Associate Director, Forecasting Analytics

 Posted 5 days ago
     
 140K - 280K per year
  
10+ years experience
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AI Summary

Lead the end-to-end design and scaling of AI/ML forecasting solutions to drive predictive intelligence across SIOP and supply chain operations. The role involves defining the AI roadmap, deploying advanced models via MLOps, and quantifying business value such as inventory reduction and revenue uplift.

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

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