What are the responsibilities and job description for the Senior UX Researcher & Designer position at UXR Hunt?
ONLY LOCAL CANDIDATES IN NEW YORK WILL BE ACCOMMODATED
Key responsibilities
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.
- 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.
- 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.