Senior UX Researcher & Designer (Brooklyn)

ONLY LOCAL CANDIDATES IN NEW YORK WILL BE ACCOMMODATED

Key responsibilities

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

Mandatory qualifications (candidates without these will not be considered)

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

Desired qualifications

1. Certification in evaluation practice (for example, The Evaluators’ Institute) or equivalent graduate-level education in qualitative evaluation/research methodology.
2. 10+ years experience interpreting complex patterns across combined qualitative and quantitative datasets.
3. Strong understanding of statistical principles for evaluating data.
4. Experience working within cross-disciplinary product teams (product, engineering, data) to deliver user-centered services on schedule.
5. Experience facilitating group synthesis and collaborative sense-making workshops.
6. Demonstrated commitment to diverse representation and accessibility in research methods and prior projects.