Senior UX Researcher & Designer

ONLY LOCAL CANDIDATES IN NEW YORK WILL BE ACCOMMODATED

Key responsibilities

Plan and execute end-to-end user research for high-priority public services to define problems and identify evidence-based opportunities. Collaborate with product managers, digital strategists, analytics, engineers and other researchers to develop research plans, hypotheses, and user requirements. Synthesize qualitative findings with behavioral/analytics data to provide a holistic view of user experience and inform product decisions. Produce clear, well-documented research deliverables (reports, personas, journey maps, recommendations) that drive stakeholder decision-making. Audit and advance the team’s research toolkit; introduce new methodologies to broaden insight capture and strengthen a data-driven culture. Create wireframes and user journey maps from research insights and product requirements.

Mandatory qualifications (candidates without these will not be considered)

Minimum 8 years of professional experience in UX research and design. Proven expertise leading both generative research (field studies, interviews) and evaluative research (usability testing, A/B testing), and converting insights into wireframes and journeys. Demonstrated ability to translate research hypotheses into actionable, mixed-method research plans with statistically sound analysis. Experience recruiting participants that match required demographic and behavioral profiles. Deep familiarity with methodologies that avoid over-generalization, sample underrepresentation, and correlation/causation errors. Track record of promoting creative, evidence-informed design solutions and cultivating user-centered practices among cross-departmental stakeholders.

Desired qualifications

Certification in evaluation practice (for example, The Evaluators’ Institute) or equivalent graduate-level education in qualitative evaluation/research methodology. 10+ years experience interpreting complex patterns across combined qualitative and quantitative datasets. Strong understanding of statistical principles for evaluating data. Experience working within cross-disciplinary product teams (product, engineering, data) to deliver user-centered services on schedule. Experience facilitating group synthesis and collaborative sense-making workshops. Demonstrated commitment to diverse representation and accessibility in research methods and prior projects.