Lead User Experience Researcher

UKG•Lowell, MA

14h•$150,500 - $214,500

About The Position

UKG is building an AI-first suite of HR, payroll, workforce management, and culture technology products supporting more than 80,000 organizations. The Lead User Experience Researcher will join the User Experience Research team and report to the head of UX Research. In this leadership role, they will partner with Product, Product Operations, Data Science, Data Engineering, Engineering, and UX teams to improve AI-enabled product experiences. The role leads quantitative and behavioral research to understand how customers and end users adopt, trust, and use AI-powered products. It connects behavioral data, user sentiment, experimentation, and product outcomes to generate actionable insights and guide product strategy. The researcher will also mentor colleagues and strengthen quantitative, behavioral, and data science capabilities across the UX Research team.

Requirements

7+ years of experience in behavioral research, behavioral analytics, data science, or a related field within digital product environments.
Experience conducting quantitative and behavioral research that drives measurable user and business outcomes.
Experience building research data infrastructure, behavioral instrumentation, reporting frameworks, dashboards, or measurement programs.
Expertise with methods such as experimentation, A/B testing, predictive modeling, segmentation, cluster analysis, conjoint modeling, or behavioral telemetry analysis.
Experience analyzing adoption, trust, reliance behaviors such as following, verifying, or overriding recommendations, friction, and outcome patterns.
Experience with AI-assisted or conversational experiences, including familiarity with machine learning, natural language processing, conversational analytics, journey modeling, or intent modeling.
Strong SQL skills and experience working with large-scale behavioral and product datasets.
Experience creating actionable insights, visualizations, dashboards, and executive-ready narratives.
Ability to translate complex data into clear recommendations and influence product strategy through cross-functional partnership.
Strong curiosity, reasoning, problem-solving, communication, and collaboration skills.

Nice To Haves

Experience with enterprise software as a service (SaaS), workforce technology, human resources technology, or AI-enabled productivity platforms.
Experience with Power BI, Looker, Visual Studio Code, Tableau, Claude, or similar analytics and AI-assisted tools.
Experience partnering with Product, Product Operations, Data Science, Engineering, and UX teams on experimentation, onboarding, and AI experience optimization.
Experience mentoring researchers or advancing quantitative, behavioral, and analytical practices across a UX organization.
A collaborative approach grounded in respect, humility, curiosity, and entrepreneurial thinking.

Responsibilities

Lead behavioral research and analytics focused on adoption, trust, reliance, friction, hesitation, abandonment, and value realization.
Develop descriptive and predictive insights across user segments, roles, journeys, and product experiences.
Design behavioral telemetry and measurement frameworks that capture meaningful interactions, workflows, and touchpoints.
Lead experiments, including A/B tests and quasi-experiments, to evaluate features, nudges, defaults, and levels of automation.
Establish metrics to measure adoption, trust calibration, sustained usage, intervention effectiveness, and appropriate AI reliance.
Translate complex behavioral and product data into decision frameworks, recommendations, and executive-ready narratives.
Influence senior stakeholders on AI adoption, time-to-value, confidence-to-action, and product experience optimization.
Partner with Product, Data Science, and Data Engineering to build scalable systems for behavioral data collection, experimentation, dashboards, and continuous insight generation.
Mentor researchers and strengthen quantitative, behavioral, and data science capabilities across the UX Research team.