Job description

Strength in Trust OneTrust’s mission is to enable innovation through the responsible use of data and AI. We believe that ensuring data is trusted shouldn’t slow teams down—it should accelerate what’s possible. This led us to develop the first technology platform for responsible data use in 2016. Today, with AI representing the latest and most impactful expansion of data yet, OneTrust is once again redefining what responsible innovation looks like. OneTrust, the AI‑Ready Governance Platform™, unifies regulatory intelligence, automation, and connected governance workflows so businesses can continue to move at the speed of AI while ensuring good governance to prevent data misuse at scale. Trusted by thousands of organizations worldwide, OneTrust is shaping the future where trusted data becomes a transformative force for business and society. The Challenge OneTrust's platform supports complex, regulated workflows across privacy, consent, risk, and AI governance. Bringing m easurement maturity to all these areas will help drive a new level of visibility into user experience, ultimately helping our customers achieve their goals. We are hiring a Senior Quantitative UX Researcher to support our teams in data-driven decision-making: to define how experience is measured across the platform, to ensure the underlying data is valid and defensible, and to deliver analysis that informs roadmap decisions. This is the first quantitative research role on a newly expanded UX Research team, responsible for making our numbers defensible and then making them useful. You'll define how we measure the user experience of a complex enterprise platform, build the survey and behavioral measurement that answers real roadmap questions, and partner with designers and mixed methods researchers so that findings arrive with both the scale and the "why." What you'll do Design and run quantitative studies: benchmarking, segmentation, driver analysis, prioritization research, unmoderated testing at scale, longitudinal tracking. Apply appropriate statistical methods and say plainly where the data cannot support the conclusion someone wants. Contribute quantitative evidence to our reports and planning inputs. Use storytelling methods to present data to product teams, UX, and R&D leadership. Contribute to and evolve the metric and continuous customer sentiment approach: sampling, instrument design, coding taxonomy, reporting cadence, and the reconciliation between raw data and BI reporting. Bring behavioral telemetry, survey data, and business signals (adoption, churn reasons, support volume) into one coherent view of experience health. Audit existing instrumentation and survey coding for validity, and frame what you find as evidence-backed findings rather than initiatives. Diagnose the difference between a real behavior change and a measurement artifact — and build the checks that catch it next time. Coach teams - Research efforts at OneTrust are shared between dedicated researchers and designers. You'll coach teams on their use of quantitative data. Review others' quantitative work against a consistent bar. What you'll bring Required 6+ years in quantitative or mixed-methods UX research, market research, or product analytics, including work on complex B2B or enterprise software. Deep survey methodology: sampling and its limits, questionnaire and scale construction, non-response and self-selection bias, longitudinal design. Practical statistical fluency: significance testing, regression, segmentation and clustering, factor analysis and the judgment to choose the simplest method that answers the question. Working proficiency in SQL plus R or Python for analysis. Hands-on experience with product analytics platforms (Pendo, Amplitude, Mixpanel, Heap, or similar), including defining and auditing instrumentation. Experience with BI and warehouse environments (Power BI, Tableau, or Looker; Snowflake or equivalent). A track record of metrics you defined that were adopted and used in decisions. Ability to state limitations clearly and hold a position under challenge. Preferred Formal UX benchmarking experience (UX-Lite, SUS, SUPR-Q, task-based benchmarking). Experimentation in enterprise contexts, where traffic is low and assignment is rarely random. Familiarity with privacy, GRC, security, or another regulated, workflow-heavy domain. Experience partnering with Engineering or QE on instrumentation standards. Graduate training in a quantitative social science, HCI, statistics, or a related field. For California, Colorado, Connecticut, Nevada, New York, Rhode Island, and Washington-based candidates: the annual base pay range for this role is listed below. Within this range, individual pay is determined by several factors, including location, job-related skills, work experience, and relevant education and/or training. This role may also be eligible for discretionary bonuses, equity, and/or commissions, as well as benefits. Salary Range $116,475 — $174,713 USD Where we Work We are embracing an office-first culture, encouraging three days a week in office for most roles, with meaningful opportunities to collaborate and celebrate in person. Each role may have specific requirements or flexibility depending on the scope of the position, so we encourage you to verify this with your recruiter during your first interview. Benefits As an employee at OneTrust , you will be part of the OneTeam . That means you’ll receive support physically, mentally, and emotionally so that you can do your best work both in and out of the office. This includes comprehensive healthcare coverage, flexible PTO, equity RSUs, annual performance bonus opportunities, retirement account support, 14+ weeks of paid parental leave, career development opportunities, company-paid privacy certification exam fees, and much more. Specific benefits differ by country. For more information, talk to your recruiter or visit onetrust.com/careers. Resources Check out the following to learn more about OneTrust and its people: OneTrust Careers on YouTube @LifeatOneTrust on Instagram Your Data You have the right to have your personal data updated or removed. You also have the right to have a copy of the information OneTrust holds about you. Further details about these rights are available on the website in our Privacy Overview . You can change your mind at any time and have your personal data removed from our database. In order to do this you must contact us and let us know you wish to be removed. The request should be made on the Data Subject Request Form . Recruitment fraud warning: OneTrust is aware of scams involving false offers of employment with our company. The fraudulent jobs, interviews and job offers use fake websites, email addresses, group chat and text messages. Be aware that we never ask candidates for personal information, IDs or bank information during the interview process. We do not interview prospective candidates via instant message or group chat, and do not require candidates to purchase products or services, or process payments on our behalf as a condition of any employment offer. Please note that any legitimate interview availability requests will come directly from a OneTrust recruiter with an "@onetrust.com" email address. You may also receive legitimate emails from "@us.greenhouse-mail.io". Recruiters will only reach out to candidates who have applied for a role through our ATS (Greenhouse) or prospects via LinkedIn InMail. Job offers will come from a recruiter and may have a "@docusign.net" email address. For more information or if you have been targeted please reach out to askrecruiting@onetrust.com . Our Commitment to You When you join OneTrust you are stepping onto a launching pad — the countdown has begun. The destination? A career without boundaries working alongside a diverse and inclusive crew who is passionate about doing meaningful work. As a pioneer, your voice and expertise will help chart the direction of an entirely new category. Our commitment to putting people first starts with you. Your growth is part of the mission. Our goal is to give you the power to embark on the next phase of your uniquely, unique career. OneTrust provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by local laws.

Requirements

Must-haves

Strength in Trust
Design and run quantitative studies: benchmarking, segmentation, driver analysis, prioritization research, unmoderated testing at scale, longitudinal tracking.
Apply appropriate statistical methods and say plainly where the data cannot support the conclusion someone wants.
Contribute quantitative evidence to our reports and planning inputs.
Use storytelling methods to present data to product teams, UX, and R&D leadership.
Contribute to and evolve the metric and continuous customer sentiment approach: sampling, instrument design, coding taxonomy, reporting cadence, and the reconciliation between raw data and BI reporting.
Bring behavioral telemetry, survey data, and business signals (adoption, churn reasons, support volume) into one coherent view of experience health.
Audit existing instrumentation and survey coding for validity, and frame what you find as evidence-backed findings rather than initiatives.
Diagnose the difference between a real behavior change and a measurement artifact — and build the checks that catch it next time.
Coach teams - Research efforts at OneTrust are shared between dedicated researchers and designers. You'll coach teams on their use of quantitative data.
Review others' quantitative work against a consistent bar.
6+ years in quantitative or mixed-methods UX research, market research, or product analytics, including work on complex B2B or enterprise software.
Deep survey methodology: sampling and its limits, questionnaire and scale construction, non-response and self-selection bias, longitudinal design.
Practical statistical fluency: significance testing, regression, segmentation and clustering, factor analysis and the judgment to choose the simplest method that answers the question.
Working proficiency in SQL plus R or Python for analysis.
Hands-on experience with product analytics platforms (Pendo, Amplitude, Mixpanel, Heap, or similar), including defining and auditing instrumentation.
Experience with BI and warehouse environments (Power BI, Tableau, or Looker; Snowflake or equivalent).

Nice-to-haves

Formal UX benchmarking experience (UX-Lite, SUS, SUPR-Q, task-based benchmarking).
Experimentation in enterprise contexts, where traffic is low and assignment is rarely random.
Familiarity with privacy, GRC, security, or another regulated, workflow-heavy domain.
Experience partnering with Engineering or QE on instrumentation standards.
Graduate training in a quantitative social science, HCI, statistics, or a related field.
We are embracing an office-first culture, encouraging three days a week in office for most roles, with meaningful opportunities to collaborate and celebrate in person.
Each role may have specific requirements or flexibility depending on the scope of the position, so we encourage you to verify this with your recruiter during your first interview.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aisqlpython

Platform: greenhouse
Effort: quick

Benefits

Benefits detected in the listing.

Pto

Parental Leave