Quantitative Research Lead, Construction
5 days ago
Toronto ON, Toronto Census Division, ON; Ontario, Canada
Autodesk
Full-time
€112,000 - €163,900 Temporary
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Job Requisition ID #26WD98230
- Position Overview
Responsibilities
Experience & Journey Measurement
- Build our quantitative understanding of critical user journeys, including their frequency, importance, pain points, and outcomes, to identify where experience improvements can create the greatest user value.
- Establish scalable approaches for experience measurement and benchmarking across products, journeys, and competitive experiences, enabling teams to understand change over time.
- Design and execute quantitative research using surveys, behavioral data, experiments, and other methods appropriate to the research question.
- Develop approaches for measuring emerging AI and agentic experiences, including usefulness, quality, trust, adoption, and overall experience.
Attitudinal + Behavioral Integration
- Partner closely with Data Science and Product Analytics to integrate attitudinal and behavioral data and develop a more complete understanding of users, journeys, and outcomes.
- Identify opportunities for more advanced approaches — including segmentation, predictive modeling, and experimentation — and partner with Data Science to pursue them when appropriate.
Strategic Product Decision Support
- Translate quantitative evidence into clear recommendations that inform product prioritization, strategy, and investment decisions.
- Build quantitative research capability across AEC by establishing practices, advising and mentoring researchers, and shaping the longer-term direction of the discipline.
Minimum Qualifications
- 8+ years of related experience applying quantitative research methods to complex, ambiguous product questions, with a demonstrated track record of operating at a senior or principal level of scope and impact.
- Deep expertise in quantitative research design, applied statistics, and survey methodology, including sampling, measurement, bias, and validity.
- Proficiency in R, Python, SQL or comparable statistical tools and experience working with large or complex datasets.
- Demonstrated ability to integrate quantitative research with behavioral, qualitative, or business data to generate actionable insights.
- Strong communication and influencing skills, including the ability to translate complex evidence, uncertainty, and tradeoffs for product teams and senior leaders.
- Experience operating independently in ambiguous environments and shaping research approaches and priorities.
Preferred Qualifications
Experience with one or more of the following:- Partnering closely with Data Science or Product Analytics to integrate survey and behavioral data, with exposure to segmentation, predictive modeling, and/or experimentation.
- Evaluating AI-enabled products or other emerging technologies.
- Working across complex, multi-product ecosystems.
- Building quantitative capability through consultation, mentoring, shared practices, or standards.