Workplace Research Manager

Quick Facts

Workplace Research Manager (Individual contributor) — own the global Site Experience Survey Program and turn employee sentiment into actionable workplace insights.

Description

You will serve as the primary owner, operational driver, and analytical engine of the global Site Experience Survey Program. This role translates employee sentiment into executive-ready findings by combining survey data with spatial telemetry and observational inputs, using quantitative methods and modern automated/AI-supported workflows.

Role Responsibilities

• Own and execute the end-to-end global Site Experience Survey Program, including longitudinal benchmarking and continuous refinement of survey instruments
• Use statistical techniques (correlation, regression, key driver analysis, segmentation) to uncover drivers and non-obvious trends across multi-office datasets
• Partner to integrate employee sentiment with spatial telemetry (occupancy patterns and room utilization) to co-develop executive-ready recommendations for workplace design and capital investment decisions
• Provide subject matter expertise on survey/questionnaire design (question design, rating scales, and practical sampling strategies) across scenarios like pilot evaluations, guest experience, meeting/event feedback, and pre-design needs assessments
• Manage day-to-day survey operations and data hygiene: configure and maintain templated instruments, coordinate distribution, and prepare clean datasets for analysis
• Work with technology/data teams to evolve self-serve dashboards and streamline qualitative text analytics using AI tools

Requirements

• 4+ years of hands-on experience designing, fielding, and analyzing quantitative surveys in relevant domains (corporate real estate, workplace strategy, environmental psychology, people analytics, or applied organizational research)
• Quantitative skills including significance testing, correlation, regression modeling, and key driver analysis
• Survey design fundamentals (scale reliability and questionnaire design)
• Experience configuring and managing survey instruments in enterprise platforms (SurveyMonkey, Qualtrics, or similar)
• Data preparation skills: cleaning, transforming, and joining datasets using SQL plus Python/pandas or R/tidyverse (or similar)
• Proficiency with open-source statistical tools (R or Python) to run exploratory and inferential analysis

Benefits

• Time off programs
• Medical, dental, and vision insurance
• Mental health support
• Paid parental leave
• Life and disability insurance
• 401(k)
• Employee stock purchasing program
• AI agents to accelerate impact