Quantitative Research Lead, Construction & Platform

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.

• 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, and business data to generate actionable insights that inform product prioritization and investment decisions

• Apply appropriate statistical methods and clearly communicate findings, limitations, and recommendations to stakeholders

• Partner closely with Product, Qualitative Research, Analytics, Growth, Strategy and Engineering to align on measurement strategy and priorities

• Independently drive decisions and execution within defined areas of ownership while contributing to broader system design

• Influence stakeholders at all levels by translating complex data into clear, compelling narratives tied to business impact

• Contribute to scalable research and measurement systems that can be adopted across multiple teams and domains

• Identify opportunities to leverage AI and automation (e.g., survey analysis, text analytics, insight generation) to increase speed and scale

• Establish repeatable processes, standards, and tooling that improve efficiency and consistency

• 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

• Demonstrated ability to influence cross-functional stakeholders and communicate complex findings clearly and effectively

• 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