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)
Model Development & Deployment
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
Productization of AI Solutions
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
Business Impact & Value Realization
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
Stakeholder & Team Leadership
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
Key Skills & Qualifications
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
Success Metrics
Forecast accuracy improvement (%)
Inventory reduction / working capital impact
Revenue uplift from AI-driven insights
Adoption rate of AI products across BUs
Pay Range:
CHF140,000.00 - CHF280,000.00