Sr UX Researcher I - Bilingual (French/English)

📍 Job Overview

Job Title: Sr UX Researcher I - Bilingual (French/English) Company: Reed Technology (for LexisNexis Legal & Professional) Location: Toronto, Ontario, Canada / Quebec, Quebec, Canada Job Type: FULL_TIME Category: User Experience (UX) Research / Product Development Operations Date Posted: 2025-11-07 Experience Level: Mid-Senior Level (5-10 years inferred) Remote Status: Remote Optional

🚀 Role Summary

• Lead and execute comprehensive user research initiatives to deeply understand user needs, behaviors, and motivations within the legal and business information domain.
• Translate complex research findings into actionable insights that directly inform product strategy, design decisions, and feature prioritization for data products, including those leveraging Generative AI.
• Collaborate closely with cross-functional teams, including product managers, designers, and engineers, to champion a user-centered approach throughout the entire product development lifecycle.
• Develop and refine research strategies that align with overarching product and business objectives, ensuring research efforts drive innovation and enhance the user experience of LexisNexis's offerings.

📝 Enhancement Note: While the role is listed as UX Researcher, its focus on informing product design for "business data products" and the mention of "Generative AI" and the "Canadian legal system" strongly indicate a role within Product Operations or GTM Operations, specifically focused on user insights for product development and market fit. The emphasis on analytics data and informing strategy further solidifies this. The bilingual requirement points to a need for market-specific user understanding in Canada.

📈 Primary Responsibilities

• Design, plan, and execute a diverse range of user research studies, including but not limited to interviews, focus groups, usability testing, card sorting, surveys, and ethnographic research, across various contexts (remote, in-person, moderated, unmoderated).
• Analyze qualitative and quantitative research data using advanced analytical methods and tools (e.g., Qualtrics, Dovetail, Excel, R) to identify key user pain points, unmet needs, and opportunities for product innovation.
• Develop and present compelling research findings, insights, and recommendations to product, design, engineering, and business stakeholders, effectively influencing strategic priorities and product roadmaps.
• Craft and champion research strategies in partnership with stakeholders, ensuring alignment with product vision and business goals, particularly in areas of Generative AI and advanced legal analytics.
• Integrate user insights with analytics data to refine research approaches, validate hypotheses, and ensure product development is data-driven and user-centric.
• Collaborate with designers and product managers to translate research insights into concrete use cases, user personas, and actionable design recommendations, facilitating the ideation and iteration process.
• Independently manage the recruitment of research participants, ensuring compliance with ethical guidelines and data privacy regulations, particularly within the Canadian legal context.
• Mentor and guide junior UX researchers, fostering a collaborative and growth-oriented research environment within the global UX team.

📝 Enhancement Note: The responsibilities highlight a senior-level role requiring strategic thinking, independent project leadership, and the ability to influence cross-functional teams. The integration of analytics data with qualitative research and the focus on specific frameworks like "Jobs to Be Done" and "Generative AI" are critical for success.

🎓 Skills & Qualifications

Education:

• Bachelor's degree in Human Factors, Psychology, Design, Anthropology, Computer Science, or a related field. A Master's degree or PhD in a relevant discipline is often preferred for senior-level research roles, though not explicitly stated here.

Experience:

• 5-10 years of progressive experience in user experience research, with a proven track record of leading significant research projects from conception to completion.
• Demonstrated experience in discovery (generative) research focused on identifying user needs, motivations, and behaviors to uncover innovation opportunities.
• Experience applying the "Jobs to Be Done" framework to understand user motivations and inform product strategy.
• Experience researching and understanding the nuances of the Canadian legal system is a significant asset.

Required Skills:

• Expert-level proficiency in a wide array of user research methodologies, including interviews, focus groups, usability testing, card sorting, surveys, field studies, and contextual inquiry.
• Advanced proficiency with research analysis tools such as Qualtrics, Dovetail, Excel, and statistical software (e.g., R).
• Strong understanding of statistical methods and their application to research questions.
• Exceptional communication, presentation, and storytelling skills, with the ability to articulate complex research findings clearly and persuasively to diverse audiences, including executive leadership.
• Demonstrated experience in conducting research across different contexts: remote, in-person, moderated, and unmoderated.
• Bilingual proficiency in both English and French, essential for engaging with the Canadian market.
• Ability to work independently, manage recruitment compliantly, and adhere to ethical research practices.

Preferred Skills:

• Experience with Generative AI research and its application in product development.
• Familiarity with product analytics tools and integrating quantitative data with qualitative research insights.
• Experience in mentoring junior researchers or leading research teams.
• Familiarity with agile development methodologies and working within cross-functional product teams.

📝 Enhancement Note: The requirement for expert-level tool proficiency and statistical methods points to a need for a highly analytical and technically capable researcher. The bilingual requirement is key for the Canadian market. The mention of "Generative AI" and "Canadian legal system" are specific domain knowledge areas that will be highly valued.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• A robust portfolio showcasing a minimum of 3-5 significant user research projects. Each project should clearly articulate the research problem, methodology, your role, the process followed, and the impact of the research on product decisions and business outcomes.
• Demonstrate experience in defining and executing research strategies that align with product roadmaps and business objectives.
• Evidence of utilizing a range of research methods and tools, with a focus on how these were selected to address specific research questions.
• Examples of how research insights were translated into actionable recommendations for product managers and designers, and how these recommendations influenced product development.
• Showcase your ability to present research findings compellingly, using data visualization and storytelling techniques to drive stakeholder understanding and buy-in.

Process Documentation:

• Detailed documentation of your research process, from defining research questions and designing studies to data analysis, synthesis, and reporting.
• Examples of how you have integrated user feedback and analytics data into iterative product development cycles.
• Demonstrate an understanding of ethical research practices, participant recruitment, and data privacy compliance, particularly relevant for sensitive data like that within the legal domain.
• Showcase your ability to adapt research processes to different project needs, constraints, and contexts (e.g., fast-paced agile environments, complex enterprise software).

📝 Enhancement Note: For a Senior UX Researcher, a portfolio is critical. It should not just list projects but demonstrate the strategic thinking, methodological rigor, and impact of their research. For this role, highlighting experience with complex data products, AI, and the legal domain will be particularly strong.

💵 Compensation & Benefits

Salary Range:

• Based on the Senior UX Researcher I title, 5-10 years of experience, and the Canadian market (Toronto/Quebec), a competitive annual salary range is estimated between CAD $90,000 - $130,000. This estimate considers the cost of living in major Canadian cities, the specialized nature of UX research, and the specific domain expertise required.
• The compensation may vary based on the candidate's specific experience, qualifications, and the final negotiation.

Benefits:

• Wellbeing Initiatives: Programs and resources aimed at supporting employee physical, mental, and financial health.
• Shared Parental Leave: Generous policies to support new parents.
• Study Assistance: Support for continued learning and professional development, including courses, certifications, and potentially tuition reimbursement.
• Sabbaticals: Opportunities for extended leave to recharge, pursue personal projects, or gain new experiences.
• Flexible Working Hours: Ability to adjust daily working times to optimize productivity and work-life balance.
• Innovation & Experimentation: A culture that encourages trying new approaches and developing innovative solutions.
• Annual Incentive Bonus: Eligibility for an annual bonus, indicating performance-based compensation.
• Comprehensive Health Coverage: Standard benefits likely include medical, dental, and vision insurance.
• Retirement Savings Plan: Employer-sponsored retirement savings programs (e.g., RRSP matching in Canada).

Working Hours:

• Standard full-time hours are expected, likely around 40 hours per week.
• The role emphasizes flexible working hours, allowing employees to adjust their start and end times to suit personal needs and peak productivity periods, provided core business hours and collaboration needs are met.

📝 Enhancement Note: The salary range is an estimation based on industry benchmarks for similar roles in Canada. The benefits listed are directly from the job description, highlighting a strong focus on employee well-being and professional growth, which is attractive to operations professionals.

🎯 Team & Company Context

🏢 Company Culture

Industry: Information Services & Technology (Legal Tech, Analytics, AI) Company Size: LexisNexis Legal & Professional is a part of RELX, a global organization with over 11,800 employees worldwide. This indicates a large, established company with significant resources and a global presence. Founded: RELX was founded in 1958. LexisNexis has a long history in legal information, with its digital services dating back decades. This heritage suggests a stable company with deep roots in its industry, now actively embracing digital transformation and AI.

Team Structure:

• The UX team is described as "global, passionate, and diverse." This suggests a collaborative environment with researchers located in various regions.
• The Senior UX Researcher will likely report into a UX Research Lead or Manager, and will work closely with Product Managers, Designers, and Engineers within specific product teams focused on LexisNexis's business data products.
• Cross-functional collaboration is a core expectation, emphasizing teamwork and shared ownership in product development.

Methodology:

• A strong emphasis on user research to "inform product design decisions" and "enhance user experiences."
• Data-driven decision-making, utilizing both qualitative research insights and analytics data.
• Innovation and experimentation are actively encouraged and expected, particularly in the application of AI technologies.
• Adherence to ethical research practices and data privacy is paramount.
• The company is actively deploying AI and advanced technologies, indicating a forward-thinking approach to product development.

Company Website: https://www.lexisnexis.com/en-ca (Canadian site) and https://www.relx.com/

📝 Enhancement Note: The company's positioning at the intersection of legal, information services, and advanced technology (AI) provides a unique context for UX research. The scale of RELX suggests opportunities for broad impact and exposure to complex, global products, while the specific focus on LexisNexis Legal & Professional means deep domain expertise is valued.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned as a Senior UX Researcher I, indicating a mid-to-senior level within the UX research discipline. It requires independent leadership of research projects, the ability to influence strategy, and the capacity to mentor junior colleagues. It's a key contributor role with significant impact on product direction.

Reporting Structure: The role is part of a global UX team and will report to a research lead or manager. Day-to-day collaboration will be with product managers, designers, and engineers on specific product initiatives. This structure allows for both specialized expertise and cross-functional integration.

Operations Impact: The core impact of this role is on the success of LexisNexis's business data products. By ensuring these products are intuitive, user-friendly, and meet genuine user needs (especially with the integration of AI), the UX Researcher directly contributes to customer satisfaction, adoption rates, productivity gains for legal professionals, and ultimately, revenue growth and market leadership for LexisNexis. The research insights will shape the competitive edge of their AI-powered solutions.

Growth Opportunities:

• Specialization: Deepen expertise in specific product areas (e.g., Generative AI in law, legal analytics) or research methodologies.
• Leadership: Progress to a Lead UX Researcher or UX Research Manager role, managing larger projects or teams, and taking on more strategic responsibilities.
• Cross-functional Mobility: Transition into Product Management, Product Strategy, or other roles within the GTM or Product Operations functions, leveraging deep user understanding.
• Skill Development: Continuous learning in emerging research techniques, AI applications, and the evolving legal tech landscape through company-provided resources, training, and conferences.
• Global Exposure: Opportunities to work on international product initiatives and collaborate with diverse teams across RELX.

📝 Enhancement Note: The "Senior" title implies a clear path for advancement. For operations professionals, understanding how UX research directly impacts product adoption and revenue is key. The growth opportunities highlight the potential for career diversification within a large tech-focused information services company.

🌐 Work Environment

Office Type: The job description mentions "Work in a way that works for you" and "Working flexible hours," alongside "Remote optional." This suggests a hybrid or remote-first approach. While specific office locations are listed (Toronto, Quebec), the flexibility indicates that the company supports distributed work. Office Location(s): Toronto, Ontario, Canada; Quebec, Quebec, Canada. This implies access to major Canadian business hubs, offering opportunities for in-person collaboration if desired or required for specific research activities.

Workspace Context:

• Collaborative Environment: The emphasis on working with cross-functional teams (designers, product managers, engineers) and being part of a global UX community points to a highly collaborative workspace, whether in-person or virtual.
• Tools & Technology: Access to industry-standard UX research tools (Qualtrics, Dovetail, etc.) and analytics platforms is implied, facilitating efficient research and data analysis.
• Innovation Focus: The culture encourages experimentation, suggesting an environment where new ideas are welcomed and explored, particularly concerning AI and data products.

Work Schedule:

• Full-time (likely 40 hours/week).
• Flexible working hours are a key benefit, allowing employees to manage their schedules effectively while ensuring availability for team collaboration and research activities.

📝 Enhancement Note: The flexibility offered in terms of work arrangement (remote optional) and hours is a significant draw for operations professionals who often value autonomy and work-life balance. The mention of specific Canadian locations indicates a need for understanding the regional nuances of the Canadian market.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A recruiter or hiring manager will review applications and resumes focusing on relevant experience, bilingualism, and research methodology expertise.
• Technical Interview/Screen: A discussion about research methods, tools, experience with specific frameworks (JTBD, AI research), and past projects, likely including a deep dive into portfolio examples.
• Portfolio Presentation: Candidates will likely be asked to present a detailed case study of one or more significant research projects from their portfolio. This is a critical stage to assess strategic thinking, research execution, and communication skills.
• Cross-functional Interviews: Meetings with Product Managers, Designers, and potentially engineers to assess collaboration style, ability to translate insights into actionable product recommendations, and understanding of product development workflows.
• Final Interview: A conversation with senior leadership or the hiring manager to discuss overall fit, career aspirations, and strategic alignment with the company's vision, particularly regarding AI and data products.

Portfolio Review Tips:

• Structure Your Case Studies: For each project, clearly outline:
  • The Challenge: The business problem or user need addressed.
  • Your Role: Clearly define your responsibilities (e.g., lead researcher, sole researcher).
  • Methodology: Justify your choice of research methods and tools.
  • Process: Detail your approach to planning, execution, and analysis.
  • Insights: Present the key findings and their implications.
  • Impact/Outcome: Quantify the impact on product decisions, user experience, or business metrics (e.g., improved conversion rates, reduced support tickets, increased user satisfaction).
• Highlight Bilingualism: If applicable, ensure your portfolio or presentation explicitly showcases how your French/English bilingualism was leveraged in past research, especially for Canadian markets.
• Showcase AI & Legal Domain Experience: If you have experience with Generative AI, advanced analytics, or the Canadian legal system, make these prominent.
• Focus on Influence: Demonstrate how your research influenced product strategy and design. Use specific examples of recommendations you made and how they were implemented.
• Prepare for Q&A: Be ready to discuss your decisions, challenges faced, and alternative approaches you might have considered.

Challenge Preparation:

• Hypothetical Research Scenario: You might be given a product or feature and asked to design a research plan to understand user needs or test a concept. Focus on methodology, participant selection, and how you'd measure success.
• Insight Synthesis: You may be presented with mock data or findings and asked to synthesize them into actionable recommendations.
• Presentation Skills: Practice delivering your portfolio presentation concisely and engagingly, tailoring it to a potentially mixed audience of researchers, product managers, and designers.

📝 Enhancement Note: The emphasis on a portfolio presentation is crucial for this role. Candidates should prepare to demonstrate not just research execution but strategic thinking and business impact. The bilingual requirement will likely be tested throughout the interview process, possibly including parts of the interview conducted in French.

🛠 Tools & Technology Stack

Primary Tools:

• Research Platforms: Qualtrics (for surveys, advanced analytics, participant management), Dovetail (for research synthesis and analysis).
• Data Analysis & Visualization: Excel (expert level), R (statistical analysis), and potentially other statistical software or data visualization tools.
• Collaboration & Project Management: Tools like Jira, Confluence, Asana, or Trello for managing research projects and collaborating with product teams.
• Prototyping & Design Tools: Familiarity with tools like Figma, Sketch, or Adobe XD is beneficial for understanding design outputs and collaborating on iterative designs.

Analytics & Reporting:

• Web/Product Analytics: Experience with tools like Google Analytics, Adobe Analytics, or product-specific analytics platforms (e.g., Mixpanel, Amplitude) to inform research and measure impact.
• Reporting Dashboards: Ability to create clear, concise reports and dashboards (e.g., using Tableau, Power BI, or built-in features of analytics tools) to communicate findings to stakeholders.

CRM & Automation:

• While not directly a CRM role, understanding how user feedback and research insights integrate with CRM data (e.g., Salesforce) to inform customer segmentation and product marketing can be advantageous.
• Familiarity with automation tools for research participant recruitment or survey distribution.

📝 Enhancement Note: Proficiency with Qualtrics and Dovetail is explicitly mentioned, suggesting these are key tools. The ability to leverage statistical software like R and integrate research insights with product analytics is also critical for a data-informed approach.

👥 Team Culture & Values

Operations Values:

• User-Centricity: A deep commitment to understanding and advocating for the user in all product decisions.
• Data-Driven Decision Making: Valuing both qualitative research insights and quantitative analytics to guide strategy and development.
• Innovation & Experimentation: Encouraging a proactive approach to exploring new technologies (like Generative AI) and creative solutions.
• Collaboration: Fostering strong partnerships across product, design, engineering, and business functions.
• Efficiency & Impact: Focusing research efforts on delivering tangible value and improving product performance and user productivity.
• Ethical Practice: Upholding high standards in research conduct, data privacy, and responsible AI deployment.

Collaboration Style:

• Cross-functional Integration: Researchers are expected to work closely with product managers and designers, acting as integral members of product teams rather than isolated specialists.
• Insight Sharing: A culture of open communication and knowledge sharing, where research findings are disseminated broadly to inform product strategy and development.
• Feedback Loop Culture: Encouraging constructive feedback and iterative refinement of both products and research processes.
• Stakeholder Engagement: Proactive engagement with stakeholders to ensure research alignment, gather input, and drive adoption of insights.

📝 Enhancement Note: The company's values likely align with standard tech industry practices but with a specific emphasis on the legal domain's need for accuracy, reliability, and ethical considerations, especially with AI. The bilingual requirement suggests a value placed on diverse perspectives and market understanding.

⚡ Challenges & Growth Opportunities

Challenges:

• Complexity of Legal Domain: Navigating the intricate nuances of the Canadian legal system and its users requires a steep learning curve and deep domain understanding.
• Integrating Generative AI: Researching user needs and ethical considerations for novel AI applications in a highly regulated field presents unique challenges.
• Balancing Stakeholder Needs: Aligning diverse stakeholder priorities with user needs and research constraints requires strong negotiation and communication skills.
• Fast-Paced Environment: Keeping pace with rapid technological advancements (AI) and evolving market demands within a large organization.
• Remote Collaboration: Effectively conducting research and fostering collaboration within distributed or hybrid teams.

Learning & Development Opportunities:

• Domain Expertise: Deep dive into the legal industry, legal tech, and Canadian legal practices.
• AI Research Methodologies: Develop specialized skills in researching and evaluating AI-driven products, including ethical AI.
• Advanced Analytics: Enhance skills in statistical analysis and integrating quantitative data with qualitative findings.
• Leadership & Mentorship: Opportunities to lead larger research initiatives and mentor junior team members.
• Industry Conferences & Certifications: Access to professional development, training, and networking through industry events and certifications relevant to UX research and AI.

📝 Enhancement Note: The challenges are directly tied to the specific domain (legal, AI) and the senior-level expectations of influencing stakeholders and driving innovation. The growth opportunities are geared towards deepening expertise and advancing within the UX research or broader product operations field.

💡 Interview Preparation

Strategy Questions:

• "Describe a major research project you led. What was the business problem, your research strategy, the methods used, key findings, and the impact on the product and business?" (Prepare a STAR method answer, focusing on strategic alignment and measurable outcomes).
• "How would you approach researching user needs for a new Generative AI feature in a legal product? What ethical considerations would you prioritize?" (Focus on methodology, participant recruitment for sensitive topics, and responsible AI principles).
• "How do you balance the needs of different stakeholders (product, design, engineering, legal) when conducting research?" (Emphasize communication, negotiation, and data-driven advocacy for the user).
• "Describe your experience with the 'Jobs to Be Done' framework. How have you used it to uncover opportunities or inform product strategy?" (Provide concrete examples of JTBD application).

Company & Culture Questions:

• "Why are you interested in LexisNexis and the legal technology space?" (Research the company's mission, recent AI initiatives, and its role in the legal market).
• "How do you see your bilingual (French/English) skills contributing to this role and our Canadian market presence?" (Be prepared to discuss specific examples or how you would leverage this).
• "Describe your experience mentoring junior researchers or collaborating within a global UX team." (Highlight teamwork, knowledge sharing, and leadership potential).

Portfolio Presentation Strategy:

• Select Your Best Work: Choose 1-2 projects that best showcase your senior-level capabilities, strategic thinking, impact, and relevance to the role (AI, legal domain, data products).
• Tell a Story: Frame your presentation as a narrative, guiding the audience through the problem, your process, the insights, and the tangible outcomes.
• Quantify Impact: Whenever possible, use metrics to demonstrate the value of your research (e.g., user satisfaction improvements, feature adoption rates, efficiency gains).
• Be Prepared for Deep Dives: Anticipate detailed questions about your methodology, data analysis, participant selection, and how you navigated challenges.
• Showcase Bilingualism: If applicable to your chosen case study, highlight how your language skills were instrumental.
• Practice, Practice, Practice: Rehearse your presentation to ensure it flows well, stays within the allotted time, and is delivered confidently.

📝 Enhancement Note: Preparing specific examples for each question, especially those related to AI, the legal domain, and bilingual capabilities, will be crucial. The portfolio presentation is likely the most significant part of the interview process.

📌 Application Steps

To apply for this operations position:

• Submit your application through the provided Workday link: https://relx.wd3.myworkdayjobs.com/LexisNexisLegal/job/Toronto/Sr-UX-Researcher-I_R102761
• Curate Your Portfolio: Select 1-2 high-impact research projects that best demonstrate your senior-level UX research expertise, strategic thinking, and experience with complex data products, AI, or the legal domain. Ensure each project clearly articulates the problem, your role, methodology, insights, and measurable outcomes. Prepare to present these in detail.
• Optimize Your Resume: Tailor your resume to highlight keywords from the job description, such as "user research," "qualitative and quantitative analysis," "research strategy," "Generative AI," "Jobs to Be Done," "bilingual (French/English)," and specific research tools (Qualtrics, Dovetail). Quantify your achievements wherever possible.
• Practice Interview Responses: Prepare for behavioral and situational questions using the STAR method, focusing on examples that demonstrate your ability to lead research, influence stakeholders, and adapt to new technologies and domains. Rehearse your portfolio presentation.
• Research the Company: Thoroughly understand LexisNexis's mission, its role in the legal technology sector, its AI initiatives, and its presence in the Canadian market. Be ready to articulate why you are a good cultural and strategic fit.

⚠️ 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.