Senior UX Researcher

📍 Job Overview

Job Title: Senior UX Researcher

Company: Edreams ODIGEO

Location: Barcelona, Catalonia, Spain

Job Type: Full-Time

Category: User Experience Research / Product Operations

Date Posted: 2026-08-12

Experience Level: 5-10 Years

Remote Status: Hybrid

🚀 Role Summary

• Spearhead strategic UX research initiatives for the core Prime subscription business, driving acquisition, engagement, and retention strategies.

• Conduct end-to-end mixed-methods research, synthesizing qualitative and quantitative data into actionable insights for executive leadership.

• Lead and scale research operations, including participant recruitment and the responsible integration of AI in research workflows.

• Serve as the dedicated research and intelligence partner for Prime, influencing product roadmaps and business decisions with evidence-based recommendations.

• Collaborate cross-functionally with Product, Design, Data, CRM, Legal, and Privacy teams to ensure a cohesive understanding of the Prime member journey.

📝 Enhancement Note: This role is positioned as a critical strategic partner, not just an executor of research. The emphasis on influencing Product Directors and executive leaders, managing the "strategic research roadmap," and connecting research to "growth, revenue, and experience" indicates a high level of impact and autonomy expected from the Senior UX Researcher. The integration of AI into research workflows and the focus on research operations infrastructure suggest a forward-thinking approach to research execution.

📈 Primary Responsibilities

• Manage and execute the strategic research roadmap across the entire Prime lifecycle, encompassing acquisition, onboarding, engagement, adoption, and retention phases.

• Prioritize key research initiatives to directly inform Prime's strategy, growth objectives, revenue targets, and overall member experience.

• Execute comprehensive generative, evaluative, and mixed-methods research studies, leveraging a variety of techniques to uncover user needs and behaviors.

• Synthesize complex user feedback, behavioral data, and research findings into clear, concise, and actionable insights for product and executive teams.

• Maintain a robust "Evidence and Opportunity Portfolio," ensuring traceability of findings to their sources and clearly defined action items.

• Link research-backed decisions directly to product execution and measure their impact on key business outcomes and KPIs.

• Coordinate and manage research demand and cross-functional dependencies, ensuring efficient resource allocation and collaboration across product teams.

• Connect research insights across different product verticals (flights, hotels, rail, etc.) to map the end-to-end Prime member journey and break down organizational silos.

• Balance competing priorities for research resources, participant recruitment, and CRM capacity to optimize research output.

• Establish clear delivery plans, identify key decision points, manage risks, and define escalation paths for complex and high-impact research initiatives.

• Directly support cross-product research efforts that shape Prime's overarching strategy and enhance the member experience.

• Advise Prime Product Directors and executive leadership with high-impact, actionable research insights that de-risk product investments and identify opportunities.

• Summarize complex evidence into clear recommendations, clearly outlining trade-offs, potential risks, and confidence levels associated with insights.

• Regularly communicate research priorities, knowledge gaps, and emerging insights to leadership to ensure alignment and strategic focus.

• Guide product roadmaps and investment decisions using objective, evidence-based data to ensure strategic alignment and maximize ROI.

• Lead team-wide CRM participant recruitment as the primary owner, managing workflows, prioritization, targeting, scheduling, incentives, and quality assurance.

• Maintain a central roadmap, calendar, and contact records for cross-team research outreach, ensuring efficient and coordinated participant engagement.

• Enforce critical controls for participant contact frequency, fatigue, privacy, consent, and sample quality to maintain research integrity.

• Align cross-team recruitment efforts to eliminate duplicate outreach and prevent scheduling conflicts, optimizing the participant experience.

• Monitor campaign metrics and member-contact risks to continuously improve the CRM operating model and recruitment efficiency.

• Build and scale research infrastructure, including defining RACI matrices, Standard Operating Procedures (SOPs), intake processes, and research templates.

• Set clear standards for research planning, participant management, evidence traceability, and overall research quality.

• Track operations metrics to identify and remove bottlenecks, thereby increasing research speed, reliability, and output volume.

• Partner with User Research leadership and UX Design Operations to clearly define operational ownership and responsibilities.

• Develop business cases for dedicated Research Operations capacity and resources as needed to support scaling efforts.

• Scale responsible AI workflows from the planning and validation stages through to impact tracking, ensuring ethical and effective AI integration.

• Prioritize AI use cases that demonstrably clear bottlenecks, improve accessibility, or enhance research efficiency.

• Establish robust validation, privacy, traceability, and quality controls for all AI-driven research workflows.

• Pilot and scale AI workflows based on demonstrated quality improvements and measurable output impact.

• Drive adoption of AI tools and workflows through clear guidelines and best practices, while maintaining researcher accountability for quality and ethical use.

📝 Enhancement Note: The responsibilities are heavily focused on strategic impact, operational excellence, and leadership. The emphasis on "managing the strategic research roadmap," "linking research-backed decisions to execution and measurable results," and "advising Product Directors and executives" highlights the senior-level expectations. The detailed breakdown of "Research Operations" and "AI Transformation and Operations" indicates a significant responsibility for building and optimizing the infrastructure and processes that enable efficient and effective UX research at scale.

🎓 Skills & Qualifications

Education: While not explicitly stated, a Bachelor's or Master's degree in Human-Computer Interaction (HCI), Psychology, Sociology, Anthropology, Cognitive Science, Computer Science, or a related field is typically expected for a Senior UX Researcher role.

Experience: 5+ years of dedicated UX or behavioral research experience within digital products, e-commerce, SaaS platforms, or subscription-based services is essential.

Required Skills:

• 5+ years of UX/behavioral research experience in digital products, e-commerce, SaaS, or subscription models.

• Proven leadership in developing and executing strategic research initiatives that directly influence product roadmaps and critical business decisions.

• Strong, demonstrated expertise in mixed-methods research, encompassing both qualitative (e.g., interviews, usability testing, ethnographic studies) and quantitative (e.g., surveys, analytics, A/B testing analysis) methodologies.

• Advanced skill in synthesizing multi-source evidence, including user feedback, behavioral data, and market trends, into actionable, strategic recommendations.

• Proven ability to advise, influence, and effectively communicate with Product Directors and executive-level stakeholders, translating research findings into business impact.

• Experience in managing participant recruitment processes, customer panels, and building scalable research operations frameworks.

• Strong systems thinking capabilities to design and implement governance structures, efficient workflows, and measurable operational controls for research.

• Demonstrated success in cross-functional collaboration with Product Management, UX Design, Data Science, CRM, Legal, and Privacy teams.

• Applied experience using AI tools and workflows in research, with a strong emphasis on maintaining evidence quality and upholding privacy standards.

• Excellent written and verbal English communication skills, with the ability to articulate complex findings clearly and persuasively. Preferred Skills:

• Advanced proficiency in survey design, experimentation design, or statistical analysis using tools like R, Python, SPSS, SQL, or advanced Excel functions.

• Experience with UX lab environments, including conducting experimental research, eye-tracking studies, or biometric data analysis.

• Specialized research experience in membership, subscription programs, loyalty initiatives, customer retention strategies, or Lifetime Value (LTV) optimization.

• Familiarity with the travel industry, international e-commerce platforms, or mapping complex multi-product user journeys.

• Experience with research repositories, taxonomies, knowledge management systems, or AI-powered insights platforms.

• Proven ability to coordinate participant recruitment via CRM systems or owned customer communication channels.

• Experience in setting and enforcing participant-contact frequency, fatigue, or sampling policies.

• Cross-country, multi-language, or cross-cultural research experience, demonstrating adaptability to diverse user bases.

• Fluency in Spanish, German, French, or Italian, in addition to standard English proficiency.

• Demonstrated comfort and practical application of AI tools such as Gemini or other AI-powered assistants in research workflows.

• An experimentation mindset, characterized by curiosity and an eagerness to explore, experiment with, and integrate emerging AI-driven solutions.

• Ability to effectively leverage AI tools to streamline research processes and enhance overall productivity.

• Adaptability and strong learning agility, with enthusiasm for continuously learning and quickly adapting to new AI features and capabilities.

📝 Enhancement Note: The "Preferred Qualifications" section strongly emphasizes AI integration and an experimental mindset, indicating that candidates who can demonstrate practical experience with AI tools and a proactive approach to adopting new technologies will be highly favored. The distinction between "Essential" and "Valuable additional" experience helps candidates prioritize their skills and experiences when applying.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• A portfolio showcasing a minimum of 3-5 significant UX research projects, demonstrating end-to-end execution from problem definition to actionable insights.

• Case studies should clearly articulate the research objectives, methodologies employed (qualitative, quantitative, mixed-methods), challenges faced, and the impact of the research on product decisions and business outcomes.

• Evidence of strategic thinking, including how research informed product roadmaps, identified key opportunities, or de-risked significant investments.

• Demonstrations of influencing executive stakeholders (Product Directors, VPs) with research findings, including examples of presentations or reports tailored for leadership.

• Examples of research operations initiatives, such as process improvements, recruitment strategies, or the development of research infrastructure (e.g., SOPs, templates).

• If applicable, include examples of how AI tools were leveraged to enhance research efficiency, data analysis, or insight generation, with clear documentation of the process and outcomes. Process Documentation:

• Showcase examples of how research processes were documented, standardized, or optimized. This could include:

  • Workflow designs for research intake, planning, and execution.

  • Standard Operating Procedures (SOPs) for participant recruitment, data collection, or insight synthesis.

  • Templates used for research plans, discussion guides, or final reports.

  • Metrics and KPIs used to measure the effectiveness and efficiency of research operations.

  • Documentation related to AI integration, including guidelines for responsible use, privacy considerations, and quality control measures.

📝 Enhancement Note: The emphasis on "strategic research," "influencing executive stakeholders," and "measurable results" means the portfolio should not just present research studies but demonstrate the candidate's ability to drive business impact through research. The inclusion of "research operations initiatives" and "AI integration" suggests that candidates should highlight their experience in building and optimizing research processes and leveraging new technologies.

💵 Compensation & Benefits

Salary Range: Based on industry benchmarks for Senior UX Researchers in Barcelona with 5-10 years of experience, a competitive salary range is estimated between €55,000 and €75,000 annually, depending on specific experience, skills, and negotiation.

Benefits:

• Prime Plus Membership: Exclusive access to the company's flagship subscription program.

• Competitive Salary & Bonuses: A rewarding compensation package, including performance-based bonuses.

• Flexible Benefits: A customizable benefits package to suit individual needs.

• Birthday Day Off: An extra day off to celebrate your birthday.

• Discounts and Partnerships: Access to various discounts and partner offers.

• Relocation Support: Assistance for candidates relocating to Barcelona.

• Premium Equipment: Provision of premium equipment with role-based selection options and device ownership opportunities through the equipment lifecycle program.

• Continuous Learning:

  • Free Coursera access for professional development.
  • Regular soft skills workshops.
  • Access to tech training and specialized skill development.
  • Leadership development programs.
  • Comprehensive onboarding program.

• Growth Opportunities:

  • Personalized career paths designed for progression.
  • The eVOLVE Program for career development and growth.
  • Internal mobility opportunities for horizontal and vertical career changes.

• Work-Life Balance & Flexibility:

  • Hybrid home-office model focused on outcomes.
  • Flexibility to find the right work-personal life balance.

• Team & Social Activities:

  • Regular after-work events and social gatherings.
  • Padel tournaments and other sports activities.
  • Company parties and celebrations.
  • Opportunities to join communities based on shared passions (sports, music, etc.).

• Office Perks:

  • No dress code policy.
  • Free fruit, coffee, and tea available at offices.

• Dynamic and Healthy Environment:

  • Agile mindset environment.

  • Recognition programs.

  • Emphasis on innovation, risk-taking, and idea sharing. Working Hours: The role operates on a standard 40-hour work week. The company promotes a hybrid model with a focus on outcomes, allowing for flexibility in scheduling within operational needs.

📝 Enhancement Note: The salary estimate is based on general market data for senior-level roles in Barcelona, a major European city with a significant tech presence. The benefits package is extensive and highlights the company's investment in employee growth, well-being, and work-life balance, which are attractive to experienced professionals. The "Hybrid home-office model focused on outcomes" suggests a results-oriented culture with flexibility.

🎯 Team & Company Context

🏢 Company Culture

Industry: Edreams ODIGEO operates within the Online Travel Agency (OTA) and Travel Subscription sector. As a leading global travel subscription platform, the company leverages technology, particularly AI, to personalize travel experiences and offer subscription-based access to travel services. This industry is highly competitive, fast-paced, and driven by customer experience, pricing, and technological innovation.

Company Size: Edreams ODIGEO is a large organization, indicated by its numerous brands and global presence. This typically means established processes, significant resources, but also potential for bureaucracy. For operations professionals, a larger company often translates to opportunities for specialization, cross-functional collaboration on a larger scale, and potential for career advancement within a structured environment.

Founded: While the founding date for Edreams ODIGEO as a combined entity isn't explicitly stated in the provided data, the individual brands have histories dating back to the early 2000s. The pioneering of the Prime subscription model in 2017 signifies a strategic shift towards a recurring revenue and customer loyalty focus. This history suggests a company that has evolved from a traditional OTA to an innovative subscription-based travel ecosystem, valuing agility and customer-centricity.

Team Structure:

• The UX Research team is integrated within a larger Product and Technology organization. The Senior UX Researcher will be a dedicated partner to the "Prime" business unit, suggesting a specialized focus.

• Reporting structure likely places the Senior UX Researcher under a Head of UX Research or a Director of Product Insights, with direct interaction with Product Directors and executive leadership for the Prime segment.

• Cross-functional collaboration is a cornerstone, with expected deep partnerships with Product Management, UX/UI Design, Data Science, CRM, Marketing, Legal, and Privacy teams to ensure a holistic understanding and execution of the Prime member journey. Methodology:

• Data-Driven Decision Making: A strong emphasis on using evidence from user research, behavioral data, and analytics to guide strategic decisions.

• Agile and Iterative Development: The company operates with an Agile mindset, suggesting iterative research and product development cycles.

• Customer-Centricity: A core focus on understanding and improving the member journey and overall customer experience.

• AI Integration: Proactive adoption and responsible implementation of AI to enhance research processes, personalization, and operational efficiency.

Company Website: https://www.edreamsodigeo.com/

📝 Enhancement Note: The company's focus on AI and subscription models is crucial. For operations roles, this means understanding how data informs AI, how subscription metrics (like LTV, churn, acquisition cost) are tracked and influenced by user experience, and how research can directly impact these critical business levers. The "Prime" business unit focus indicates a specialized area of operations.

📈 Career & Growth Analysis

Operations Career Level: This role is classified as Senior-level within the UX Research discipline. It signifies a transition from an individual contributor focused on executing research tasks to a strategic partner responsible for defining research strategy, influencing senior leadership, and building/optimizing research operations. The scope includes managing a strategic roadmap, leading complex initiatives, and contributing to high-level business objectives for the Prime subscription platform.

Reporting Structure: The Senior UX Researcher will likely report into a UX Research leadership role (e.g., Head of UX Research or Director of Research) but will function as the primary research and intelligence partner for "Prime" Product Directors and executive leaders. This dual reporting/collaboration structure allows for both specialized domain focus and alignment with broader UX research best practices and team initiatives.

Operations Impact: The role has a direct and significant impact on key business metrics for the Prime subscription service. By providing integrated understanding of the member journey and identifying strategic knowledge gaps, the Senior UX Researcher influences decisions related to:

• Acquisition: How to attract new Prime members.

• Engagement: How to increase member interaction with the platform and its offerings.

• Cross-Product Adoption: Encouraging members to utilize multiple travel services (flights, hotels, rail).

• Retention: Reducing churn and increasing the lifetime value (LTV) of Prime members.

• Revenue: Directly contributing to the financial success of the Prime subscription business.

• Member Experience: Ensuring a seamless, valuable, and satisfying experience for all Prime members.

Growth Opportunities:

• Strategic Leadership: Opportunity to deepen expertise in product strategy and business impact, potentially moving into leadership roles within UX Research or Product Management focused on subscription models.

• Operations Specialization: Develop advanced skills in Research Operations, AI integration in research, and building scalable research infrastructure, which are highly sought-after skills in the industry.

• Domain Expertise: Become a deep expert in the travel subscription industry, membership models, and customer lifecycle management within a leading global platform.

• Cross-Functional Advancement: Potential to transition into roles in Product Management, Data Strategy, or Customer Insights that leverage a strong understanding of user behavior and business drivers.

• Mentorship and Team Development: As a senior member, there will be opportunities to mentor junior researchers and contribute to the overall development of the UX Research practice within Edreams ODIGEO.

📝 Enhancement Note: The emphasis on "influencing Product Directors and executive leaders" and "linking research-backed decisions to execution and measurable results" points to a role where career growth is tied to demonstrable business impact and strategic contributions, not just research output. The specific mention of "growth, revenue, and experience" as areas to guide research highlights the business-critical nature of this position.

🌐 Work Environment

Office Type: Edreams ODIGEO operates a hybrid work model, combining remote work flexibility with in-office collaboration. The office in Barcelona serves as a hub for team meetings, brainstorming sessions, and fostering company culture.

Office Location(s): The primary office location mentioned is in Barcelona, Spain, specifically at Bailén, 67-69, 8009. This location is accessible within the city, likely offering proximity to public transport and amenities.

Workspace Context:

• Collaborative Environment: The hybrid model is designed to balance individual focus with collaborative team interaction. The office space likely facilitates team meetings, workshops, and spontaneous discussions crucial for research and product development.

• Operations Tools & Technology: Researchers will have access to necessary tools for data collection, analysis, and collaboration. The role specifically mentions AI tools and the need for robust research infrastructure, implying a commitment to providing modern technological resources.

• Team Interaction: Regular opportunities for interaction with UX researchers, designers, product managers, and data scientists, both in person and virtually, to ensure alignment and foster a shared understanding of user needs and business goals.

Work Schedule: The role adheres to a standard 40-hour work week. The hybrid model emphasizes flexibility and an outcome-oriented approach, allowing employees to manage their schedules effectively while ensuring team collaboration and availability for key meetings and research activities.

📝 Enhancement Note: The "hybrid home-office model focused on outcomes" suggests a culture that values productivity and results over strict adherence to hours spent at a desk. This is beneficial for operations professionals who often need focused time for analysis and process development, balanced with collaborative sessions.

📄 Application & Portfolio Review Process

Interview Process: The interview process is likely multi-stage to assess both research expertise and strategic alignment.

• Initial Screening: A review of your resume and portfolio by a recruiter or hiring manager to assess basic qualifications and experience.

• Technical/Skills Interview: This stage will likely involve in-depth discussions about your UX research methodologies, experience with mixed-methods research, and your approach to complex research challenges. You may be asked to walk through specific case studies from your portfolio.

• Case Study Presentation/Exercise: A common step for senior roles, this could involve presenting a past research project in detail or being given a hypothetical problem to outline a research approach for. Expect questions on how you would influence stakeholders and drive action.

• Cross-Functional/Team Interviews: Meetings with potential peers (other UX Researchers, Designers, Product Managers) to assess collaboration style, communication skills, and cultural fit.

• Leadership Interview: A final interview with a senior leader (e.g., Head of UX Research, VP of Product) to evaluate strategic thinking, leadership potential, and alignment with company vision.

Portfolio Review Tips:

• Structure for Impact: Organize your portfolio around key projects that demonstrate your ability to drive business outcomes. For each project, clearly articulate: the problem/opportunity, your role and responsibilities, the research questions, the methodology, key findings, actionable recommendations, and the impact/results.

• Process Improvement Focus: Highlight instances where your research led to significant process improvements, product enhancements, or strategic shifts. Quantify the impact whenever possible (e.g., increased conversion rates, reduced churn, improved user satisfaction scores).

• Stakeholder Management Examples: Include examples of how you effectively communicated research findings to diverse audiences, particularly senior leadership. Showcase your ability to translate complex data into clear, persuasive recommendations.

• Research Operations & AI: If you have experience building research infrastructure, scaling operations, or integrating AI tools, dedicate specific sections or case studies to these areas. Detail the problems you solved, the solutions you implemented, and the resulting efficiencies or improvements.

• Tailor to the Role: Emphasize projects and skills that directly align with the requirements of this Senior UX Researcher role, especially those related to subscription models, e-commerce, and influencing strategic decisions.

Challenge Preparation:

• Research Strategy Outline: Be prepared to outline a research strategy for a given problem, focusing on how you would prioritize research, select methods, and ensure the insights generated would be actionable for the Prime business unit.

• Stakeholder Influence Scenarios: Practice articulating how you would present research findings to Product Directors and executives, addressing potential pushback and ensuring buy-in for recommendations.

• Operational Efficiency: Consider how you would approach scaling research operations or integrating AI into existing workflows, focusing on efficiency, quality, and responsible implementation.

• Metric Alignment: Understand how UX research metrics connect to core business KPIs (acquisition, retention, revenue) and be ready to discuss how you would measure the impact of your research.

📝 Enhancement Note: The emphasis on "strategic research," "influencing Product Directors and executive leaders," and "linking research-backed decisions to execution and measurable results" means interviewers will be looking for evidence of impact and strategic thinking, not just research execution. The portfolio and interview preparation should reflect this senior-level expectation.

🛠 Tools & Technology Stack

Primary Tools:

• UX Research Platforms: Tools for usability testing, participant management, and data collection (e.g., UserTesting.com, Maze, Lookback, Qualtrics).

• Survey Tools: For quantitative data collection and analysis (e.g., SurveyMonkey, Typeform, Google Forms, Qualtrics).

• Analytics Platforms: For understanding user behavior and product performance (e.g., Google Analytics, Adobe Analytics, Amplitude, Mixpanel).

• Collaboration Tools: For team communication and project management (e.g., Slack, Microsoft Teams, Jira, Confluence).

• Prototyping & Design Tools: To understand and interact with designs (e.g., Figma, Sketch, Adobe XD).

Analytics & Reporting:

• Web Analytics: Google Analytics, Adobe Analytics for tracking user journeys and conversion funnels.

• Product Analytics: Amplitude, Mixpanel for in-depth feature usage and cohort analysis.

• Data Visualization Tools: Tableau, Power BI, Looker for creating dashboards and reporting insights to stakeholders.

CRM & Automation:

• CRM Systems: Salesforce, HubSpot, or similar for understanding customer data and segmentation, particularly relevant for participant recruitment and member journey mapping.

• Workflow Automation Tools: Potentially used for automating research tasks or data processing, especially in conjunction with AI.

• Integration Tools: Understanding how different systems (CRM, analytics, research platforms) connect to create a unified data view.

AI & Data Science Tools (Preferred/Applied):

• AI Assistants: Gemini or similar AI tools for drafting research plans, synthesizing findings, generating summaries, and automating repetitive tasks.

• Statistical Software: R, Python, SPSS, SQL for advanced quantitative analysis, experimentation, and data manipulation.

• Research Repositories/Knowledge Systems: Tools for organizing and surfacing research findings across the organization.

📝 Enhancement Note: The explicit mention of "AI Transformation and Operations" and "Applied AI Tools: Demonstrated comfort using practical AI tools such as Gemini" indicates that proficiency with AI in research workflows is a significant differentiator, bordering on a requirement given the "Preferred Qualifications." This suggests a move towards AI-augmented research processes.

👥 Team Culture & Values

Operations Values:

• Data-Driven Excellence: A strong commitment to using objective, evidence-based data to inform all strategic and operational decisions, ensuring research is rigorous and impactful.

• Customer Centricity: Placing the member at the heart of all research and product development efforts, striving to understand and improve the end-to-end Prime member journey.

• Innovation & Agility: Encouraging experimentation, embracing new technologies (like AI), and adapting quickly to changing market dynamics and user needs within an Agile framework.

• Collaboration & Transparency: Fostering an environment where cross-functional teams work together openly, share insights freely, and communicate transparently about research plans, findings, and limitations.

• Ownership & Accountability: Taking responsibility for research outcomes, from planning and execution to influencing decisions and measuring impact, with a focus on delivering measurable results.

Collaboration Style:

• Proactive Partnership: Engaging early and often with Product, Design, and Data teams to understand their needs and integrate research insights seamlessly into the product development lifecycle.

• Constructive Feedback Culture: Encouraging open dialogue and providing/receiving constructive feedback on research approaches, methodologies, and insights to continuously improve the quality and impact of the UX Research function.

• Knowledge Sharing: Actively sharing research findings, best practices, and operational learnings across the UX Research team and relevant departments to build collective intelligence and elevate research maturity.

📝 Enhancement Note: The values emphasize a blend of analytical rigor, user advocacy, forward-thinking innovation (especially with AI), and strong teamwork. For an operations role, understanding how these values translate into daily tasks—like prioritizing research requests, collaborating on data analysis, or documenting processes—is key.

⚡ Challenges & Growth Opportunities

Challenges:

• Balancing Strategic vs. Tactical Research: Effectively managing the demand for both long-term strategic research that informs vision and shorter-term tactical research that supports immediate product iterations.

• Data Synthesis Across Silos: Integrating insights from diverse sources (flights, hotels, rail, customer service) and teams to form a cohesive understanding of the complex Prime member journey.

• Influencing Executive Stakeholders: Persuading senior leaders with data, especially when recommendations challenge existing assumptions or require significant investment.

• Scaling Research Operations: Building and maintaining efficient, scalable research processes and infrastructure to support a growing business and increasing research demand.

• Responsible AI Integration: Navigating the ethical considerations, quality control, and practical implementation of AI tools within research workflows to enhance efficiency without compromising integrity.

Learning & Development Opportunities:

• Advanced Research Methodologies: Deepen expertise in specialized qualitative and quantitative techniques, experimental design, and advanced statistical analysis.

• AI in Research: Become a leader in leveraging AI tools for research automation, data analysis, and insight generation, staying at the forefront of industry trends.

• Product Strategy & Business Acumen: Develop a stronger understanding of subscription business models, LTV, churn, and other key performance indicators, enhancing strategic influence.

• Research Operations & Infrastructure: Gain experience in building and optimizing research processes, defining standards, and developing scalable operational frameworks.

• Leadership & Mentorship: Grow leadership skills through mentoring junior researchers, leading cross-functional initiatives, and contributing to the strategic direction of the UX Research function.

📝 Enhancement Note: The challenges highlight the complexity of the role, particularly the need to bridge research execution with strategic business impact and operational efficiency. The growth opportunities are directly tied to overcoming these challenges and developing expertise in high-demand areas like AI and research operations.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you developed a strategic research roadmap. How did you prioritize initiatives, and what was the impact on the product or business?" (Focus on strategic planning, prioritization frameworks, and quantifiable outcomes.)

• "How do you ensure your research findings translate into actionable product decisions, especially when influencing senior leadership?" (Prepare examples of stakeholder management, data storytelling, and driving change.)

• "Outline your approach to conducting mixed-methods research for a complex user journey, such as the Prime member lifecycle. What key metrics would you track?" (Demonstrate understanding of methodology selection, synthesis, and KPI alignment.)

• "How would you approach building or scaling research operations within a growing organization? What are the key components of efficient research infrastructure?" (Prepare to discuss SOPs, RACI, participant management, and tool integration.) Company & Culture Questions:

• "Why are you interested in Edreams ODIGEO and the Prime subscription model specifically?" (Research the company's mission, values, and recent news. Understand the value proposition of Prime.)

• "How do you see AI transforming UX research, and what is your experience integrating AI tools into your workflow?" (Be ready to discuss practical applications, ethical considerations, and your experience with tools like Gemini.)

• "Describe your experience working in a hybrid environment and collaborating with cross-functional teams like Product, Design, and Data." (Highlight your communication, collaboration, and remote work best practices.) Portfolio Presentation Strategy:

• Focus on Impact: For each case study, clearly articulate the business problem, your specific contribution, the methodology, key insights, actionable recommendations, and – most importantly – the measurable impact on the product or business. Use metrics to quantify success.

• Strategic Narrative: Frame your projects as strategic initiatives that solved significant problems or unlocked opportunities, rather than just research tasks. Emphasize how your work influenced decisions and drove outcomes.

• Process & Operations: If you have examples of improving research processes, scaling operations, or implementing new tools (especially AI), highlight these. Show your ability to optimize how research is done.

• Conciseness and Clarity: Be prepared to present your most impactful projects within a limited timeframe. Focus on the story, the learnings, and the results. Use visuals effectively.

📝 Enhancement Note: The interview preparation advice strongly emphasizes demonstrating strategic impact, leadership in operations, and a forward-thinking approach to AI. Candidates should prepare to speak about how their research drives business metrics and influences high-level decisions, not just how they conduct research.

📌 Application Steps

To apply for this Senior UX Researcher position:

• Submit your application through the provided link on the Edreams ODIGEO careers site.

• Tailor Your Resume & Cover Letter:

  • Highlight your 5+ years of UX/behavioral research experience, focusing on digital products, e-commerce, or subscription services.
  • Quantify your achievements with metrics wherever possible, demonstrating impact on acquisition, engagement, retention, or revenue.
  • Emphasize your experience in strategic research, influencing senior stakeholders, and managing research operations.
  • Explicitly mention any experience with AI tools in research and your understanding of responsible AI integration.

• Curate Your Portfolio:

  • Select 3-5 of your most impactful projects that showcase strategic research, mixed-methods expertise, and demonstrable business results.
  • Ensure each case study clearly outlines the problem, your role, methodology, key insights, recommendations, and measurable impact.
  • Include examples of influencing executive leadership and any contributions to research operations or AI integration.

• Prepare for Interviews:

  • Anticipate questions about your research strategy, stakeholder management, operational improvements, and AI integration.
  • Practice presenting your portfolio case studies, focusing on clarity, impact, and strategic alignment.
  • Research Edreams ODIGEO, its Prime subscription model, and its company culture to articulate your interest and cultural fit.

• Showcase Your Strategic Thinking:

  • Be ready to discuss how you would approach research challenges specific to the Prime business unit and how your insights would drive growth and retention.

  • Demonstrate an understanding of subscription models and the key metrics that drive success in this space.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and operations industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.

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