Quantitative Research Lead, Construction & Platform

Autodesk Autodesk · Enterprise · Toronto, ON +1

This role focuses on quantitative research and measurement to understand and improve user and product experience within Autodesk's AEC Construction division. While not directly building AI models, the role involves leveraging AI and automation for research tasks and measuring the experience of AI-enabled products.

What you'd actually do

  1. Lead large-scale benchmarking and longitudinal quantitative studies end-to-end that measure user sentiment and product experience over time
  2. Analyze and synthesize survey, behavioral, and business data to generate actionable insights that inform product prioritization and investment decisions
  3. Apply appropriate statistical methods and clearly communicate findings, limitations, and recommendations to stakeholders
  4. Partner closely with Product, Qualitative Research, Analytics, Growth, Strategy and Engineering to align on measurement strategy and priorities
  5. Identify opportunities to leverage AI and automation (e.g., survey analysis, text analytics, insight generation) to increase speed and scale

Skills

Required

  • 8+ years of experience in quantitative UX research, survey science, or a related field
  • Demonstrated expertise in designing and executing quantitative research that informs product or business decisions
  • Strong understanding of survey methodology, sampling, bias, and measurement validity
  • Strong foundation in applied statistics, including experimental design, inference, regression, and survey analysis
  • Proficiency in statistical programming tools such as R or Python
  • Demonstrated ability to influence cross-functional stakeholders and communicate complex findings clearly and effectively

Nice to have

  • Experience measuring and evaluating AI-enabled products or features
  • Experience using AI tools to support research and analytical workflows
  • Experience operationalizing or scaling quantitative research programs and measurement practices

What the JD emphasized

  • quantitative research
  • user sentiment
  • product experience
  • quantitative studies
  • survey data
  • quantitative insight
  • quantitative research
  • survey methodology
  • applied statistics
  • survey analysis
  • quantitative research programs