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
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Define the AI roadmap for forecasting across regions and business units
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Identify high-value use cases (demand sensing, pricing elasticity, parts forecasting, supply optimization)
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Align AI initiatives with enterprise value levers (revenue growth, cost optimization, service levels)
Model Development & Deployment
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Design and deploy advanced models (time-series, probabilistic forecasting, causal ML, GenAI copilots)
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Lead experimentation frameworks (A/B testing, backtesting, scenario simulations)
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Ensure scalable deployment via MLOps pipelines
Productization of AI Solutions
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Convert models into reusable AI products (forecasting engines, APIs, copilots)
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Work closely with product managers to define features, roadmaps, and adoption strategies
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Drive standardization across markets while enabling localization
Business Impact & Value Realization
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Quantify and track value (forecast accuracy improvement, inventory reduction, revenue uplift)
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Partner with Finance and business teams for value baselining and realization
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Continuously optimize models based on performance and feedback loops
Stakeholder & Team Leadership
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Collaborate with SIOP leaders, supply chain teams, and digital leadership
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Lead a team of data scientists, ML engineers, and analysts
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Act as a thought leader in AI within the organization
Key Skills & Qualifications
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10–15 years experience in AI/ML, with strong focus on forecasting or supply chain analytics
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Deep expertise in time-series forecasting, ML, and optimization techniques
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Experience with MLOps, cloud platforms (GCP/AWS/Azure), and data ecosystems
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Strong business acumen in supply chain/SIOP processes
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Proven ability to drive AI adoption at scale
Success Metrics
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Forecast accuracy improvement (%)
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Inventory reduction / working capital impact
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Revenue uplift from AI-driven insights
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Adoption rate of AI products across BUs
Pay Range:
CHF140,000.00 - CHF280,000.00
