Associate Director, Forecasting Analytics

Associate Director, SIOP Forecasting Analytics

Role Overview

The AI \& Analytics Leader – Forecasting will own the end\-to\-end design, development, and scaling of advanced forecasting solutions leveraging AI/ML. This role will drive predictive intelligence across SIOP, demand planning, inventory optimization, and aftermarket growth, translating business problems into scalable AI products.

Key Responsibilities

AI Strategy \& Vision

• Define the AI roadmap for forecasting across regions and business units


• Identify high\-value use cases (demand sensing, pricing elasticity, parts forecasting, supply optimization)


• Align AI initiatives with enterprise value levers (revenue growth, cost optimization, service levels)

• Design and deploy advanced models (time\-series, probabilistic forecasting, causal ML, GenAI copilots)


• Lead experimentation frameworks (A/B testing, backtesting, scenario simulations)


• Ensure scalable deployment via MLOps pipelines

• Convert models into reusable AI products (forecasting engines, APIs, copilots)


• Work closely with product managers to define features, roadmaps, and adoption strategies


• Drive standardization across markets while enabling localization

• Quantify and track value (forecast accuracy improvement, inventory reduction, revenue uplift)


• Partner with Finance and business teams for value baselining and realization


• Continuously optimize models based on performance and feedback loops

• Collaborate with SIOP leaders, supply chain teams, and digital leadership


• Lead a team of data scientists, ML engineers, and analysts


• Act as a thought leader in AI within the organization

• 10–15 years experience in AI/ML, with strong focus on forecasting or supply chain analytics


• Deep expertise in time\-series forecasting, ML, and optimization techniques


• Experience with MLOps, cloud platforms (GCP/AWS/Azure), and data ecosystems


• Strong business acumen in supply chain/SIOP processes


• Proven ability to drive AI adoption at scale

• Forecast accuracy improvement (%)


• Inventory reduction / working capital impact


• Revenue uplift from AI\-driven insights


• Adoption rate of AI products across BUs

CHF140,000\.00 \- CHF280,000\.00

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