Scenario Supply Planning AI Lead

Description -

Role Summary
The Scenario Supply Planning AI Lead is an individual contributor within the Global Supply Chain Planning organization who will help to transform supply chain planning from static reactive analysis into dynamic AI-enabled scenario modeling. The role is responsible for improving the quality speed and consistency of planning decisions through structured scenario analysis simulation and analytical decision support.

The role partners closely with Global Supply Chain Planners to evaluate complex planning questions develop reusable scenario frameworks standardize analytical workflows and improve planner productivity through the effective use of enterprise AI tools automation and analytics.

This is not an AI engineering Machine Learning or Data Science role. AI is used as an enabling capability to accelerate analysis automate repetitive work and improve decision quality.


Key Responsibilities
Scenario Planning & Decision Support
- Design execute and maintain reusable capacity planning scenarios for recurring business problems.
- Translate ambiguous business questions into structured what-if analyses with clear assumptions constraints and expected outcomes.
- Evaluate capacity trade-offs across service cost utilization inventory and operational risk.
- Develop decision-ready recommendations with supporting evidence sensitivity analysis and quantified business impact.
- Support planners during capacity disruptions supply constraints demand changes new product introductions and strategic planning exercises.
- Continuously improve scenario templates based on business outcomes and planner feedback

The role partners closely with:
Global Supply Chain Planning
Supply Planning
Manufacturing Operations
Business Planning
Data & Analytics teams

Required Qualification:
- Bachelors degree in Supply Chain Industrial Engineering Data Science Operations Research Computer Science Business Analytics or a related field;
- 58 years of relevant experience in supply chain planning demand planning supply planning SIOP/IBP operations analytics inventory management or planning technology.
- Fundamental knowledge on Supply planning Global Supply Chain Planning S&OP / S&OE
- Experience working with large datasets planning systems ERP data forecasting outputs or supply chain performance metrics.

Typical Deliverables:
- Capacity scenario analyses
- What-if simulations
- Decision recommendation packs
- Executive-ready scenario summaries
- Scenario comparison dashboards
- Power BI reports
- SQL and Python analytical utilities
- Copilot prompt libraries
- Scenario playbooks
- Planning process documentation
- Post-scenario learning reviews

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Equal Opportunity Employer (EEO) -

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