Role Description
You will join a forward-thinking research team supporting the internal IT & Operations Employee Experience (EX) portfolio for a major enterprise client. As a Senior UX Researcher, your primary focus will be uncovering core user tasks using Jobs-to-Be-Done (JTBD) frameworks and evaluating AI-enabled solutions, self-service tools, and digital workplace systems. You will translate complex user behaviors into decision-ready insights that boost workforce productivity, establish user trust in AI, and reduce operational friction before solutions scale across the organization.
Key Responsibilities
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End-to-End Research Execution:
Independently scope, plan, and conduct mixed-method (qualitative and quantitative) research studies, navigating ambiguous questions to deliver actionable, decision-ready recommendations.
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AI & Self-Service Evaluation:
Plan and moderate user studies evaluating AI assistants, automated workflows, and self-service experiences to identify adoption barriers, trust issues, and validation needs prior to full rollout.
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JTBD Framework Maintenance:
Maintain, extend, and apply Jobs-to-Be-Done (JTBD) frameworks across internal product initiatives, updating research artifacts to align new tool evaluations with the enterprise suite.
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Material & Pipeline Management:
Develop end-to-end research assets, including recruitment screeners, test plans, participant criteria, and protocol materials for high-priority projects.
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Insight Synthesis & Storytelling:
Synthesize complex findings into clear, executive-ready presentations, research artifacts, and actionable stakeholder readouts.
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Cross-Functional Alignment:
Partner closely with Product, Design, Engineering, Operations, and Service Management teams to validate tooling decisions and optimize workflows.
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Research Artifact Traceability:
Document and maintain traceable research findings, decision logs, and insights within shared collaboration systems and research repositories.
Qualifications
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5+ years of hands-on UX Research experience at a senior Individual Contributor (IC) level, with proven autonomy in scoping, executing, and synthesizing studies.
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Advanced skills in selecting, executing, and analyzing both qualitative and quantitative research methodologies.
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Direct experience researching enterprise internal tools, employee experience (EX), or complex cross-functional operational workflows.
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Demonstrated experience developing and applying Jobs-to-Be-Done (JTBD) or comparable strategic frameworks to drive product and operational decisions.
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Hands-on experience with modern research platforms for participant recruitment, moderated/unmoderated testing, surveys, and insight synthesis/repository tools.
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Strong stakeholder management skills across Product, Design, Engineering, and Operations teams.
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Exceptional written and verbal communication skills, including concise readouts and executive-ready storytelling.
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Experience researching AI-enabled products, virtual assistants, or automation, specifically focusing on user trust, validation behaviors, reliance, and rollout readiness.
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Experience with employee experience platforms, IT Service Management (ITSM), self-service support, or enterprise collaboration platforms.
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Proven track record of scaling or evolving a JTBD framework across diverse product and service areas.
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History of shipping impactful research that directly influenced enterprise tooling, AI adoption, or self-service efficiency.
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Experience partnering with product teams through launch, measurement, and post-implementation phases to track long-term impact.
Time Zone & Collaboration
The role requires collaboration with teams aligned to Eastern Time (ET). Flexibility to overlap with North America business hours is expected.
Language
All interviews, documentation, and daily communication will be in English.