Autodesk
QuantitativeResearchLead,Construction&Platform
Neural analysis suggests this role is
optimal for Lead candidates.
“Quantitative Research Lead, Construction & Platform at Autodesk. Skills: Quantitative research, Survey science, Statistical analysis. Lead benchmarking studies. Lead longitudinal studies”
What You'll Achieve.
Improve user sentiment understanding; Identify product opportunities; Make better prioritization decisions; Make better investment decisions
Industry & Context.
Data-driven decisions
2-4 times per year travel
What They're Looking For.
Must Have
8+ years experience, Quantitative UX research, Survey science, Design quantitative research, Execute quantitative research, Survey methodology, Sampling, Bias, Measurement validity, Applied statistics, Experimental design, Inference, Regression, Survey analysis, R proficiency, Python proficiency, Influence cross-functional stakeholders, Communicate complex findings
Nice to Have
AI-enabled products experience, AI tools for research, AI tools for analysis, Scale quantitative research, Scale measurement practices
What You'll Do.
Lead benchmarking studies
Lead longitudinal studies
Measure user sentiment
Measure product experience
Synthesize survey data
Analyze behavioral data
Synthesize behavioral data
Analyze business data
Synthesize business data
Generate actionable insights
Inform product prioritization
Inform investment decisions
Apply statistical methods
Communicate limitations
Communicate recommendations
Partner with Qualitative Research
Partner with Analytics
Partner with Strategy
Partner with Engineering
Align on measurement strategy
Execute within ownership
Contribute to system design
Influence stakeholders
Create compelling narratives
Tie to business impact
Contribute to research systems
Contribute to measurement systems
Adopt research systems
Adopt measurement systems
Identify AI opportunities
Identify automation opportunities
Establish repeatable processes
How You'll Work.
Team & Collaboration
Product; Qualitative Research; Analytics; Growth; Strategy; Engineering
Communication Scope
Communicate findings; Communicate limitations; Communicate recommendations; Translate data; Compelling narratives
Full Job Description
**Job Requisition ID #** 26WD98230 **Position Overview** In Autodesk AEC Construction, our mission is to help teams meet the world’s rapidly expanding building and infrastructure needs while making construction more predictable, safe, and sustainable. Reporting to the Director, AEC, AI Research, User Success, the Principal User Researcher, Quantitative Research, plays a key role in helping the organization understand and improve user and product experience through rigorous quantitative research and measurement. This role leads large-scale benchmarking and sentiment measurement efforts, enabling teams to make more informed product and business decisions grounded in user evidence. This role exists to strengthen how user experience is measured across products and workflows. By leading large-scale user sentiment benchmarking surveys across key product experiences, the Principal Quantitative Researcher helps create more reliable, actionable, and trusted insights across the organization. Operating at the intersection of research, analytics, and product, this role works closely with a Senior Principal Quantitative Researcher while independently leading high-impact research initiatives. The role is highly hands-on, with a strong emphasis on designing and executing quantitative studies, analyzing large-scale survey data, and synthesizing insights across multiple data sources—including behavioral analytics and business metrics. Success in this role means improving the organization’s ability to understand user sentiment over time, identify meaningful product opportunities, and make better prioritization and investment decisions through high-quality quantitative insight. Location: Toronto, Canada or East Coast Canada preferred Travel: 2-4 times per year across North America **Responsibilities** * Lead large-scale benchmarking and longitudinal quantitative studies end-to-end that measure user sentiment and product experience over time * Analyze and synthesize survey, behavioral,
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