Lead Spares Demand Forecasting by transitioning the function from manual methods to a robust, data-driven process using best-in-class analytics and technology
Job Summary
Lead Spares Demand Forecasting by transitioning the function from manual methods to a robust, data-driven process using best-in-class analytics and technology.
Own and Optimise Data Models by overseeing statistical and machine-learning models, adjusting parameters in response to shifting demand signals, new product introductions, and business priorities.
Achieve Forecast Accuracy by setting and tracking KPIs, rapidly analysing deviations, correcting root causes, updating models, and communicating learnings.
Matching Summary
Lead Spares Demand Forecasting by transitioning the function from manual methods to a robust, data-driven process using best-in-class analytics and technology.
Skills & Requirements
Must-have
Spares demand forecasting
Data-driven forecasting process
Statistical and machine-learning models
Global forecasting model deployment
Forecast accuracy KPIs
Cross-functional collaboration
Nice-to-have
Customer satisfaction focus
Continuous improvement mindset
Data-led evolution
Globally aligned and locally agile
Key Requirements
Experience managing demand forecasting, planning, or analytics in a global business
Strong grasp of forecasting & data tools
Track record of shifting functions from manual to automated/data-driven
Technical literacy in statistical or machine-learning models