Usability Analytics (6312)

itD Tech

13d

About The Position

itD is looking for a Lead Usability Analyst (UX Researcher) to lead design research across web, mobile apps, in-store digital experiences, and emerging AI-enabled touchpoints. The role involves advocating for user needs throughout the product development cycle and partnering cross-functionally to shape strategy, improve client experiences, and evolve research practices through AI-enabled tooling. As part of the User Experience team, the individual will help advance how research is conducted while maintaining rigor, participant trust, data integrity, and client privacy.

Requirements

Portfolio demonstrating digital product research experience across mobile and/or omnichannel experiences.
5–8+ years of experience in UX research, product research, or a related research role.
Practical experience using research tools, AI-enabled workflows, or emerging methods to improve research quality, speed, or impact.
Experience leading complex research initiatives that influence product, design, and cross-functional strategy.

Responsibilities

Lead high-impact studies end-to-end, using sound research judgment to select the right approach for the question at hand.
Conduct foundational research to inform product and design strategy across complex, high-priority initiatives.
Analyze qualitative research data, including usability tests, interviews, participatory design, and heuristic evaluations, and synthesize findings with quantitative and behavioral data.
Translate research findings into actionable insights and specific design recommendations.
Connect research signals across projects to identify patterns, synergies, and broader opportunities.
Communicate insights through clear, compelling storytelling that makes complex research actionable for partners ranging from developers to executives.
Use approved AI tools to accelerate study setup, analysis, synthesis, desk research, survey drafting, and reporting while maintaining rigor, researcher judgment, and accountability for conclusions.
Design research for AI-driven experiences, including agentic, conversational, and personalized AI features.
Evaluate AI experiences for usability, trust, transparency, and the difference between what users say they want and how they actually behave.
Contribute to responsible AI practices in research, including appropriate handling of participant data and PII, awareness of model limitations and bias, appropriate disclosure, and human validation of AI-generated outputs before they inform decisions.
Help maintain a well-organized, easily accessible, and increasingly AI-queryable knowledge base of past research, such as searchable insight repositories, so prior learnings are discoverable and reusable across teams and tools.
Connect research insights to shared product, design, and engineering workflows so evidence reaches partners where they work.
Act as a thought partner in discovery, strategy, and problem framing.
Navigate ambiguity across project priorities, concurrent workstreams, and problem spaces, bringing clarity to changing scope, user needs, and decisions.
Mentor researchers and designers in a user-centered process and help raise the bar on methodology, AI-enabled practices, and insight quality across the team.
Evaluate emerging research methods, AI tools, and ways of working; help the team adopt approaches that add value and phase out those that do not.
Attend regular internal practice community meetings.
Collaborate with your itD practice team on industry thought leadership.
Complete client case studies and learning material. (Blogs, media material).
Build out material to contribute to Digital Transformation practice.
Attend internal itD networking events (in person and virtual).
Work with leadership on career fast-track opportunities.