Directeur Associé – Science De La Donnée, Analytiques & Ia / Associate Director – Data Science, Analytics & AI

RTX RTX · Aerospace · longueuil, QC +1 · Digital Technology

Associate Director of Data Science, Analytics & AI at RTX (Pratt & Whitney Canada) responsible for building and leading an enterprise-wide operational intelligence capability. The role focuses on converting operational data into decisions, risk anticipation, and measurable business outcomes across manufacturing, supply chain, quality, and operations. It involves close collaboration with the Digital Transformation team to align digital platforms, data architecture, and advanced analytics/AI capabilities. The position requires 15+ years of experience in data science, advanced analytics, or AI transformation, with a proven track record of delivering measurable operational and financial impact in complex manufacturing or supply chain environments. The role also involves creating and managing centralized analytics teams.

What you'd actually do

  1. Leadership in data and analytics
  2. Business value and impact creation
  3. Deployment of advanced analytics and AI
  4. Dashboards and decision support
  5. Organizational leadership and capability development
  6. Strategic collaboration with Digital Transformation (DT)

Skills

Required

  • Data Science
  • Advanced Analytics
  • AI Transformation
  • Manufacturing
  • Supply Chain
  • Operations Management
  • Team Leadership
  • Business Impact Analysis
  • Strategic Collaboration

Nice to have

  • English proficiency
  • French proficiency

What the JD emphasized

  • 15+ years of experience in data science, advanced analytics or AI transformation
  • Experience in manufacturing, supply chain or complex operations environment
  • Demonstrated track record of delivering measurable operational and financial impact
  • Experience in creating and managing centralized analytics teams

Other signals

  • develop and lead enterprise-wide operational intelligence capability
  • convert operational data into decisions, risk anticipation, and measurable business outcomes
  • deploy scalable analytical solutions into operational processes
  • drive business impact through advanced analytics and AI