Sr User Experience Research Specialist - Concur UX Team (7-12 years)

📍 Job Overview

Job Title: Sr User Experience Research Specialist - Concur UX Team

Company: SAP

Location: Bangalore, India

Job Type: Regular Full Time

Category: User Experience Research / Product Strategy

Date Posted: 2026-08-11

Experience Level: 7-12 years

Remote Status: Hybrid

🚀 Role Summary

• Lead complex, end-to-end user experience research programs for SAP's Concur products, driving product strategy through deep customer insights.

• Independently conduct mixed-methods research (qualitative and quantitative) to uncover user needs, evaluate new features, and assess AI-enabled experiences.

• Translate complex research findings into clear, actionable recommendations that influence product direction and ensure evidence-based decision-making.

• Act as a senior research lead and trusted advisor to Product, Design, and Engineering teams, championing customer-centered approaches and mentoring junior researchers.

📝 Enhancement Note: The job title "Sr User Experience Research Specialist" in the context of SAP's Concur UX Team, combined with the experience requirement (7-12 years) and the emphasis on influencing product strategy and mentoring, strongly suggests a role focused on strategic research leadership within the GTM (Go-To-Market) and product development lifecycle. This role will likely involve close collaboration with product management and design to define future product roadmaps and validate user adoption of new technologies, particularly AI-driven features. The mention of "user adoption" and "trust" in relation to AI is particularly relevant for GTM operations.

📈 Primary Responsibilities

• Design and execute comprehensive UX research plans, from initial discovery and concept validation to usability testing and post-launch evaluation, across the Concur product suite.

• Employ a range of qualitative methodologies (e.g., interviews, contextual inquiries, usability studies) and quantitative methods (e.g., surveys, analytics, A/B testing analysis) to gather and analyze user data.

• Proactively identify research opportunities and define critical questions to address product and business objectives, particularly within the evolving landscape of AI-enabled user experiences.

• Synthesize complex research data from multiple sources into compelling narratives and clear, actionable insights for product, design, engineering, and other stakeholders.

• Mentor and guide other UX researchers, fostering a culture of research excellence, sharing best practices, and elevating the overall research maturity of the Concur UX team.

• Collaborate closely with global and regional teams, including Product Management, UX Design, and Engineering, to ensure research findings are effectively integrated into product development cycles.

• Champion customer-centricity throughout the product development process, advocating for user needs and ensuring research drives measurable impact on product strategy and execution.

• Evaluate the usability, trust, quality, and adoption potential of AI-powered features and experiences within the Concur platform.

📝 Enhancement Note: The responsibilities highlight a senior-level individual contributor role with significant strategic influence. The emphasis on "end-to-end research initiatives," "influencing product strategy," and "mentoring other researchers" indicates a need for strong leadership, project management, and strategic thinking skills beyond just executing research tasks. The mention of AI-enabled experiences suggests a focus on emerging technologies and their impact on user adoption and trust, which is a key concern for GTM and product teams.

🎓 Skills & Qualifications

Education:

• Bachelor's or Master's degree in Human-Computer Interaction (HCI), Psychology, Cognitive Science, Anthropology, Sociology, or a related field. Advanced degrees are often preferred for senior-level research roles. Experience:

• 7-12 years of progressive experience in user experience research, with a proven track record of leading complex research programs independently.

• Demonstrated experience in mixed-methods research, seamlessly integrating qualitative and quantitative approaches to derive comprehensive insights. Required Skills:

• Expertise in designing, conducting, and analyzing a wide range of qualitative and quantitative UX research methods.

• Strong ability to translate research findings into clear, compelling, and actionable recommendations for product strategy and design.

• Proven experience in researching AI-enabled experiences, with an understanding of factors like usability, trust, quality, and adoption in AI contexts.

• Excellent collaboration and communication skills, with the ability to build trusted partnerships across Product, Design, and Engineering teams.

• Experience in mentoring and developing other researchers, fostering skill growth and elevating team capabilities.

• Ability to thrive in ambiguous environments and independently lead research initiatives from inception to completion.

• Proficiency in synthesizing complex data and presenting findings in a clear, persuasive manner to diverse audiences. Preferred Skills:

• Experience with enterprise software products, particularly in areas like expense management, travel, or ERP systems (relevant to SAP Concur).

• Familiarity with research operations (R&D) best practices, including participant recruitment, tool management, and research planning.

• Experience working in global, cross-functional teams and managing research projects across different time zones.

• Knowledge of advanced statistical analysis techniques for quantitative research data.

• Familiarity with design thinking principles and agile development methodologies.

📝 Enhancement Note: The experience requirement of 7-12 years strongly suggests a senior-level role. The emphasis on "mixed-methods research," "AI-enabled experiences," and "influencing product strategy" points towards a need for a researcher who can not only gather data but also interpret it strategically and apply it to business outcomes. The mentorship aspect indicates a leadership component, even if not a direct management role.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• A curated portfolio showcasing a minimum of 3-5 complex research projects demonstrating end-to-end research leadership.

• Projects should highlight the application of mixed-methods research, with clear articulation of the research problem, methodology, key findings, and the impact of recommendations on product strategy and user experience.

• Specific case studies demonstrating research on AI-enabled experiences, detailing how usability, trust, and adoption were assessed.

• Evidence of translating research insights into actionable recommendations that led to measurable improvements or strategic shifts in product development.

• Documentation of collaboration with Product, Design, and Engineering teams, illustrating how research influenced decision-making processes. Process Documentation:

• Demonstrated ability to document research processes, including study designs, participant recruitment strategies, data analysis plans, and reporting templates.

• Examples of creating and maintaining research repositories or knowledge bases to facilitate cross-team learning and knowledge sharing.

• Evidence of establishing or improving research workflows to enhance efficiency, scalability, and impact within a product development cycle.

• Documentation of how research findings were communicated and socialized across different functional teams to ensure alignment and buy-in.

📝 Enhancement Note: For a senior UX Research Specialist, a robust portfolio is critical. It needs to demonstrate not just research execution but strategic thinking, impact, and leadership. The emphasis on AI and influencing product strategy means case studies should clearly articulate how research contributed to business objectives and product roadmap decisions.

💵 Compensation & Benefits

Salary Range:

• Based on SAP's global compensation structure for senior professional roles in Bangalore, India, and considering the 7-12 years of experience, the estimated annual salary range for a Sr User Experience Research Specialist is likely between ₹2,000,000 and ₹3,500,000 INR. This range can vary based on specific skills, interview performance, and the exact team budget. Benefits:

• Comprehensive health and well-being programs.

• Flexible working models, supporting a hybrid work arrangement.

• Opportunities for continuous learning and personal development.

• Structured skill growth initiatives and access to training resources.

• Company-sponsored retirement and savings plans.

• Paid time off, including vacation, sick leave, and public holidays.

• Employee assistance programs and wellness initiatives.

• Potential for performance-based bonuses and stock options, depending on SAP's global compensation policies. Working Hours:

• Standard full-time working hours are typically 40 hours per week. While the role is hybrid, specific daily schedules may offer some flexibility to accommodate global collaboration needs and personal well-being, aligning with SAP's focus on work-life balance.

📝 Enhancement Note: Salary estimation for a senior role in Bangalore requires considering local market rates for specialized tech roles at large multinational corporations like SAP. The provided range is an informed estimate based on typical compensation bands for 7-12 years of experience in UX Research in India's tech hub. Benefits are extrapolated from SAP's stated values and standard offerings for professional employees.

🎯 Team & Company Context

🏢 Company Culture

Industry: Software & Technology, specifically Enterprise Resource Planning (ERP), Cloud Computing, and Business Application Software. SAP is a global leader in these sectors.

Company Size: Over 100,000 employees worldwide. This indicates a large, established organization with structured processes and global reach.

Founded: 1972. SAP has a long history and deep expertise in enterprise software solutions.

Team Structure:

• The Concur UX Team is part of SAP's broader User Experience organization, likely working within the Concur product division.

• This team is geographically distributed, with strong collaboration expected between researchers in India and other global hubs (e.g., US, Europe).

• Researchers typically report to a UX Research Lead or a Director of UX, with close reporting lines to Product Management and UX Design leadership.

• The team structure emphasizes collaboration with Product Managers, UX Designers, Software Engineers, and potentially GTM (Go-To-Market) teams for insights on adoption and market fit. Methodology:

• SAP emphasizes a data-driven approach to product development, with UX research playing a critical role in informing strategy and design.

• The company promotes a culture of continuous learning and innovation, particularly in areas like AI and cloud technologies.

• Agile methodologies are likely integrated into the product development lifecycle, requiring UX research to be iterative and adaptable.

• A strong focus on customer-centricity and delivering value to over 400,000 customers worldwide.

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

📝 Enhancement Note: Understanding SAP's culture as a large, established enterprise software company is key. The Concur division focuses on travel, expense, and invoice management solutions. The role's emphasis on AI and user adoption suggests it's at the forefront of integrating new technologies into established business processes, a critical GTM consideration.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned as a Senior Specialist, indicating a highly experienced individual contributor role. It implies a level of autonomy and responsibility for leading significant research initiatives and influencing strategic decisions, rather than managing a team directly. It sits above a standard UX Researcher and below a Principal Researcher or Director.

Reporting Structure: The Sr User Experience Research Specialist will likely report to a UX Research Manager or Director within the Concur UX organization. They will work closely with Product Managers, UX Designers, and Engineering Leads for specific product areas, acting as a key partner in the product development lifecycle.

Operations Impact: The impact of this role is directly tied to shaping the user experience of Concur products. By providing critical insights into customer needs, usability, and the effectiveness of new features (especially AI-driven ones), this role directly influences product adoption, customer satisfaction, and ultimately, revenue and market share for Concur solutions. Ensuring successful adoption of AI features is a direct GTM impact.

Growth Opportunities:

• Specialization: Deepen expertise in specific research areas, such as AI research, enterprise user research, or advanced quantitative analysis.

• Leadership: Transition into a Principal UX Researcher role, leading larger, more complex research programs, or potentially move into a UX Research Management position overseeing a team.

• Cross-functional Mobility: Opportunities to move into related roles within Product Management, UX Design Strategy, or even GTM strategy roles that require deep customer understanding.

• Global Impact: Lead research initiatives that impact SAP's global customer base and contribute to shaping international product standards.

• Mentorship: Develop leadership and coaching skills by mentoring junior researchers, which can be a stepping stone to management roles.

📝 Enhancement Note: For a senior-level operations-adjacent role like UX Research, growth often involves increasing strategic influence, specialization, or transitioning into management. The emphasis on AI and adoption ties directly into GTM success, offering growth paths related to market readiness and customer success.

🌐 Work Environment

Office Type: The role is designated as Hybrid, meaning it will involve a combination of working from the SAP office in Bangalore and remote work. This offers flexibility while maintaining in-person collaboration opportunities.

Office Location(s): The primary office location is SAP's facility in Bangalore, India (PIN 560066). This is a major tech hub, providing access to a strong talent pool and industry ecosystem.

Workspace Context:

• The Bangalore office is likely equipped with modern amenities and collaborative spaces to support hybrid work and cross-functional team interaction.

• Access to standard office technology, collaboration tools, and potentially dedicated UX research labs or equipment.

• The environment fosters collaboration between local and global teams, utilizing digital tools for seamless communication and project management.

• Opportunities for informal interactions with colleagues from various departments, promoting knowledge sharing and networking.

Work Schedule: The standard work schedule is full-time, approximately 40 hours per week. The hybrid nature allows for some flexibility in structuring the work week, balancing in-office days with remote work, and accommodating global meeting schedules.

📝 Enhancement Note: The hybrid model is standard for many tech companies, especially large ones like SAP. The key for a UX Researcher is ensuring the environment supports both focused individual work and effective collaboration, which is crucial for translating research into actionable product insights.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A recruiter or hiring manager will review your application and resume. Be sure to highlight your experience with mixed-methods research, AI research, and influencing product strategy.

• Hiring Manager/Team Interview: This stage will likely involve a deeper dive into your experience, research methodologies, and how you approach complex problems. Expect behavioral questions and discussions about your past projects.

• Portfolio Presentation: A crucial step where you will present a selection of your best work. Prepare 2-3 detailed case studies that showcase your expertise in leading research, applying mixed methods, researching AI experiences, and driving product impact. Focus on storytelling and demonstrating how your research led to tangible outcomes.

• Skills Assessment/Technical Interview: This might involve discussing specific research techniques, data analysis approaches, or a hypothetical research scenario.

• Cross-functional Interviews: You may meet with Product Managers, UX Designers, or Engineering Leads to assess your collaboration style and ability to work effectively with these teams.

• Final Interview: Typically with a senior leader in the UX or Product organization to discuss strategic fit and overall qualifications.

Portfolio Review Tips:

• Showcase Impact: Clearly articulate the problem, your role, the methods used, key findings, and most importantly, the impact of your research on product decisions and user outcomes. Quantify results whenever possible (e.g., "led to a 15% increase in feature adoption," "reduced task completion time by 20%").

• Highlight AI Research: Prepare a specific example of research conducted on AI-enabled experiences, detailing how you assessed user trust, usability, and adoption.

• Demonstrate Mixed Methods: Ensure at least one case study clearly shows how you combined qualitative and quantitative approaches for a more robust understanding.

• Tell a Story: Structure your presentations to be engaging narratives, not just a list of tasks. Explain the "why" behind your decisions.

• Tailor to SAP/Concur: If possible, subtly align your examples with the types of challenges SAP Concur might face (e.g., enterprise user workflows, adoption of new technologies).

• Be Prepared for Questions: Anticipate questions about your process, challenges faced, how you handle conflicting feedback, and how you collaborate.

Challenge Preparation:

• Be ready to discuss how you would approach a specific research problem relevant to Concur products or AI experiences. This might involve outlining a research plan, identifying key questions, and suggesting methodologies.

• Practice articulating your thought process clearly and concisely.

• Prepare to discuss how you would handle ambiguity or limited resources in a research project.

• Think about how you would present research findings to a non-research audience to ensure buy-in and action.

📝 Enhancement Note: The interview process for a senior UX role at a company like SAP will be rigorous. The portfolio presentation is a key differentiator, requiring candidates to demonstrate strategic impact and leadership beyond just methodological proficiency. The focus on AI research is a significant element to prepare for.

🛠 Tools & Technology Stack

Primary Tools:

• User Research Platforms: Tools for managing research studies, participant recruitment, scheduling, and data collection (e.g., UserTesting.com, Lookback, Maze, Qualtrics).

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

• Prototyping & Design Tools: Familiarity with tools used by designers to create mockups and prototypes that researchers will test (e.g., Figma, Sketch, Adobe XD).

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

Analytics & Reporting:

• Web Analytics: Tools to understand user behavior on digital platforms (e.g., Google Analytics, Adobe Analytics - though less common for pure UX research, understanding their output is valuable).

• Data Analysis Software: For statistical analysis of quantitative data (e.g., SPSS, R, Python libraries like Pandas/NumPy).

• Reporting & Visualization Tools: For creating compelling reports and dashboards (e.g., Tableau, Power BI, or even advanced PowerPoint/Keynote skills).

CRM & Automation:

• While not directly managing CRM/automation systems, understanding how user data is captured and used within these systems (e.g., Salesforce, SAP's own CRM solutions) can provide context for research. Familiarity with how customer feedback loops into CRM and marketing automation is beneficial.

📝 Enhancement Note: The tools listed are standard for UX Research roles. The emphasis on AI implies a need for researchers to be comfortable with tools that can analyze AI interaction data, and potentially integrate with ML platforms for more advanced insights. Understanding how research impacts adoption metrics tracked in CRM or analytics platforms is also key for GTM alignment.

👥 Team Culture & Values

Operations Values:

• Customer Centricity: A deep commitment to understanding and advocating for the user's needs in all product decisions.

• Innovation & Continuous Learning: Embracing new technologies (like AI) and methodologies, and fostering an environment where learning is ongoing.

• Collaboration & Inclusion: Working effectively with diverse teams across different regions and disciplines, valuing varied perspectives.

• Data-Driven Decision Making: Relying on evidence and insights from research to guide strategy and product development, rather than intuition alone.

• Impact & Accountability: Taking ownership of research outcomes and ensuring they contribute measurably to business and product goals.

Collaboration Style:

• Partnership-Oriented: Working as a close partner with Product Management, UX Design, and Engineering, integrating research seamlessly into their workflows.

• Proactive Communication: Regularly sharing insights and updates, and actively seeking feedback from stakeholders.

• Cross-functional Knowledge Sharing: Facilitating workshops, presentations, and documentation to ensure research learnings are accessible and understood across the organization.

• Constructive Feedback: Engaging in open, honest, and constructive dialogue to refine research approaches and product strategies.

📝 Enhancement Note: SAP's stated values (as seen in the job description) emphasize innovation, collaboration, and personal development. For a UX researcher, this translates to a culture where user insights are valued, and researchers are empowered to influence product direction, especially in emerging areas like AI.

⚡ Challenges & Growth Opportunities

Challenges:

• Researching AI Experiences: Navigating the complexities of user trust, transparency, and adoption for AI-powered features, which are often less tangible than traditional UI elements.

• Global Collaboration: Effectively conducting research and influencing product strategy across different time zones, cultures, and business priorities within a large, multinational organization.

• Balancing Rigor and Speed: Delivering high-quality, actionable insights within fast-paced agile development cycles, often requiring trade-offs in research scope or methodology.

• Demonstrating ROI: Clearly articulating the business value and return on investment of UX research efforts to stakeholders who may not be deeply familiar with research methodologies.

• Mentoring and Developing Others: Effectively guiding and supporting junior researchers while managing one's own senior-level research responsibilities.

Learning & Development Opportunities:

• Advanced AI Research Techniques: Opportunities to learn and apply cutting-edge research methods specifically for AI and machine learning interactions.

• Leadership Development: Formal and informal training in mentorship, stakeholder management, and influencing skills, preparing for future leadership roles.

• Industry Conferences & Workshops: Access to attend leading UX research and AI conferences (e.g., CHI, UXRConf, AI Ethics summits) for continuous learning and networking.

• Cross-functional Skill Building: Gaining deeper understanding of product management, engineering processes, and GTM strategies through close collaboration.

• Specialized Certifications: Pursuing certifications in areas like AI ethics, advanced statistical analysis, or specific research methodologies.

📝 Enhancement Note: The challenges reflect the current landscape of UX research, especially concerning AI. The growth opportunities are geared towards advancing expertise and leadership within the UX and broader product development field, with a clear link to influencing product adoption and market success.

💡 Interview Preparation

Strategy Questions:

• "Describe a complex research program you led from conception to influencing product strategy. What were the key challenges, and how did you overcome them?" (Focus on your strategic thinking, autonomy, and impact).

• "How do you approach researching AI-enabled experiences? Discuss a time you evaluated user trust, usability, or adoption for an AI feature." (Prepare specific examples and methodologies).

• "Imagine you're tasked with researching a new AI feature for Concur. What would be your first steps, what research questions would you prioritize, and what methods would you propose?" (Demonstrate your process for tackling ambiguity and framing research objectives). Company & Culture Questions:

• "What do you know about SAP Concur and its users? How do you think UX research can contribute to its success, particularly with new AI integrations?" (Show you've done your homework on the product and industry).

• "Describe your experience working in a hybrid environment and collaborating with global teams. How do you ensure effective communication and alignment?" (Highlight your collaboration skills).

• "How do you mentor junior researchers? Describe a time you helped someone grow their skills or overcome a research challenge." (Prepare examples of your mentorship approach). Portfolio Presentation Strategy:

• Structure for Impact: For each case study, clearly define: 1. The Business/Product Problem, 2. Your Role & Objectives, 3. Methodology (Why you chose it, how you executed), 4. Key Findings (The "aha!" moments), 5. Recommendations (Actionable steps), 6. Impact (Quantifiable results/influence on product).

• Visuals are Key: Use clear, concise visuals (screenshots, charts, key quotes) to illustrate your points. Avoid text-heavy slides.

• Tell a Story: Engage your audience by framing your research as a narrative. Explain the journey and the insights gained.

• Focus on AI: If presenting an AI-related project, explicitly address how you assessed user trust, perceived quality, and potential adoption drivers/barriers.

• Be Prepared for Deep Dives: Anticipate questions about your methodology choices, data analysis, how you handled challenges, and how your findings were implemented.

📝 Enhancement Note: Preparing for this role requires demonstrating not just research skills but strategic thinking, leadership potential, and a deep understanding of how UX research contributes to business outcomes, especially with emerging technologies like AI.

📌 Application Steps

To apply for this Sr User Experience Research Specialist position:

• Submit your application through the SAP jobs portal using the provided URL.

• Customize your Resume: Tailor your resume to highlight keywords and responsibilities mentioned in the job description, such as "mixed-methods research," "AI-enabled experiences," "product strategy," "mentorship," and "stakeholder collaboration." Quantify your achievements with data whenever possible.

• Prepare Your Portfolio: Curate 2-3 of your strongest UX research projects that exemplify your expertise in leading end-to-end research, applying mixed methodologies, and influencing product strategy. Ensure at least one project specifically showcases your experience with AI-enabled experiences.

• Practice Your Portfolio Presentation: Rehearse your presentation thoroughly, focusing on clear storytelling, highlighting impact, and being ready to answer in-depth questions about your process and findings. Practice articulating the business value of your research.

• Research SAP and Concur: Familiarize yourself with SAP's mission, values, and Concur's product suite, target users, and recent developments, especially regarding AI integration. Understand SAP's commitment to innovation and customer-centricity.

⚠️ 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.