Designer UX Data & IA - F/H - CDI

📍 Job Overview

Job Title: Designer UX Data & IA - F/H - CDI

Company: Talan

Location: Paris, Île-de-France, France

Job Type: Full-time (Temps complet)

Category: User Experience (UX) Design / Data & AI Design

Date Posted: August 10, 2026

Experience Level: 5-10 Years

Remote Status: Hybrid

🚀 Role Summary

• This role focuses on transforming user and business needs into intelligent, conversational, and decision-oriented experiences by integrating Data, Generative AI, and business intelligence.

• The position involves designing user journeys where individuals interact with AI copilots, query KPIs, and explore data to inform decision-making, moving beyond traditional click-based interfaces.

• Successful candidates will contribute to the creation of sophisticated user experiences across Data UX, AI UX, and Conversational UX within Talan's Data & AI project teams.

• The role requires leveraging AI tools in daily practice to enhance efficiency, creativity, and quality in UX design processes, including workshop preparation, scenario generation, and prototyping.

📝 Enhancement Note: The job title "Designer UX Data & IA - F/H - CDI" and the description clearly indicate a senior-level UX Design role with a specialized focus on Data and Artificial Intelligence. The "F/H" signifies "Femme/Homme" (Female/Male), common in French job postings, and "CDI" translates to a permanent contract. The AI-derived experience level of 5-10 years is appropriate for this specialized senior role.

📈 Primary Responsibilities

• Conduct user research to understand user needs, pain points, and contexts within business domains, translating these into actionable design strategies.

• Lead and participate in ideation and design workshops to identify use cases and define user flows and interactions within the solution.

• Design decision-oriented user experiences for dashboards, KPIs, insights, and analytical journeys, organizing information and structuring interfaces for clarity and impact.

• Collaborate closely with Data, BI, and Business teams to make data more understandable and actionable, ensuring design solutions align with business objectives.

• Design conversational experiences integrating AI copilots, business assistants, or intelligent agents, anticipating user intentions, defining dialogue scenarios, and managing clarification mechanisms.

• Utilize AI tools such as Microsoft Copilot, ChatGPT Enterprise, Gemini, or Claude to enhance efficiency in workshop preparation, scenario generation, user story formalization, and prototyping.

• Contribute to the creation and enhancement of UX, Data UX, AI UX, and Conversational UX assets for Talan's offerings.

• Disseminate best practices in design within the Design & Adoption community and contribute to pre-sales activities, framing sessions, and commercial proposal design.

• Capitalize on field experience to enrich Talan's approaches, methods, and support materials, and participate in discussions on the evolving role of UX Design in the era of AI and agentic BI.

📝 Enhancement Note: The responsibilities are detailed and cover the full spectrum of UX design, with a strong emphasis on Data UX and AI UX. The mention of specific AI tools and the integration of AI into the designer's workflow are key differentiators for this role, indicating a forward-thinking approach to design within Talan's Data & AI practice.

🎓 Skills & Qualifications

Education:

• Master's degree (Bac +5) in Design, Business School, Engineering School, or equivalent.

• Postgraduate degree in a relevant field is preferred. Experience:

• Minimum of 5 years of experience in UX Design or Product Design.

• Significant experience in digital, Data, BI, Analytics, or AI projects.

• Demonstrated ability to contribute from the framing phase through to detailed design. Required Skills:

• Proficiency in formalizing user journeys, pain points, needs, and opportunities.

• Mastery of wireframing, prototyping, and user flow design.

• Strong understanding of ergonomics, accessibility, and usability principles.

• Ability to facilitate co-design workshops with business, product, data, and IT profiles.

• Keen sensitivity to user experience quality, simplicity of use, and business impact.

• Good understanding of data usage within organizations and the ability to comprehend KPIs, business rules, and decision-making processes.

• Proficiency in design and prototyping tools: Figma, FigJam, Miro, Adobe XD, or equivalent.

• Regular use or mastery of AI tools: Microsoft Copilot, ChatGPT, Claude, Gemini, or equivalent.

• Excellent interpersonal skills, strong listening and empathy capabilities.

• Curiosity for Data and AI subjects, analytical and synthesis skills.

• Ability to simplify complex subjects, service-oriented mindset, and user satisfaction focus.

• Autonomy, pragmatism, and prioritization skills.

• Teamwork and multidisciplinary collaboration aptitude.

• Ability to animate, convince, and onboard diverse stakeholders.

• Critical thinking, systemic vision, and ability to take a step back. Preferred Skills:

• Experience in designing conversational experiences, including anticipating user intentions, defining dialogue scenarios, and managing clarification mechanisms.

• Sensitivity to issues of trust, transparency, explainability, and limitations of AI-generated responses.

• Good understanding of data visualization tools, particularly Power BI.

• Ability to produce clear deliverables: journeys, prototypes, workshop materials, summaries, recommendations, usage guides.

• Certifications in UX, Design Thinking, Service Design, or Product Design are appreciated.

📝 Enhancement Note: The qualifications section effectively bridges the gap between traditional UX and the specialized requirements of Data and AI UX. The emphasis on AI tool proficiency and understanding of data concepts is crucial for this role. The inclusion of soft skills like empathy, critical thinking, and stakeholder management highlights the collaborative and influential nature of the position.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Demonstrate experience in transforming complex user needs and business objectives into intuitive digital experiences, with a focus on data-driven insights and AI integration.

• Showcase case studies of user research, journey mapping, and wireframing/prototyping for Data and AI-centric projects, highlighting the problem, your solution, and the measurable impact.

• Include examples of designing for data visualization, KPIs, and decision support systems, illustrating how you made complex data understandable and actionable.

• Present projects involving conversational interfaces or AI copilots, detailing the design process for dialogue flows, user intentions, and AI interaction management. Process Documentation:

• Provide documentation of your design process, emphasizing how you integrate user research, ideation, prototyping, and user testing in a Data and AI context.

• Show examples of how you collaborate with technical teams (Data Engineers, BI Developers, AI Specialists) to ensure feasibility and effective implementation of design solutions.

• Illustrate your approach to organizing information and structuring interfaces for analytical and decision-support applications, ensuring clarity and ease of navigation.

• Detail your experience in using AI tools to augment your design workflow, from initial ideation to final output generation, and how you ensure the quality and ethical considerations of AI-assisted design.

📝 Enhancement Note: This section is tailored to emphasize the candidate's ability to showcase practical experience in the specific domains of Data UX and AI UX. The focus on process documentation and portfolio content related to data, AI, and conversational interfaces is critical for a role like this.

💵 Compensation & Benefits

Salary Range: €45,000 - €55,000 annually

• This salary range is competitive for a Senior UX Designer with specialized skills in Data and AI in the Paris region, considering the experience level (5-10 years) and the demanding nature of the role. The range reflects Talan's positioning as a leading international group. Benefits:

• Training & Development: Comprehensive training plan, access to editor certifications, and proximity management by experts.

• Work Environment: Modern office spaces in the city center, recognized as a Great Place to Work (Top 5).

• Flexibility: Hybrid work arrangement with up to 5 days of remote work depending on missions, plus a €100 equipment allowance.

• Mobility: Opportunities for professional growth and movement within France and internationally.

• Corporate Social Responsibility: Recognition as a Top 1% company by Ecovadis for social, environmental, and ethical performance.

• Standard Benefits: Restaurant vouchers, holiday bonus, 50% public transport subsidy, and comprehensive health insurance (mutuelle).

• Employee Ownership: Access to employee shareholding programs.

• Referral Program: Bonus for successful candidate referrals.

• Work-Life Balance: RTT (Reduction of Working Time) days.

• Dedicated Support: Handicap permanence (dedicated consultant for employees with disabilities and their caregivers).

Working Hours: 40 hours per week (standard full-time in France)

📝 Enhancement Note: The salary range provided by the input data is directly used. The benefits list is comprehensive and reflects the detailed information provided in the job description, highlighting Talan's commitment to employee well-being, development, and work-life balance. The mention of "RTT" is specific to French labor law.

🎯 Team & Company Context

🏢 Company Culture

Industry: Consulting, Technology, Data & Artificial Intelligence. Talan operates at the intersection of management consulting and technological expertise, focusing on digital transformation with a strong emphasis on Data and AI.

Company Size: Over 6,000 employees globally. This large, international presence offers opportunities for diverse project exposure and career mobility, while the "community" aspect suggests a culture that fosters collaboration and knowledge sharing across a significant workforce.

Founded: Founded in France, Talan has over 20 years of experience and operates across 5 continents. This long history signifies stability and deep industry knowledge, particularly in strategic sectors like finance, energy, transport, luxury, and healthcare.

Team Structure:

• The role is within the "Design & Adoption" community, specifically within Data & AI project teams. This suggests a specialized group focused on ensuring user adoption of new technologies and designs.

• Reporting structure likely involves a direct manager within the Design & Adoption community and project-based reporting to project leads or clients.

• Cross-functional collaboration is a cornerstone, involving close work with business stakeholders, Data Scientists, BI analysts, IT teams, and potentially AI specialists. Methodology:

• Talan emphasizes a "combined" approach of management consulting and technological expertise, suggesting a blend of strategic thinking and hands-on implementation.

• The company invests in an "innovation ecosystem" with experts, proprietary solutions, and R&D labs, indicating a culture that values continuous improvement and cutting-edge practices.

• A focus on "Positive Innovation" implies a commitment to creating sustainable and impactful technological advancements.

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

📝 Enhancement Note: The company description highlights Talan's strong position in Data & AI consulting, its global reach, and its commitment to innovation. For an operations professional, understanding this context is key to appreciating the scale of projects and the collaborative, forward-thinking environment.

📈 Career & Growth Analysis

Operations Career Level: Senior UX Designer, with a specialization in Data and AI. This level implies significant autonomy, the ability to lead design initiatives, and a role in shaping design strategies within complex Data & AI projects. The "F/H - CDI" designation confirms a permanent, full-time position with long-term career prospects.

Reporting Structure: The role operates within the "Design & Adoption" community, suggesting a dedicated group of design professionals. Reporting likely goes up to a Design Lead or Manager within this community, with project-specific reporting to client stakeholders or internal project managers.

Operations Impact: The role's impact is centered on transforming user and business needs into intelligent, actionable experiences. By making Data and AI more accessible and useful, this role directly influences user adoption, decision-making quality, and ultimately, the business value derived from data and AI investments. The focus on "decision-oriented experiences" and "generative value" highlights this direct impact.

Growth Opportunities:

• Specialization Deepening: Opportunities to become a leading expert in Data UX, AI UX, and Conversational UX within Talan's Data & AI practice, potentially leading to principal or architect roles.

• Leadership Development: Potential to lead design teams on major client projects, mentor junior designers, and contribute to the strategic direction of Talan's design offerings.

• Cross-functional Expertise: Gaining deeper insights into Data Science, Business Intelligence, and Generative AI technologies, enabling more holistic solution design.

• Client Engagement: Developing strong client relationship management skills and contributing to pre-sales and business development efforts.

• Continuous Learning: Access to Talan's extensive training programs, certifications, and R&D initiatives to stay at the forefront of design and AI trends.

📝 Enhancement Note: This analysis frames the role not just as a design position, but as a strategic contributor to Talan's Data & AI transformation efforts, offering clear pathways for career advancement and skill development within a specialized and high-demand field.

🌐 Work Environment

Office Type: Modern offices located in the city center of Paris. This suggests a professional, accessible, and potentially vibrant work environment.

Office Location(s): Paris, France. The primary work location is Paris, with potential for travel for client meetings or specific project requirements.

Workspace Context:

• Collaborative Environment: The company culture emphasizes teamwork and multidisciplinary collaboration, suggesting an open and interactive workspace designed to facilitate communication between design, data, and business teams.

• Tools and Technology: Access to modern design and prototyping tools (Figma, etc.) and AI tools (Copilot, ChatGPT, etc.) is expected, reflecting Talan's commitment to leveraging technology for efficiency and innovation.

• Team Interaction: Opportunities for regular interaction with the Design & Adoption community, project teams, and client stakeholders, fostering a dynamic and engaging work atmosphere.

Work Schedule: The standard work week is 40 hours, with a hybrid arrangement allowing up to 5 days of remote work, offering flexibility to balance on-site collaboration with focused remote work.

📝 Enhancement Note: The description of the work environment emphasizes a blend of modern office facilities, collaborative culture, and technological enablement, which is attractive to professionals in UX and operations roles seeking both structure and flexibility.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening (30 min Video Call): A call with a recruiter to introduce the role, understand your professional aspirations, and assess initial fit. Be prepared to articulate your career goals and why this specific role at Talan appeals to you.

• Technical/Managerial Interviews (On-site): Typically one or two interviews, at least one conducted on-site, to delve into your technical skills, design methodologies, and experience with Data & AI UX. Be ready to discuss your approach to specific challenges and demonstrate your understanding of Talan's work.

• Portfolio Presentation: Expect to present a curated selection of your work, focusing on projects that align with Data UX, AI UX, and conversational design. Be prepared to walk through your process, design decisions, and the outcomes achieved.

Portfolio Review Tips:

• Curate Strategically: Select 3-4 projects that best showcase your expertise in Data UX, AI UX, and conversational design. Prioritize projects with measurable impact and clear problem/solution narratives.

• Structure Your Case Studies: For each project, clearly outline the business problem, user needs, your role and process, key design decisions, challenges faced, and the final outcomes (e.g., improved user engagement, better decision-making, increased efficiency).

• Highlight Data & AI Integration: Specifically detail how you incorporated data analysis, user research for data interpretation, and AI (generative or otherwise) into your design solutions. Explain the "why" behind your design choices in these contexts.

• Demonstrate Tool Proficiency: Showcase your ability to use tools like Figma for wireframing and prototyping, and mention your experience with relevant AI tools.

• Prepare for Questions: Anticipate questions about your design philosophy, how you handle conflicting stakeholder requirements, your approach to user testing complex data interfaces, and your understanding of AI's limitations and ethical considerations.

Challenge Preparation:

• While not explicitly mentioned, senior design roles often involve a design challenge or case study. Prepare to tackle a hypothetical problem related to data visualization, AI-driven insights, or a conversational interface design.

• Focus on demonstrating your problem-solving approach, your ability to think critically, and your skill in articulating design rationale clearly and concisely.

• Practice presenting your thought process and design solutions under time constraints, as this is common in interview settings.

📝 Enhancement Note: This section provides actionable advice for candidates, focusing on how to best present their qualifications and prepare for the interview process, with specific emphasis on the unique requirements of a Data & AI UX role.

🛠 Tools & Technology Stack

Primary Tools:

• Design & Prototyping: Figma, FigJam, Miro, Adobe XD (or equivalent). Proficiency in these tools is essential for wireframing, prototyping, and collaborative design sessions.

• Data Visualization: Power BI is specifically mentioned, indicating a need for familiarity with creating and potentially designing reports within this platform.

• AI Tools: Microsoft Copilot, ChatGPT Enterprise, Claude, Gemini (or equivalent). Hands-on experience and understanding of how to leverage these tools for design tasks are critical.

Analytics & Reporting:

• Familiarity with data concepts, KPIs, and analytical journeys is required. Experience with data visualization platforms like Power BI is a strong asset for understanding and designing how users interact with data insights. CRM & Automation:

• While not explicitly listed, understanding how user data and AI-driven insights can inform CRM strategies or automate user interactions is beneficial. Experience with data transformation tools like dbt (mentioned in reference projects) and data platforms like Snowflake, Databricks, and BigQuery (GCP) indicates the technical environment where these designs will be implemented.

📝 Enhancement Note: The technology stack is a critical aspect for operations and design roles. This section details the specific software and platforms mentioned or implied, providing candidates with a clear picture of the tools they will use and need to be proficient in. The mention of dbt, Snowflake, Databricks, and BigQuery in the reference projects is particularly important for understanding the technical backend.

👥 Team Culture & Values

Operations Values:

• Positive Innovation: A commitment to creating impactful and sustainable technological advancements that benefit users and businesses.

• Data-Driven Decision Making: Emphasis on leveraging data and insights to inform design choices and measure success.

• User-Centricity: A core value of designing experiences that are useful, simple, engaging, and meet user needs and expectations.

• Collaboration & Teamwork: A strong emphasis on working together across disciplines and with clients to achieve shared goals.

• Continuous Learning & Improvement: Encouraging curiosity, skill development, and the adoption of new technologies and methodologies.

• Efficiency & Effectiveness: Striving to deliver high-quality solutions that are both efficient to develop and effective in achieving business objectives.

Collaboration Style:

• Multidisciplinary: Working closely with diverse teams including Data Scientists, BI Analysts, AI Specialists, and business stakeholders.

• Co-creation: Actively facilitating workshops and design sessions where all parties contribute to the solution.

• Knowledge Sharing: Contributing to the community by sharing best practices and learnings, and capitalizing on collective experience.

• Client Partnership: Engaging clients as partners in the design and implementation process, ensuring alignment and buy-in.

📝 Enhancement Note: Understanding a company's values and collaboration style is crucial for cultural fit. This section synthesizes Talan's stated values and operational practices into a clear picture relevant to a design and operations professional.

⚡ Challenges & Growth Opportunities

Challenges:

• Bridging Design and Technical Complexity: Translating complex Data and AI concepts into simple, intuitive user experiences that are also technically feasible.

• Managing Evolving AI Landscape: Keeping pace with rapid advancements in AI and generative models and integrating them effectively and ethically into design strategies.

• Cross-Functional Alignment: Ensuring seamless collaboration and communication between design, data, and business teams, each with potentially different priorities and technical languages.

• Demonstrating ROI of UX in Data/AI: Quantifying the impact of design interventions on user adoption, decision quality, and business outcomes in Data and AI projects.

• User Trust and Explainability: Designing AI-powered experiences that users trust, understand, and can control, addressing concerns around AI limitations and biases.

Learning & Development Opportunities:

• Advanced AI/Data UX Training: Access to specialized courses and certifications in emerging areas of AI, machine learning, and advanced data visualization.

• Industry Conferences & Workshops: Opportunities to attend leading UX, Data, and AI conferences to stay abreast of industry trends and network with peers.

• Mentorship & Leadership Programs: Guidance from experienced leaders within Talan and potential opportunities to mentor junior designers as you progress.

• Exposure to Diverse Projects: Working on a variety of client projects across different industries, providing broad exposure to different challenges and solutions.

• Contribution to IP/R&D: Potential to contribute to Talan's proprietary solutions, research, and innovation labs, shaping the future of Data & AI design.

📝 Enhancement Note: Identifying potential challenges and outlining growth opportunities provides a realistic yet encouraging perspective for candidates, helping them assess their fit and future trajectory within the role and company.

💡 Interview Preparation

Strategy Questions:

• "Describe a project where you designed a user experience for a complex data set or an AI-driven feature. What was the challenge, your approach, and the outcome?" (Focus on your process, data integration, and AI considerations).

• "How do you collaborate with Data Engineers, BI analysts, and business stakeholders to ensure your UX designs are both user-centric and technically feasible?" (Highlight your communication and negotiation skills).

• "Imagine you need to design a conversational AI assistant for business users to query financial performance data. What are the key considerations, potential pitfalls, and how would you approach designing the dialogue flows and user intentions?" (Demonstrate your understanding of conversational UX and AI limitations). Company & Culture Questions:

• "What interests you about Talan's focus on 'Positive Innovation' and its approach to Data & AI consulting?" (Show you've researched the company and align with its mission).

• "How do you see the role of UX Design evolving with the rise of generative AI and copilots in business environments?" (Demonstrate forward-thinking and adaptability).

• "Describe a time you had to simplify a highly technical concept for a non-technical audience. How did you approach it, and what was the result?" (Assess your ability to communicate complex ideas). Portfolio Presentation Strategy:

• Focus on Impact: For each project, clearly articulate the business problem, your specific contribution, the design decisions made (especially concerning data and AI), and the measurable results achieved.

• Show, Don't Just Tell: Use visuals effectively – wireframes, prototypes, user flows, and mockups. If possible, demonstrate interactive prototypes.

• Narrate Your Process: Explain why you made certain choices, what research informed them, and how you iterated based on feedback or testing.

• Highlight AI Integration: Explicitly discuss how you used AI tools in your workflow or designed for AI-powered features, addressing challenges and successes.

• Be Ready for Deep Dives: Anticipate questions about specific design choices, technical constraints, and user research methodologies.

📝 Enhancement Note: This section offers concrete examples of interview questions and presentation strategies, tailored to the specific demands of a Data & AI UX role within a consulting firm like Talan.

📌 Application Steps

To apply for this operations position:

• Submit your application through the provided link on jobs.smartrecruiters.com.

• Portfolio Customization: Tailor your portfolio to highlight projects showcasing your expertise in Data UX, AI UX, and conversational design. Emphasize projects where you translated complex data into actionable insights or integrated AI capabilities into user workflows.

• Resume Optimization: Ensure your resume clearly articulates your 5+ years of experience in UX/Product Design, specifically mentioning your work with Data, BI, Analytics, and AI. Use keywords from the job description, such as "Data UX," "AI UX," "Conversational UX," "Figma," "Power BI," and "Microsoft Copilot." Quantify achievements where possible.

• Interview Preparation: Practice discussing your design process, your approach to user research for data-driven products, and your experience with AI tools. Prepare to present your portfolio with a focus on clear storytelling and demonstrable impact.

• Company Research: Familiarize yourself with Talan's mission, values, and recent work in Data & AI. Understand their "Positive Innovation" approach and how your skills align with their strategic goals.

⚠️ 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.