UX Research Operations (ResOps) Specialist

📍 Job Overview

Job Title: UX Research Operations (ResOps) Specialist

Company: interactive investor

Location: Manchester, England, United Kingdom

Job Type: FULL_TIME

Category: UX Research Operations

Date Posted: 2026-06-25

Experience Level: Mid-Level (2-5 years)

Remote Status: Hybrid (3 days in office, 2 days remote)

🚀 Role Summary

• Drive operational efficiency and scalability within the UX Research function by optimizing workflows, tooling, and governance.

• Facilitate ethical and compliant research practices through robust participant operations, data privacy adherence, and stakeholder alignment.

• Champion the adoption of AI and emerging technologies to accelerate research synthesis, analysis, and operational processes.

• Enhance collaboration and knowledge sharing across UX Research, Product, Engineering, and other business units.

• Establish and maintain operational maturity, including robust systems for insight management and repository organization.

📝 Enhancement Note: This role is critical for enabling the UX Research team to operate at a higher level of efficiency and impact. While not directly conducting primary research, the specialist is instrumental in building and maintaining the operational infrastructure that supports high-quality, scalable research outcomes. The focus is on process, systems, and enablement rather than direct research strategy.

📈 Primary Responsibilities

• Analyze and optimize existing UX research workflows to identify and eliminate inefficiencies, bottlenecks, and operational risks.

• Define, implement, and continuously improve scalable research operations processes, standards, and frameworks for research intake, prioritization, and delivery support.

• Manage and optimize the UX research tool ecosystem, including licensing, access, onboarding, and usage guidance for platforms like UserTesting, Dovetail, and similar tools.

• Lead the evaluation, testing, and introduction of new tools, automations, and AI technologies to enhance research efficiency, accelerate synthesis, and improve operational scalability.

• Oversee the management and maintenance of research collaboration, documentation, and knowledge management platforms (e.g., Confluence, SharePoint, Airtable), ensuring accuracy, organization, and accessibility.

• Establish and enforce standards for repository structure, tagging, naming conventions, and research data handling to ensure consistency, scalability, and regulatory compliance (e.g., GDPR).

• Support participant operations, including recruitment coordination, scheduling, communications, and incentive management, while ensuring adherence to consent and privacy requirements.

• Partner with Legal, Compliance, and Data Privacy teams to ensure all research operations align with organizational policies and regulatory standards.

• Facilitate operational rituals, such as research critiques, retrospectives, and knowledge-sharing sessions, to foster continuous improvement and collaboration.

• Define, track, and report on key operational metrics for the research team (e.g., recruitment efficiency, study throughput, repository usage) to identify trends and opportunities for advancement.

📝 Enhancement Note: The responsibilities emphasize a blend of process improvement, system administration, and strategic enablement. The role requires a proactive approach to identifying and solving operational challenges that impact research team productivity and output quality. Emphasis on AI adoption and data governance indicates a forward-looking approach to research operations.

🎓 Skills & Qualifications

Education: While no specific degree is mandated, a Bachelor's degree in a related field such as Human-Computer Interaction, Psychology, Information Science, Business Administration, or a related discipline would be advantageous. Equivalent practical experience will also be considered.

Experience: A minimum of 2-5 years of experience in a relevant operational or enablement role within UX Research, Product Management, Service Design, or Digital Delivery environments is required.

Required Skills:

• Proven experience in improving operational processes, systems, tooling, governance, or workflows.

• Strong understanding of UX Research methodologies, participant operations, and cross-functional collaboration models.

• Excellent organizational, communication, and problem-solving skills with a keen eye for detail.

• Demonstrated ability to manage multiple priorities effectively in a dynamic environment.

• Proactive approach to identifying and implementing operational improvements and efficiencies.

• Strong stakeholder management and collaboration abilities, with experience working across diverse teams. Preferred Skills:

• Hands-on experience with UX Research tools such as Dovetail, UserTesting.com, Maze, Qualtrics, or similar platforms.

• Exposure to participant recruitment processes, research panel management, or research governance frameworks.

• Background in project management, service design, or delivery enablement roles.

• Experience working within agile, cross-functional product teams.

• Familiarity with accessibility considerations, GDPR, consent management, and research ethics.

• A demonstrated interest in and awareness of AI tooling, workflow automation, and emerging technologies.

📝 Enhancement Note: The "Desirable" skills highlight a preference for candidates who have direct experience with specific UX research tools and a foundational understanding of compliance and ethical research practices. The emphasis on AI and automation signals a desire for a candidate who can drive innovation in the ResOps space.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Demonstrable examples of process improvement initiatives, showcasing before-and-after scenarios with quantifiable results.

• Case studies detailing the implementation or optimization of operational systems or tools, highlighting problem identification and solution deployment.

• Documentation showcasing the development or refinement of workflows, research intake processes, or participant management frameworks.

• Evidence of managing or contributing to knowledge management systems, repositories, or documentation platforms, emphasizing organization and accessibility.

• Examples of operational metrics tracked and reported on, illustrating impact on efficiency, scalability, or research team effectiveness. Process Documentation:

• Showcase your ability to document complex processes clearly and concisely, including workflow diagrams, standard operating procedures (SOPs), and best practice guides.

• Provide examples of how you have standardized and scaled operational processes to ensure consistency and efficiency across a team or department.

• Illustrate your approach to managing and maintaining operational documentation, ensuring it remains up-to-date, accessible, and relevant.

📝 Enhancement Note: Candidates should prepare