; model facility and transportation options; run optimization/simulation scenarios for cost, speed, service and risk; map bottlenecks; quantify automation/AI opportunities; define supplier/resilience mitigations, KPIs, S&OP/MBR cadence and an executive implementation roadmap.
Proof Rubric
- Show forecast quality and assumptions
- defend inventory/capacity/network choices
- quantify cost, speed, service and resilience tradeoffs
- use optimization/simulation evidence
- demonstrate Lean process improvement and analytics
- define metrics, owners and mechanisms
- communicate a senior-leadership decision narrative with risks and mitigations