UX Conversation Designer, Senior Associate

📍 Job Overview

Job Title: UX Conversation Designer, Senior Associate

Company: JPMorgan Chase & Co.

Location: Brooklyn, NY (1 Metrotech Ctr)

Job Type: Full time

Category: User Experience Design / Conversational AI

Date Posted: March 02, 2026

Experience Level: Mid-Senior (3-5 years implied)

Remote Status: On-site

🚀 Role Summary

• Design and develop cutting-edge conversational AI experiences, with an initial focus on enhancing the internal "Ask JPMC" help phoneline IVR system.

• Leverage expertise in Design Thinking, UX Research, and Conversational Interface Design to create intuitive, user-centric solutions that blend business needs with user insights.

• Drive strategic initiatives by integrating newer technologies like Large Language Models (LLMs) and Natural Language Understanding (NLU) into existing and future conversational platforms.

• Collaborate with cross-functional teams, including Machine Learning engineers, to train AI models and ensure design principles are embedded throughout the product development lifecycle, emphasizing inclusive and accessible design practices.

📝 Enhancement Note: The role is explicitly focused on "Employee Experience" and the "Ask JPMC" internal help phoneline, indicating a B2E (Business-to-Employee) focus within a large financial services organization. The emphasis on LLMs and updating existing IVR systems suggests a strategic initiative to modernize internal communication and support tools.

📈 Primary Responsibilities

• Design AI-powered, end-to-end use case flows for voice interfaces, with potential expansion into chat and multi-modal experiences, utilizing decision trees, audio prototypes, and logic frameworks for the "Ask JPMC" phoneline IVR system.

• Develop intuitive and user-centric solutions that drive efficiency and user engagement, while strictly aligning with overarching business objectives and internal support strategies.

• Conduct or collaborate with UX Research teams to perform usability testing, observational testing, and other research methodologies to gather critical user insights for iterative design improvements.

• Employ an iterative design mindset, actively gathering and incorporating user and agent feedback to continuously optimize the "Ask JPMC" phoneline experience and its underlying conversational logic.

• Contribute to the broader Conversational AI strategy by leveraging expertise in NLU and LLM experiences, defining how design processes evolve with LLM integration and updating product-specific Design Systems.

• Conduct data-driven analyses to inform design decisions, transforming raw information into valuable insights that guide strategic decision-making and feature development.

• Collaborate closely with cross-functional teams, including product managers, engineers, and ML specialists, to seamlessly integrate UX and Conversational Design into the product development lifecycle.

• Partner with Machine Learning (ML) teams to train LLMs by providing expertise on Conversational Design principles and industry best practices, ensuring model performance and user experience alignment.

• Facilitate ideation and alignment workshops with project stakeholders to ensure comprehensive understanding and buy-in for design directions and strategic goals.

• Present design rationale, decisions, and outcomes to business stakeholders and the wider product and technology organization through compelling storytelling and detailed documentation.

📝 Enhancement Note: While not explicitly a "Revenue Operations" or "Sales Operations" role, the responsibilities heavily involve process optimization, data analysis for decision-making, stakeholder management, and system enhancement, which are core tenets of operations functions. The focus on internal efficiency and user experience for employees directly impacts productivity and operational effectiveness.

🎓 Skills & Qualifications

Education: Specific degree requirements are not listed, but a strong portfolio in a relevant field (Design, HCI, Computer Science, Linguistics) is implied.

Experience: 3+ years of experience or equivalent expertise in User Experience Design, Conversational AI Design, or similar roles focused on voice-first products.

Required Skills:

• Proven experience in designing and optimizing IVR and chat flows, including call routing, escalation paths, and error handling for both self-service and agent-assisted scenarios.

• Demonstrated ability to develop clear, concise, and segment-tailored audio and text prompts and scripts.

• Solid understanding of audio branding, voice persona creation, and the influence of prosody, tone, and pacing on user experience.

• Experience designing across multiple platforms, including web, mobile, and other digital channels, with a strong grasp of cross-platform user journey mapping.

• Proficiency in creating inclusive designs and adhering to accessibility guidelines, incorporating diverse user perspectives and assistive technologies.

• Ability to plan, organize, and advocate for Conversation Design best practices throughout the design lifecycle.

• Capacity to manage ambiguity, work autonomously, and multitask effectively within an agile development environment.

• Skill in interpreting complex data and transforming it into actionable insights for informed decision-making and strategy development.

• Ability to develop innovative strategies and create 'north star' representations that drive customer-centric and employee-centric decision-making.

• Familiarity with the full user research and design process, including hypothesis validation, concept communication, and creating low/high fidelity prototypes for both visual and conversational interfaces.

Preferred Skills:

• Proficiency in visual UX design tools such as Figma for creating wireframes and prototypes.

• Experience working within a Design System, contributing to patterns, Conversational UI components, and refining Visual and Conversational Design Languages.

• Experience designing and deploying conversational experiences using prompt playgrounds like MindStudio or similar platforms.

• Prior experience supporting design work in employee assistant tools, Conversational AI, or AI-driven product teams.

• Experience in complex business domains or enterprise environments (e.g., financial services) working on large-scale transformation programs, including AI tool deployment.

• Ability to understand and articulate how technical constraints and opportunities (including AI/ML capabilities) influence design solutions.

• Familiarity with technology concepts and an understanding of various technical approaches and lifecycles (e.g., agile, DevOps, frontend structures, AI model deployment).

• Understanding of product lifecycles from a UX and conversational AI perspective, including how experiences evolve through different product stages.

📝 Enhancement Note: The "3+ years of experience" requirement aligns with a Senior Associate level, indicating a need for candidates who can operate independently and contribute strategically, rather than just executing tasks. The emphasis on LLM integration and Design Systems suggests a forward-looking role within a large, established enterprise.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Demonstrate a strong portfolio showcasing end-to-end conversational design projects, including detailed case studies of voice and chat interfaces.

• Highlight examples of designing for IVR systems, illustrating improvements in user flow, efficiency, and problem resolution.

• Include case studies that showcase the application of Design Thinking principles, user research findings, and iterative design processes.

• Present examples of how data analysis informed design decisions and led to measurable improvements in user engagement or operational efficiency.

Process Documentation:

• Provide documentation or case studies detailing the process of designing and optimizing complex conversational flows, including decision trees and logic frameworks.

• Illustrate the process of conducting user research (usability testing, observational testing) and how feedback was incorporated into design iterations.

• Detail workflows for collaborating with cross-functional teams (e.g., ML engineers, product managers) and stakeholders in an agile environment.

• Show examples of how technical constraints and AI/ML capabilities were considered and integrated into design solutions.

📝 Enhancement Note: For a role like this, a portfolio is crucial. It should not just display final designs but also the process behind them, emphasizing problem-solving, user-centricity, and the ability to translate complex requirements into functional conversational experiences. Demonstrating experience with LLMs and Design Systems will be a significant plus.

💵 Compensation & Benefits

Salary Range: Based on the provided AI-generated range, the estimated salary for a UX Conversation Designer, Senior Associate at JPMorgan Chase & Co. in Brooklyn, NY is between $114,000 and $165,000 USD annually. This range is typical for senior-level design roles in major financial institutions in high-cost-of-living areas like New York City.

Benefits:

• Comprehensive health care coverage.

• On-site health and wellness centers (location dependent).

• Retirement savings plan (e.g., 401(k) with company match).

• Backup childcare services.

• Tuition reimbursement for continuing education and skill development.

• Robust mental health support programs.

• Financial coaching and planning resources.

• Potential for performance-based bonuses and equity awards (for eligible roles).

Working Hours: The role is listed as full-time, implying a standard 40-hour work week. While the role is on-site, JPMorgan Chase often offers some flexibility within the standard work week, allowing for adjustments to daily start/end times as needed by the team and business requirements.

📝 Enhancement Note: The salary range provided is a strong estimate for a Senior Associate level in this field and location. JPMorgan Chase is a large employer that typically offers a competitive benefits package, aligning with industry standards for top-tier financial institutions. The emphasis on employee support benefits reflects a commitment to their internal workforce.

🎯 Team & Company Context

🏢 Company Culture

Industry: Financial Services (Banking, Investment Management, Financial Technology). JPMorgan Chase is a global leader, operating in investment banking, consumer and small business banking, commercial banking, financial transaction processing, and asset management.

Company Size: Over 10,000 employees globally (as per LinkedIn data, typically much larger for JPMC). This indicates a large, complex, and highly structured corporate environment.

Founded: 1799 (by Aaron Burr, as The Manhattan Company, which later merged into Chase National Bank). The company has a long history of innovation and adaptation within the financial sector.

Team Structure:

• The role is within the "Employee Experience team," suggesting a focus on internal tools, platforms, and services that support the workforce. This team likely works closely with HR, IT, and other corporate functions.

• The structure will involve reporting to a manager or director within the Employee Experience or a related UX/Design leadership hierarchy.

Methodology:

• A strong emphasis on data-driven decision-making, utilizing user research, A/B testing, and performance metrics to inform design and strategy.

• Adherence to Design Thinking methodologies for problem-solving and innovation, focusing on user needs and iterative development.

• Agile development practices are expected, requiring adaptability, rapid prototyping, and continuous feedback loops with development teams.

• Strategic integration of advanced technologies like LLMs and Conversational AI into enterprise solutions.

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

📝 Enhancement Note: JPMorgan Chase's scale means that even specialized roles like this are part of a larger ecosystem. Understanding the company's commitment to innovation in employee experience and its adoption of new technologies like AI is crucial. The culture is likely a blend of traditional financial services rigor and a growing emphasis on modern digital product development.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned as a "Senior Associate," typically indicating a mid-to-senior level individual contributor. It requires significant experience and the ability to work autonomously, while still being part of a larger team structure. This level often involves taking ownership of specific projects or feature sets and mentoring more junior team members.

Reporting Structure: The Senior Associate will likely report to a UX Manager, Director of Employee Experience, or a Head of Conversational Design/AI within the Corporate Functions or Technology divisions. They will collaborate extensively with peers in UX, Product Management, Engineering, and ML.

Operations Impact: While not directly tied to external revenue generation, this role has a significant impact on internal operational efficiency, employee productivity, and overall employee satisfaction. By improving the "Ask JPMC" help phoneline, the company can reduce support costs, improve resolution times, and enhance the employee experience, which indirectly contributes to business performance.

Growth Opportunities:

• Specialization: Deepen expertise in Conversational AI, LLMs, prompt engineering, and voice interface design, potentially becoming a subject matter expert within the organization.

• Leadership: Progress to a Lead Conversation Designer or UX Manager role, where they would manage a team, set design strategy, and oversee larger initiatives.

• Cross-functional Mobility: Transition into related fields like Product Management, UX Strategy, or AI Ethics, leveraging their deep understanding of user interaction and technology.

• Mentorship: Opportunities to mentor junior designers and contribute to the development of the broader UX and Conversational AI practice within JPMorgan Chase.

• Learning & Development: Access to company-sponsored training, workshops, conferences, and certifications in AI, UX, and design methodologies.

📝 Enhancement Note: For operations professionals, this role offers a chance to apply process design and optimization skills to internal enterprise systems, directly impacting employee productivity. The growth path is clearly defined towards specialized AI/UX leadership or broader product management within a large, supportive organization.

🌐 Work Environment

Office Type: The role is on-site at the Brooklyn, NY office (1 Metrotech Ctr). This suggests a traditional corporate office environment common in large financial institutions, designed for collaboration and focused work.

Office Location(s): Brooklyn, NY (1 Metrotech Ctr). This location is in a major urban hub, offering accessibility via public transportation and proximity to various amenities.

Workspace Context:

• The workspace is likely designed to foster collaboration, with meeting rooms, open spaces, and potentially dedicated areas for focused design work.

• Access to standard corporate technology infrastructure, including high-speed internet, relevant software licenses (e.g., Figma, design tools), and potentially specialized AI development platforms or sandboxes.

• Opportunities for regular interaction with design peers, product teams, and stakeholders through in-person meetings, workshops, and informal discussions.

Work Schedule: Full-time, on-site. While adhering to standard business hours (likely 40 hours/week), there may be some flexibility in daily start/end times, subject to team and business needs. The emphasis on agile methodologies suggests that project-driven work may occasionally require adjusted schedules, but this is typically balanced by flexibility.

📝 Enhancement Note: An on-site role in a major financial institution like JPMorgan Chase implies a structured work environment with a strong emphasis on professional conduct and team integration. The Brooklyn location offers the benefits of a vibrant city with good transit links.

📄 Application & Portfolio Review Process

Interview Process: A typical multi-stage process for a Senior Associate role at JPMorgan Chase would likely include:

• Initial Screening: HR or recruiter call to assess basic qualifications, interest, and cultural fit.

• Hiring Manager Interview: In-depth discussion about experience, skills, and alignment with the role's responsibilities, focusing on conversational design and LLM experience.

• Portfolio Review & Presentation: A dedicated session where the candidate presents their portfolio, showcasing 2-3 key projects. This is critical for demonstrating design process, problem-solving, and impact.

• Skills-Based Assessment/Case Study: A practical exercise, potentially involving designing a conversational flow for a given scenario, analyzing data, or solving a specific UX problem related to the "Ask JPMC" phoneline.

• Team/Cross-functional Interviews: Meetings with potential peers and stakeholders (e.g., ML engineers, product managers) to assess collaboration style and technical understanding.

• Final Interview: Often with a senior leader to confirm fit and discuss career aspirations.

Portfolio Review Tips:

• Structure: Organize your portfolio with clear case studies. For each case study, outline the problem, your role, the process (research, ideation, design, testing), the solutions, and the outcomes/impact.

• Focus on Process: Highlight your thought process, research methodologies, iterative design decisions, and how you handled challenges. For this role, emphasize your approach to conversational design, IVR optimization, and LLM integration.

• Quantify Impact: Whenever possible, use data and metrics to demonstrate the success of your designs (e.g., reduction in call times, increase in self-service rates, improved user satisfaction scores).

• Showcase LLM/AI Experience: Include projects that demonstrate your understanding of NLU, LLMs, and how you've applied them to conversational interfaces.

• Storytelling: Present your work with a narrative that engages the interviewer and clearly articulates the value you brought to each project.

Challenge Preparation:

• Understand the Context: Be prepared for scenarios related to improving internal employee support systems, designing conversational flows for specific employee needs, or analyzing user feedback for an IVR system.

• Design Thinking Framework: Apply a structured approach to problem-solving, similar to your portfolio case studies.

• Data Interpretation: Practice analyzing hypothetical data sets related to user behavior or system performance to derive actionable insights.

• LLM/AI Considerations: Be ready to discuss how you would leverage LLMs for specific tasks within the "Ask JPMC" context, or how you would approach training/validating an LLM for this purpose.

• Collaboration & Communication: Demonstrate how you would work with diverse stakeholders, articulate design rationale clearly, and manage feedback effectively.

📝 Enhancement Note: The interview process will heavily scrutinize the candidate's practical application of conversational design principles, their ability to work with AI technologies, and their fit within a large, regulated financial institution. A strong, process-oriented portfolio is paramount.

🛠 Tools & Technology Stack

Primary Tools:

• Conversational AI Design Tools: Tools for creating decision trees, logic flows, and prototypes (e.g., Voiceflow, Botmock, or proprietary internal tools).

• Visual Design & Prototyping: Figma (explicitly mentioned as preferred), Sketch, Adobe XD for wireframing, UI design, and interactive prototyping.

• Prompt Engineering/Playgrounds: MindStudio or similar platforms for designing and testing prompts for LLMs.

• Collaboration Platforms: Microsoft Teams, Slack, Jira, Confluence for team communication, project management, and documentation.

Analytics & Reporting:

• Analytics Platforms: Tools for analyzing user interaction data, conversation logs, and system performance (e.g., Google Analytics, Adobe Analytics, specialized IVR/chatbot analytics tools).

• Data Analysis Tools: Potentially Excel, Tableau, Power BI for data manipulation, visualization, and insight generation.

CRM & Automation:

• While not a direct CRM role, understanding how conversational AI interfaces integrate with internal employee support systems or HR platforms would be beneficial.

• Familiarity with workflow automation concepts relevant to employee support processes.

📝 Enhancement Note: Proficiency in Figma is a strong preference. Experience with dedicated conversational AI design tools and prompt engineering platforms will be highly valued, especially given the focus on LLMs. Understanding how to leverage analytics to drive design decisions is a core requirement.

👥 Team Culture & Values

Operations Values:

• User-Centricity: A deep commitment to understanding and serving the needs of employees, ensuring internal tools are intuitive and effective.

• Data-Driven: Reliance on data and analytics to inform all design decisions, measure success, and drive continuous improvement.

• Innovation: A drive to explore and implement cutting-edge technologies like LLMs and Conversational AI to enhance employee productivity and experience.

• Collaboration: A strong emphasis on teamwork, cross-functional partnerships, and open communication to achieve shared goals.

• Efficiency: A focus on optimizing internal processes and systems to streamline operations and reduce friction for employees.

• Inclusivity & Accessibility: Commitment to designing experiences that are accessible and equitable for all employees, regardless of background or ability.

Collaboration Style:

• Cross-functional Integration: Seamless integration with product management, engineering, ML, and research teams, fostering a shared sense of ownership.

• Iterative Feedback Loops: Openness to constructive feedback, with regular design reviews and opportunities for dialogue to refine solutions.

• Knowledge Sharing: A culture that encourages sharing best practices, learnings, and insights across design and development teams.

• Agile Mindset: Embracing flexibility, adaptability, and rapid iteration in response to evolving business needs and user feedback.

📝 Enhancement Note: JPMorgan Chase's corporate culture typically emphasizes professionalism, rigor, and a strong work ethic, combined with a growing focus on innovation and agile methodologies, particularly within technology and design teams.

⚡ Challenges & Growth Opportunities

Challenges:

• Legacy Systems Integration: Updating and integrating modern AI technologies (LLMs) with existing, potentially older IVR systems, requiring careful technical and design considerations.

• Data Privacy & Security: Navigating the stringent data privacy and security regulations inherent in a financial services institution, especially when dealing with employee data and AI models.

• AI Model Training & Validation: Ensuring LLMs are trained effectively on relevant data, adhere to ethical guidelines, and provide accurate, helpful responses for employee queries.

• Stakeholder Alignment: Managing diverse stakeholder expectations and ensuring buy-in across multiple departments with varying priorities.

• Measuring Impact: Developing robust metrics to accurately quantify the ROI and impact of conversational AI initiatives on employee productivity and satisfaction.

Learning & Development Opportunities:

• AI & LLM Specialization: Opportunities to gain deep expertise in prompt engineering, LLM fine-tuning, and the ethical considerations of AI in enterprise applications.

• Industry Conferences & Certifications: Support for attending relevant UX, Conversational AI, and AI/ML conferences to stay abreast of industry trends.

• Internal Training Programs: Access to JPMorgan Chase's extensive learning resources, including workshops on new technologies, leadership development, and design methodologies.

• Mentorship: Opportunities to be mentored by senior leaders in design, AI, or product management, and to mentor junior colleagues.

📝 Enhancement Note: The challenges are typical for large enterprises adopting new AI technologies. The growth opportunities are significant, positioning this role as a stepping stone for specialized AI/UX leadership within a major financial firm.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you designed a conversational flow that significantly improved user efficiency or reduced support costs. What was your process?" (Focus on problem definition, iterative design, and outcome measurement).

• "How would you approach designing a conversational experience for an employee who needs to reset a forgotten password, considering both voice and potential chat interfaces?" (Demonstrate understanding of user needs, flow design, error handling, and security considerations).

• "Imagine you're tasked with integrating an LLM into our 'Ask JPMC' phoneline. What are the key design considerations, potential risks, and how would you mitigate them?" (Showcase knowledge of LLM capabilities, limitations, ethical concerns, and integration strategies).

Company & Culture Questions:

• "Why are you interested in working for JPMorgan Chase, specifically within the Employee Experience team?" (Research the company's values, recent initiatives in employee support/AI, and align your interests).

• "How do you approach inclusive design and ensure accessibility in your conversational interfaces?" (Connect to the company's commitment to diversity and inclusion).

Portfolio Presentation Strategy:

• Select Relevant Projects: Choose 2-3 projects that best showcase your conversational design skills, experience with IVR/voice interfaces, LLM exposure, and ability to solve complex problems.

• Structure Your Narrative: Clearly articulate the problem, your role, the process, key design decisions, challenges overcome, and the measurable impact.

• Highlight Process Over Polish: While visuals are important, focus on demonstrating your thinking and problem-solving approach. Show the evolution of your designs.

• Demonstrate LLM/AI Understanding: If possible, include a project that touches on AI or LLMs, explaining your involvement and learnings.

• Prepare for Q&A: Anticipate questions about your design choices, technical feasibility, and how you handle feedback or disagreements.

📝 Enhancement Note: Preparation should focus on demonstrating a blend of creative design thinking, technical understanding of AI/LLMs, data-driven decision-making, and strong collaboration skills within a corporate, regulated environment.

📌 Application Steps

To apply for this UX Conversation Designer position:

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

• Portfolio Customization: Tailor your resume and portfolio to highlight your experience in conversational design, IVR systems, LLM integration, and employee experience initiatives. Select case studies that best align with the "Ask JPMC" phoneline context.

• Resume Optimization: Ensure your resume clearly articulates your years of experience, specific skills (e.g., Figma, NLU, user research), and quantifiable achievements relevant to the job description. Use keywords from the posting naturally.

• Interview Preparation: Practice articulating your design process, problem-solving approach, and the impact of your work. Prepare to discuss your experience with LLMs and how you would approach designing for an internal employee support system.

• Company Research: Familiarize yourself with JPMorgan Chase's mission, values, and recent work in AI and employee experience. Understand the financial services industry context and its implications for design and technology.

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