UX Manager

📍 Job Overview

Job Title: UX Manager

Company: Ipsos

Location: Vietnam (Remote)

Job Type: Full-Time

Category: User Experience (UX) Research & Operations

Date Posted: 2026-08-07

Experience Level: 5-10 Years

Remote Status: Fully Remote

🚀 Role Summary

• Lead independent ownership of complex, multi-market mixed-methods research studies, blending qualitative insights with quantitative validation for strategic client engagements.

• Collaborate closely with the Singapore UX Lead and account teams to support major global and regional tech clients, translating ambiguous product dilemmas into actionable research roadmaps.

• Drive the adoption of the "Augmented Ipsos" philosophy, integrating Human Intelligence with Artificial Intelligence to innovate workflows, enhance agility, and improve the creative quality of research outputs.

• Oversee project management excellence, ensuring strong resource utilization, timeline adherence, and quality assurance benchmarks for operational success.

• Champion impactful storytelling by directing data synthesis to create compelling, executive-ready presentations with clear product recommendations and experience frameworks.

📝 Enhancement Note: While the provided job title is "UX Manager," the detailed responsibilities and required skills heavily emphasize User Experience (UX) Research and the operational aspects of managing research projects, rather than traditional people management. The role appears to be a senior individual contributor focused on research leadership and project execution within a UX research context, with a strong emphasis on integrating AI into research workflows. The location is listed as "Viet Nam" with a remote status, suggesting a globally distributed team structure where collaboration with a Singapore-based lead is key.

📈 Primary Responsibilities

• Independent Project Ownership: Design and execute comprehensive, multi-market mixed-methods research studies, ensuring a seamless integration of deep qualitative insights and robust quantitative validation.

• Strategic Client Support: Partner with the Singapore UX Lead and internal account leaders to support major global and regional tech clients by translating complex product challenges into actionable research roadmaps.

• Research Operations Management: Oversee the operational aspects of research projects, including resource allocation, timeline management, budget adherence, and quality assurance to ensure efficient and effective delivery.

• Data Synthesis & Storytelling: Lead the synthesis of disparate data points from qualitative and quantitative research, guiding the project team to develop compelling narratives and executive-ready presentations.

• AI Integration & Workflow Innovation: Actively model and promote the use of advanced AI utilities within project workflows to reduce operational friction, optimize end-to-end research processes, and enhance research agility and creative quality.

• Methodological Adaptation: Apply and adapt overarching research methodologies (custom quantitative and qualitative frameworks) to product and usability evaluation contexts.

• Cross-Functional Collaboration: Work collaboratively with team members and internal account leaders to refine workflows, support milestone deliveries, and ensure a tight balance between agile execution and rigorous research delivery.

• Insight Generation & Recommendation Development: Guide the team in turning research findings into clear, actionable product recommendations and experience frameworks that drive client decision-making.

📝 Enhancement Note: The core responsibilities are framed around leading research initiatives and managing their operational execution, with a significant emphasis on AI integration and data synthesis for impactful communication. The role requires a strong blend of methodological expertise, project management acumen, and strategic thinking to support high-profile tech clients.

🎓 Skills & Qualifications

Education:

• While no specific degree is mandated, a strong academic foundation in fields such as Psychology, Human-Computer Interaction (HCI), Sociology, Anthropology, Market Research, Statistics, or a related discipline is highly beneficial. Experience:

• 5+ years of dedicated research experience, with a strong preference for backgrounds in consumer insights, human-computer interaction (HCI), or established market insights within relevant service lines.

• Proven track record of managing digital or technology-focused research projects, demonstrating an ability to navigate complex technical landscapes.

• Demonstrated experience in independently driving multiple fast-paced projects simultaneously. Required Skills:

• UX Research Expertise: Deep understanding and practical application of both qualitative and quantitative research methodologies (e.g., user interviews, surveys, usability testing, ethnographic studies, diary studies, A/B testing, experimental design).

• Mixed-Methods Research: Proficiency in designing and executing studies that combine qualitative and quantitative approaches to provide comprehensive insights.

• Project Management: Strong organizational skills with the ability to manage multiple projects concurrently, including scope, timelines, resources, and deliverables.

• Data Synthesis & Analysis: Ability to analyze, interpret, and synthesize complex data sets from various research methods into clear, actionable insights.

• Storytelling & Presentation: Exceptional communication skills, with the ability to craft compelling narratives and deliver executive-ready presentations that drive strategic recommendations.

• AI Utility Integration: A strong grasp of AI's potential and practical application in research workflows, with a willingness to learn and pilot new AI tools.

• Client Engagement: Experience working with internal or external clients, understanding their business problems and translating them into research objectives.

Preferred Skills:

• Human-Computer Interaction (HCI): Specialized knowledge in HCI principles and their application to product design and user experience.

• Product Strategy: Understanding of product development lifecycles and how research informs product strategy and roadmap planning.

• Usability Evaluation: Expertise in conducting usability testing and providing recommendations for interface and experience improvements.

• Agile Execution: Familiarity with agile methodologies and their application in research settings to ensure speed and adaptability.

• Market Insights: Experience in broader market research contexts beyond just product-specific UX.

• Service Line Expertise: Familiarity with Ipsos’ specific Service Lines or similar market research domains.

📝 Enhancement Note: The qualifications emphasize hands-on research experience and the ability to manage complex projects end-to-end. The integration of AI is a key differentiator, requiring a proactive and experimental mindset. The "5-10 years" experience level is inferred from the "5+ years" requirement and the "Manager" title, suggesting a senior-level role.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Case Studies: Showcase 2-3 detailed case studies demonstrating end-to-end management of complex, multi-market mixed-methods research projects. Each case study should clearly articulate the business problem, research design, methodologies employed (qualitative and quantitative), key findings, and the actionable product recommendations or experience frameworks delivered.

• Impact Demonstration: Quantify the impact of your research where possible, highlighting how your insights influenced product strategy, improved user experience, or contributed to client business objectives (e.g., increased conversion rates, reduced support tickets, improved user satisfaction scores).

• AI Integration Examples: Include specific examples or a dedicated section showcasing how you have leveraged AI utilities to optimize research workflows, enhance data analysis, or improve the speed and quality of research outputs.

• Methodological Versatility: Demonstrate a breadth of experience across various qualitative and quantitative research techniques, illustrating your ability to select and adapt appropriate methods for different research questions.

Process Documentation:

• Workflow Design: Provide examples of how you have designed research workflows, from initial client brief to final deliverable, emphasizing efficiency and clarity.

• Methodology Adaptation: Showcase instances where you adapted standard research methodologies to meet unique client needs or product challenges.

• Data Synthesis & Reporting: Illustrate your approach to synthesizing complex data and creating clear, compelling reports or presentations that translate findings into strategic recommendations.

📝 Enhancement Note: For a UX Research Manager role, a strong portfolio is crucial. It should not only highlight research expertise but also project management capabilities and the ability to drive operational efficiency, especially with the integration of AI. The focus should be on demonstrating strategic thinking, data-driven decision-making, and tangible impact.

💵 Compensation & Benefits

Salary Range:

• Estimated Range: $90,000 - $130,000 USD per year (or local equivalent in Vietnam Dong).

• Methodology: This estimate is based on industry benchmarks for experienced UX Research Managers in global markets, considering the emphasis on complex project leadership, mixed-methods expertise, and AI integration. The range accounts for variations in experience within the 5-10 year bracket and the strategic nature of the role supporting major tech clients. For specific compensation in Vietnam, local market data would need to be consulted, but given the remote nature and likely international client base, a competitive global benchmark is applied.

Benefits:

• Comprehensive Health Insurance: Coverage for medical, dental, and vision care.

• Retirement Savings Plan: Contributions or matching for a retirement savings plan.

• Paid Time Off: Generous vacation days, sick leave, and public holidays.

• Professional Development: Budget for training, conferences, certifications, and continuous learning, especially in AI and UX research advancements.

• Remote Work Stipend: Potential allowance for home office setup and connectivity.

• Flexible Working Hours: Option to structure working hours to accommodate personal needs and global team collaboration, within core business hours.

• Employee Assistance Program (EAP): Confidential counseling and support services.

Working Hours:

• Standard full-time hours (approximately 40 hours per week).

• Flexibility is expected to accommodate global client needs and collaboration with teams in different time zones (e.g., Singapore). Core working hours will likely be established to ensure overlap with key stakeholders.

📝 Enhancement Note: Salary ranges are estimated based on the experience level and the global nature of the role, acknowledging that compensation in Vietnam may differ significantly from Western markets. The "Manager" title, coupled with 5+ years of experience and independent project ownership, suggests a mid-to-senior level compensation band. Benefits are standard for full-time roles with a global company.

🎯 Team & Company Context

🏢 Company Culture

Industry: Market Research & Data Analytics. Ipsos is a global leader in this field, known for its comprehensive data-driven solutions and commitment to research excellence.

Company Size: Large Enterprise (10,000+ employees globally). This indicates a well-established organization with structured processes, global reach, and diverse opportunities.

Founded: 1975. Ipsos has a long history, suggesting stability, deep expertise, and a well-developed understanding of market dynamics.

Team Structure:

• UX Research Team: Operates within a larger Service Line (e.g., Public Affairs, although the role seems to support broader client needs, including tech).

• Reporting: Reports to the Singapore UX Lead, indicating a geographically distributed team structure with a clear reporting line to a regional leader.

• Collaboration: Works closely with other UX researchers, account leaders, project managers, and potentially data scientists or AI specialists within Ipsos. Cross-functional collaboration is a key aspect of the role.

Methodology:

• Augmented Ipsos: A core philosophy emphasizing the synergistic combination of Human Intelligence and Artificial Intelligence to deliver innovative and efficient research solutions.

• Data-Driven Insights: A commitment to rigorous data collection, analysis, and synthesis to provide actionable insights for clients.

• Agile & Rigorous Delivery: Balancing the need for speed and adaptability with the imperative for high-quality, methodologically sound research.

Company Website: https://www.ipsos.com/ (Note: The provided URL was for Oracle Cloud recruitment, this is the main company site)

📝 Enhancement Note: Ipsos's culture likely values data integrity, methodological rigor, client focus, and increasingly, innovation through AI. The "Augmented Ipsos" philosophy highlights a forward-thinking approach to research. The large company size suggests opportunities for structured career growth and access to extensive resources, while the distributed team structure necessitates strong communication and self-management skills.

📈 Career & Growth Analysis

Operations Career Level: Senior Individual Contributor / Research Lead. This role sits at a senior level within the UX research discipline. It involves independent ownership of complex projects and strategic guidance, but the primary focus is on research execution and operational management rather than direct line management of a large team. The title "Manager" here seems to denote responsibility and seniority over projects and research methodologies, not necessarily people management.

Reporting Structure: Reports directly to the Singapore UX Lead. This implies a mentorship dynamic where the Lead provides strategic direction, guidance on complex client issues, and support for career development. Collaboration with peers and account teams is also integral.

Operations Impact: The UX Research Manager plays a critical role in shaping product strategies and user experiences for major global tech clients. By translating complex business problems into actionable research roadmaps and delivering compelling insights, they directly influence product development decisions, client success, and Ipsos's reputation for delivering high-impact, data-driven research. The integration of AI further amplifies this impact by enabling faster, deeper, and more creative research outputs.

Growth Opportunities:

• Specialization: Deepen expertise in specific research methodologies, AI applications in research, or particular industry verticals (e.g., tech, public affairs).

• Leadership: Progress to a Senior UX Research Manager or UX Research Director role, potentially taking on more direct people management responsibilities or leading larger, more strategic client accounts.

• Methodological Innovation: Become a thought leader in applying AI to UX research, contributing to Ipsos's "Augmented Ipsos" framework and developing new research offerings.

• Cross-Functional Mobility: Explore opportunities within Ipsos's broader market research divisions or in roles focused on data analytics, strategic consulting, or client relationship management.

📝 Enhancement Note: The growth path for this role emphasizes deepening research expertise, leading more complex initiatives, and potentially moving into broader leadership roles within Ipsos, especially in the rapidly evolving field of AI-augmented research. The emphasis on independent ownership suggests a high level of autonomy and trust.

🌐 Work Environment

Office Type: Fully Remote. This role is designed for individuals who thrive in a distributed work environment, requiring strong self-discipline and effective virtual communication skills.

Office Location(s): While the role is remote in Vietnam, Ipsos has a global presence. Key collaboration hubs include Singapore (for the direct lead) and potentially other major research centers worldwide. The remote nature allows for flexibility in work location within Vietnam.

Workspace Context:

• Virtual Collaboration: Heavy reliance on digital collaboration tools (e.g., video conferencing, instant messaging, project management software) to connect with the Singapore UX Lead, team members, and clients.

• Technology Stack: Access to Ipsos's suite of research tools, analytics platforms, and AI utilities. The role requires comfort with digital tools for research, analysis, presentation, and project management.

• Team Interaction: Regular virtual meetings, brainstorms, and check-ins to foster a sense of team cohesion and ensure alignment on project goals and research quality.

Work Schedule:

• Primarily full-time (approx. 40 hours/week).

• Flexibility is provided to manage work-life balance, but candidates must be available during core collaboration hours to overlap with the Singapore UX Lead and potentially other global team members. This requires proactive time management and communication regarding availability.

📝 Enhancement Note: The fully remote nature of the role is a defining characteristic. Success will depend on the candidate's ability to self-manage, communicate effectively across distances and time zones, and leverage digital tools to maintain productivity and team connection.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: HR or Recruiter call to assess basic qualifications, role understanding, and salary expectations.

• Hiring Manager Interview: Conversation with the Singapore UX Lead to delve into research experience, project management skills, AI integration approach, and cultural fit.

• Team/Peer Interview: Discussion with other UX researchers or team members to evaluate collaboration style, methodological knowledge, and problem-solving capabilities.

• Portfolio Presentation: A dedicated session where candidates present 1-2 key case studies from their portfolio, demonstrating their approach to research design, execution, synthesis, and impact. This is where operational and strategic thinking will be heavily assessed.

• Final Interview (Potentially): With a senior leader or department head to discuss strategic alignment and long-term fit.

Portfolio Review Tips:

• Structure is Key: Organize your portfolio logically. Use a consistent format for each case study, clearly outlining:

  • Client/Project Context: Brief overview of the client and the business problem.
  • Research Objectives: What were you trying to achieve?
  • Methodology: Detailed explanation of the qualitative and quantitative methods used, and why they were chosen.
  • AI Integration: Specific ways AI tools were used to enhance the process or outcomes.
  • Key Findings & Insights: What did you learn? Focus on the "so what?"
  • Recommendations: Actionable product or strategic recommendations derived from the insights.
  • Impact: Quantifiable results or qualitative feedback on the influence of your work.

• Quantify Impact: Whenever possible, use metrics to demonstrate the value of your research. If direct client metrics are unavailable, articulate the logical link between your insights/recommendations and potential business outcomes.

• Highlight AI Application: Be prepared to discuss specific AI tools or techniques you've used, the challenges you faced, and the benefits realized. This is a critical differentiator for this role.

• Tell a Story: Your presentation should be a narrative that showcases your problem-solving skills, strategic thinking, and ability to translate complex data into compelling, actionable insights.

• Tailor to the Role: Emphasize projects that align with tech clients, mixed-methods research, and operational excellence.

Challenge Preparation:

• Hypothetical Research Design: Be ready to outline a research approach for a given product problem, including methodology, target audience, and key research questions.

• Data Synthesis Scenario: You might be presented with a set of findings and asked to synthesize them into a coherent narrative and set of recommendations.

• AI Tool Discussion: Prepare to discuss your experience with AI tools relevant to research (e.g., for transcription, analysis, synthesis, generative design) and your thoughts on their future in the industry.

📝 Enhancement Note: The interview process will heavily scrutinize practical research experience, project management capabilities, and the candidate's proactive approach to integrating AI. The portfolio presentation is the most critical component for demonstrating these skills.

🛠 Tools & Technology Stack

Primary Tools:

• UX Research Platforms: Tools for conducting user interviews, usability testing, surveys, and diary studies (e.g., UserTesting.com, Lookback, Maze, Qualtrics, SurveyMonkey).

• Data Analysis Software: Statistical software for quantitative data (e.g., SPSS, R, Python libraries like Pandas/SciPy) and qualitative analysis tools for thematic coding (e.g., NVivo, Dovetail,

Atlas.ti).

• AI Utilities: A range of AI-powered tools for tasks such as:

  • Transcription & Summarization: Tools like Otter.ai, Descript, or built-in AI features.
  • Sentiment Analysis & Thematic Coding: AI-driven analysis for large text datasets.
  • Generative AI: For brainstorming, content creation, or hypothesis generation (e.g., ChatGPT, Bard).
  • Data Visualization & Augmentation Tools: AI-assisted tools for creating dashboards or identifying patterns.

• Presentation Software: Microsoft PowerPoint, Google Slides, Keynote for creating executive-ready reports and presentations.

Analytics & Reporting:

• BI Tools (Potentially): Familiarity with Business Intelligence tools like Tableau, Power BI, or Looker for visualizing research data and trends.

• Spreadsheet Software: Advanced proficiency in Microsoft Excel or Google Sheets for data manipulation and analysis.

CRM & Automation:

• CRM Systems (Familiarity): While not a direct CRM role, understanding how research insights feed into CRM strategies and client management processes is beneficial.

• Project Management Tools: Tools like Asana, Trello, Jira, or Monday.com for managing project timelines, tasks, and team collaboration.

📝 Enhancement Note: The role requires proficiency in a broad spectrum of research tools, with a strong emphasis on the practical application of AI utilities within the research workflow. Candidates should be prepared to discuss their experience with specific tools and how they leverage technology to enhance research efficiency and effectiveness.

👥 Team Culture & Values

Operations Values:

• Integrity & Rigor: Upholding the highest standards of data integrity and methodological soundness in all research activities.

• Client Centricity: A deep commitment to understanding and addressing client needs, delivering insights that drive tangible business value.

• Innovation & Agility: Embracing new technologies and methodologies, particularly AI, to deliver faster, sharper, and more creative research solutions.

• Collaboration & Teamwork: Fostering a supportive and collaborative environment where knowledge is shared, and team members work together to achieve common goals.

• Curiosity & Learning: A continuous drive to explore, learn, and adapt to evolving research landscapes and client challenges.

Collaboration Style:

• Cross-Functional Integration: Actively engaging with account teams, other researchers, and subject matter experts to ensure research is strategically aligned and impactful.

• Open Communication: Encouraging transparent and frequent communication, especially in a remote setting, to ensure alignment and address challenges proactively.

• Feedback Exchange: Participating in and providing constructive feedback during project reviews and team discussions to foster continuous improvement.

• Knowledge Sharing: Willingness to share best practices, learnings, and insights with colleagues to elevate the collective expertise of the team.

📝 Enhancement Note: Ipsos likely emphasizes a culture of intellectual curiosity, data-driven decision-making, and client success. The "Augmented Ipsos" philosophy suggests a strong value placed on innovation, particularly through technology like AI, and a collaborative approach to problem-solving.

⚡ Challenges & Growth Opportunities

Challenges:

• Managing Global Stakeholders: Effectively coordinating with and synthesizing input from diverse stakeholders across different regions and time zones.

• Balancing AI Integration with Data Integrity: Ensuring that the adoption of AI tools enhances, rather than compromises, the quality and reliability of research findings.

• Translating Ambiguity into Action: Navigating ambiguous client problems and translating them into clear, researchable questions and actionable insights.

• Maintaining Team Cohesion in a Remote Setting: Fostering a strong sense of team connection and collaboration while working fully remotely.

• Keeping Pace with AI Advancements: Continuously learning and adapting to the rapidly evolving landscape of AI tools and their applications in research.

Learning & Development Opportunities:

• AI in Research Specialization: Opportunities to become a leading expert in applying AI to UX research, potentially developing proprietary methodologies or training programs.

• Advanced Methodological Training: Access to training in cutting-edge qualitative and quantitative research techniques.

• Client Relationship Management: Developing skills in strategic client engagement and account growth.

• Leadership Development: Potential pathways to team leadership or strategic roles within Ipsos, focusing on research innovation and business development.

• Industry Conferences & Certifications: Support for attending relevant industry events and obtaining professional certifications.

📝 Enhancement Note: The role presents exciting opportunities to be at the forefront of AI integration in market research, but also requires navigating the complexities of global collaboration and maintaining research rigor. Growth is geared towards deepening expertise and potentially expanding leadership scope.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you had to translate a highly ambiguous business problem into a clear research plan. What was your process, and what were the key challenges?" (Focus on structured problem-solving, research design, and stakeholder alignment).

• "How do you approach synthesizing complex qualitative and quantitative data from a mixed-methods study to create a compelling narrative for executives?" (Highlight your storytelling, data analysis, and presentation skills).

• "Walk us through a project where you successfully integrated AI tools into your research workflow. What tools did you use, what was the impact, and what did you learn?" (Demonstrate practical AI application and your experimental mindset).

• "Imagine a major tech client is facing declining user engagement on their flagship product. Outline a UX research strategy you would propose to diagnose the root causes and identify solutions." (Showcase your ability to think strategically and design appropriate research). Company & Culture Questions:

• "What excites you about Ipsos's 'Augmented Ipsos' philosophy, and how do you see AI transforming the future of market research?" (Align your vision with the company's strategic direction).

• "How do you ensure data integrity and methodological rigor when working with fast-paced projects and potentially new AI tools?" (Address your commitment to quality and ethical research practices).

• "Describe your ideal collaboration style within a remote, globally distributed team. How do you build relationships and ensure effective communication?" (Showcase your remote work readiness and collaboration skills). Portfolio Presentation Strategy:

• Select Your Strongest Cases: Choose 2-3 projects that best exemplify your skills in mixed-methods research, AI integration, project management, and delivering impactful recommendations for tech clients.

• Focus on the "Why" and "So What": Clearly articulate the business context and the strategic impact of your work. Don't just list methods; explain why they were chosen and what actionable insights were derived.

• Quantify and Qualify Impact: Use data and concrete examples to demonstrate the value you brought to the client and how your recommendations influenced decisions.

• Practice Your Narrative: Rehearse your presentation to ensure a smooth, confident delivery. Be prepared to answer detailed questions about your methodology, decision-making, and the results.

• Be Ready for AI Deep Dives: Anticipate questions about the specific AI tools you used, the challenges you encountered, and how you validated the AI-generated outputs.

📝 Enhancement Note: Interview preparation should focus on demonstrating a blend of deep research expertise, robust project management capabilities, and a forward-thinking approach to AI integration. The portfolio presentation is the key opportunity to showcase practical application and strategic impact.

📌 Application Steps

To apply for this UX Manager position:

• Submit your application through the provided Oracle Cloud recruitment portal link.

• Portfolio Customization: Prepare your portfolio to highlight 2-3 case studies that best showcase your experience in mixed-methods research, project management, AI integration, and delivering actionable insights for tech clients. Ensure clear articulation of the problem, methodology, AI usage, findings, and impact.

• Resume Optimization: Tailor your resume to emphasize keywords related to UX research, mixed-methods, project management, AI, data synthesis, product strategy, and client engagement. Quantify achievements where possible.

• Interview Preparation: Practice answering strategy, behavioral, and situational questions, focusing on your experience with complex research projects, AI integration, and remote collaboration. Prepare a concise and compelling narrative for your portfolio presentation.

• Company Research: Familiarize yourself with Ipsos's "Augmented Ipsos" philosophy, its service lines, and its commitment to data-driven insights. Understand how this role contributes to the company's mission.

⚠️ 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.