PbAssociate Director, SIOP Forecasting Analytics /b /ppbRole Overview /b /ppThe 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. /ppbKey Responsibilities /b /ppbAI Strategy Vision /b /pliDefine the AI roadmap for forecasting across regions and business units /liliIdentify high-value use cases (demand sensing, pricing elasticity, parts forecasting, supply optimization) /liliAlign AI initiatives with enterprise value levers (revenue growth, cost optimization, service levels) /lipbModel Development Deployment /b /pliDesign and deploy advanced models (time-series, probabilistic forecasting, causal ML, GenAI copilots) /liliLead experimentation frameworks (A/B testing, backtesting, scenario simulations) /liliEnsure scalable deployment via MLOps pipelines /lipbProductization of AI Solutions /b /pliConvert models into reusable AI products (forecasting engines, APIs, copilots) /liliWork closely with product managers to define features, roadmaps, and adoption strategies /liliDrive standardization across markets while enabling localization /lipbBusiness Impact Value Realization /b /pliQuantify and track value (forecast accuracy improvement, inventory reduction, revenue uplift) /liliPartner with Finance and business teams for value baselining and realization /liliContinuously optimize models based on performance and feedback loops /lipbStakeholder Team Leadership /b /pliCollaborate with SIOP leaders, supply chain teams, and digital leadership /liliLead a team of data scientists, ML engineers, and analysts /liliAct as a thought leader in AI within the organization /lipbKey Skills Qualifications /b /pli10–15 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 /lipbSuccess Metrics /b /pliForecast accuracy improvement (%) /liliInventory reduction / working capital impact /liliRevenue uplift from AI-driven insights /liliAdoption rate of AI products across BUs /libr/pbPay Range: /b /pCHF140,000.00 - CHF280,000.00