Ph3Associate Director, SIOP Forecasting Analytics /h3pRole 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. /ph3Key Responsibilities /h3ulliAI 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). /liliModel 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. /liliProductization 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. /liliBusiness 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. /liliStakeholder 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. /li /ulh3Key Skills Qualifications /h3ulli10–15 years experience in AI/ML, with strong focus on forecasting or supply chain analytics. /liliDeep expertise in time-series forecasting, ML, and optimization techniques. /liliExperience with MLOps, cloud platforms (GCP/AWS/Azure), and data ecosystems. /liliStrong business acumen in supply chain/SIOP processes. /liliProven ability to drive AI adoption at scale. /li /ulh3Key Success Metrics /h3ulliForecast accuracy improvement (%) /liliInventory reduction / working capital impact /liliRevenue uplift from AI-driven insights /liliAdoption rate of AI products across BUs /li /ulh3Pay Range /h3pCHF140,000.00 - CHF280,000.00 /p /p #J-18808-Ljbffr