UX Designer – Data Visualization & AI

📍 Job Overview

Job Title: UX Designer – Data Visualization & AI

Company: RTX

Location: Remote (US-CT-REMOTE, with flexibility for candidates in AZ, TX, VA)

Job Type: Full-time

Category: User Experience (UX) Design / Data Visualization / Artificial Intelligence

Date Posted: 2026-08-25

Experience Level: Mid-Senior Level (8+ years)

Remote Status: Fully Remote (US-based, U.S. Citizen required)

🚀 Role Summary

• Lead the design and strategic direction of next-generation data and AI experiences for a global aerospace and defense leader.

• Translate complex technical insights, AI outputs, and probabilistic data into clear, intuitive, and actionable user interfaces and visualizations.

• Drive user-centered design processes, integrating AI transparency and explainability into product design to foster confident decision-making.

• Collaborate with cross-functional teams, including product management, engineering, and business analysts, within an agile development framework.

• Shape how users engage with critical data and AI products, ensuring a cohesive and impactful user experience across the organization.

📝 Enhancement Note: This role focuses on the intersection of UX design, data visualization, and Artificial Intelligence, specifically within a large, established aerospace and defense corporation. The emphasis on "demystifying AI," "AI transparency and explainability," and designing interfaces for "AI outputs" indicates a need for a designer who can bridge technical complexity with user understanding, a critical aspect in the operations and decision-making processes of such an organization. The requirement for U.S. citizenship suggests involvement with sensitive programs or contracts.

📈 Primary Responsibilities

• Develop high-quality artifacts, including conceptual diagrams, high-fidelity wireframes, interactive prototypes, and user interfaces, focusing on data visualization and AI integration.

• Design intuitive visual representations of AI outputs such as predictions, recommendations, confidence levels, and model reasoning, ensuring clarity and trustworthiness.

• Conduct user research, including primary (in-field) and secondary research with customers and stakeholders, to create personas, journey maps, service blueprints, and task flow diagrams.

• Present design work and articulate the rationale behind visual, architectural, and interaction decisions, with a strong emphasis on AI transparency and explainability.

• Collaborate closely with product managers to define user stories, gather requirements, and contribute to project documentation within an agile software development lifecycle.

• Participate actively in design critique sessions, providing constructive feedback and incorporating feedback on designs to refine user experiences.

• Translate complex data and model information into clear visual narratives that support user decision-making and operational efficiency.

• Design user experience flows for analytical insights, generative AI (GenAI) insights, recommendations, forecasting, and chatbot interfaces.

📝 Enhancement Note: The responsibilities highlight a blend of strategic UX thinking and tactical design execution. The emphasis on "AI transparency and explainability" is a key differentiator, requiring the designer to not only make data visually appealing but also comprehensible in its AI-driven context. This is crucial for operations teams relying on AI for critical decision support.

🎓 Skills & Qualifications

Education:

• Bachelor’s degree in Design, Human-Computer Interaction (HCI), Computer Science, or a related field, or equivalent practical experience.

• An advanced degree in a related field is preferred. Experience:

• Minimum of 8 years of relevant professional experience in UX design, with a strong focus on data visualization and AI-driven interfaces.

• Minimum of 7 years of experience if holding an advanced degree.

• Demonstrated experience creating data visualization UX designs that effectively communicate complex information.

• Proven experience working within agile software development environments and collaborating closely with front-end engineering teams. Required Skills:

• Demonstrated expertise in UX design principles and methodologies.

• Strong proficiency in creating data visualization UX designs.

• Experience designing interfaces that communicate AI behavior, outputs, or probabilistic insights in trustworthy and intuitive ways.

• Ability to translate complex data and model information into clear visual narratives.

• Experience working in agile development environments and partnering with engineering teams.

• U.S. citizenship is required due to program/contract access restrictions. Preferred Skills:

• Experience with digital design tools such as Sketch, Adobe XD, Figma, or similar.

• Fluency with prototyping tools like InVision, Figma, Principle, or Framer.

• Experience using and working with component-based design systems (e.g., Material UI).

• General familiarity with the technology underpinnings of interfaces, including presentation layer code (JavaScript/CSS/HTML, React).

• Ability to identify, articulate, and leverage common design patterns and explain their suitability.

• Experience creating user experience flows for Analytical and GenAI insights, recommendations, forecasting, and chatbots.

• Extensive experience applying and leading user-centered design processes.

• Experience designing, participating in, and leveraging user research activities.

• Deep systems thinking skills and fluency with conceptual considerations like modularity, data hierarchy, inheritance, and flow.

• Ability to lead and educate novice users and customers on complex topics.

• Effective collaboration skills with cross-functional teams, both in-person and remotely.

📝 Enhancement Note: The experience requirement of 8+ years, coupled with the emphasis on AI and complex data visualization, positions this as a senior-level UX role. The preference for specific tools like Figma and Material UI, along with experience in AI-specific UX challenges, indicates the desired technical and domain expertise. U.S. citizenship is a non-negotiable requirement, impacting the candidate pool significantly.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Showcase a minimum of 3-5 significant projects demonstrating expertise in UX design, data visualization, and AI-driven interfaces.

• Projects should clearly articulate the problem statement, user needs, design process, and the resulting solution's impact.

• Highlight specific examples of how complex data and AI outputs were translated into clear, actionable visualizations and user experiences.

• Include case studies that detail user research methodologies employed and how insights informed design decisions.

• Demonstrate proficiency in creating wireframes, prototypes, and high-fidelity UI designs for complex systems. Process Documentation:

• Provide examples of user journey maps, service blueprints, or application maps that illustrate a deep understanding of user workflows and system interactions.

• Showcase how you've integrated AI transparency and explainability into your design process.

• Include documentation of collaboration with engineering and product teams, illustrating your role within an agile framework.

• Demonstrate experience with user research documentation and how findings were synthesized to drive design improvements.

📝 Enhancement Note: For a role of this seniority, a robust portfolio is critical. It needs to go beyond aesthetics and demonstrate a strategic approach to problem-solving, particularly in the complex domains of data visualization and AI. The emphasis on process and collaboration within an agile environment is key for operations roles.

💵 Compensation & Benefits

Salary Range: $132,400 - $251,600 USD per year

Benefits:

• Comprehensive medical, dental, and vision insurance.

• Life insurance coverage.

• Short-term and long-term disability insurance.

• 401(k) plan with company match.

• Flexible Spending Accounts (FSAs) for healthcare and dependent care.

• Flexible work schedules to support work-life balance.

• Employee Assistance Program (EAP) for confidential support.

• Employee Scholar Program for educational development.

• Paid parental leave.

• Generous paid time off (PTO) and holidays. Working Hours:

• Standard full-time, approximately 40 hours per week.

• Flexibility may be available, aligning with agile team cadences and project needs.

📝 Enhancement Note: The salary range is competitive for a senior UX Designer role with specialized skills in data visualization and AI, especially within a large defense contractor. The benefits package is extensive and typical for a major corporation, offering comprehensive support for employees and their families. The mention of potential incentive compensation programs indicates performance-based bonuses may also be available.

🎯 Team & Company Context

🏢 Company Culture

Industry: Aerospace & Defense

Company Size: Large Enterprise (185,000+ employees globally)

Founded: Raytheon's heritage dates back over 100 years, with RTX being a more recent formation through mergers.

Team Structure:

• The role reports to the Director of Product Management within the Data, Analytics, and AI team at Raytheon DT.

• This team likely consists of product managers, data scientists, AI engineers, software engineers, and other UX designers.

• Close collaboration is expected with front-end and back-end software engineers, QA, and project managers. Methodology:

• Operates within an agile software development environment, requiring iterative design and development cycles.

• Emphasizes user-centered design, data-driven decision-making, and continuous improvement.

• Focuses on translating complex technical capabilities into user-friendly experiences that drive operational effectiveness.

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

📝 Enhancement Note: RTX is a major player in the aerospace and defense sector, implying a culture that values innovation, security, precision, and long-term project lifecycles. The "185,000 great minds" slogan suggests a focus on talent and collective problem-solving. The "Data, Analytics, and AI" team within Raytheon DT indicates a strategic investment in advanced technologies to support mission-critical operations.

📈 Career & Growth Analysis

Operations Career Level: Senior Individual Contributor / Lead Designer. This role is pivotal in shaping how critical operational data and AI insights are consumed and acted upon, directly influencing decision-making at potentially mission-critical levels.

Reporting Structure: Reports to the Director of Product Management, indicating a strategic and influential position within the product development hierarchy, with potential for exposure to senior leadership.

Operations Impact: The successful candidate will have a significant impact by making complex AI and data outputs accessible and actionable for various operational stakeholders, thereby improving efficiency, accuracy, and strategic decision-making across the organization. This role is key to operationalizing AI and advanced analytics.

Growth Opportunities:

• Specialization: Deepen expertise in AI/GenAI UX, advanced data visualization techniques, and human-AI interaction design.

• Leadership: Potential to lead design initiatives, mentor junior designers, and influence product strategy within the Data, Analytics, and AI team.

• Cross-functional Exposure: Gain deep understanding of aerospace and defense operations, engineering processes, and AI/ML development lifecycles.

• Skill Expansion: Opportunity to work with cutting-edge technologies and contribute to groundbreaking projects in a critical industry.

📝 Enhancement Note: This is a strategic role with significant growth potential. The ability to translate complex technical concepts into user-friendly operational tools is highly valued and can lead to leadership opportunities within specialized product teams or design organizations.

🌐 Work Environment

Office Type: Fully Remote, U.S.-based. While the role is remote, the company notes that candidates may be asked to attend select interview steps in-person, regardless of the role's designation.

Office Location(s): The primary listed location is US-CT-REMOTE, but the role is open to candidates residing and working from any of the 50 U.S. states (excluding U.S. territories). RTX has significant operations in Connecticut, Arizona, Texas, and Virginia.

Workspace Context:

• A fully remote setup requires strong self-discipline, communication, and time management skills.

• Collaboration will primarily occur through digital tools (e.g., video conferencing, Slack, project management software).

• Access to company-provided or approved design and development tools is expected.

• The environment demands proactive engagement with remote teams to foster a sense of connection and shared purpose.

Work Schedule: Standard full-time hours (approx. 40/week), with potential for flexibility. Remote work allows for greater autonomy in managing one's schedule, provided project deadlines and team collaboration needs are met.

📝 Enhancement Note: The remote nature of the role necessitates strong independent work habits and excellent digital communication skills. The mention of potential in-person interview steps is important for candidates to note.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: Review of resume and portfolio to assess relevant experience and skills, particularly in data visualization and AI UX.

• Hiring Manager Interview: Discussion focused on experience, design philosophy, approach to complex problems, and fit with the Data, Analytics, and AI team.

• Design Exercise/Portfolio Review: A practical design challenge or in-depth review of portfolio projects, focusing on problem-solving, process, and outcomes related to data visualization and AI. Expect to articulate design decisions and rationale, especially concerning AI transparency.

• Cross-functional Team Interviews: Meetings with product managers, engineers, and potentially other designers to assess collaboration skills, technical understanding, and ability to work within an agile framework.

• Final Interview: May involve senior leadership to discuss strategic impact, career aspirations, and cultural alignment.

Portfolio Review Tips:

• Curate Strategically: Select 3-5 projects that best showcase your expertise in data visualization, AI interfaces, and complex problem-solving. Prioritize projects with demonstrable impact.

• Tell a Story: For each project, clearly articulate the business problem, user needs, your specific role and contributions, the design process (including research and iteration), key design decisions, and the measurable outcomes or impact.

• Highlight AI & Data Viz: Explicitly detail your approach to visualizing complex data and designing interfaces for AI outputs, emphasizing how you ensured clarity, trust, and actionability.

• Showcase Process: Include wireframes, prototypes, user flows, and research artifacts to illustrate your design methodology.

• Be Ready to Defend: Prepare to discuss your design choices, trade-offs made, and how you incorporated feedback.

Challenge Preparation:

• Understand the Domain: Familiarize yourself with common challenges in data visualization for operational intelligence and the UX considerations for AI/ML explainability.

• Practice Articulation: Be ready to clearly and concisely explain your design process, rationale, and the business value of your solutions.

• Focus on Collaboration: Prepare examples of how you've successfully collaborated with engineers, product managers, and stakeholders.

• Systems Thinking: Be ready to discuss how you approach designing for complex systems and interconnected data points.

📝 Enhancement Note: The interview process will likely be rigorous, focusing heavily on practical design skills, problem-solving abilities, and the capacity to handle complex, data-intensive, and AI-driven design challenges. A strong, well-documented portfolio is paramount.

🛠 Tools & Technology Stack

Primary Tools:

• Design & Prototyping: Figma, Sketch, Adobe XD, InVision, Principle, Framer. Proficiency in at least one advanced tool is expected.

• Design Systems: Experience with component-based systems like Material UI.

• Collaboration: Tools such as Slack, Microsoft Teams, Jira, Confluence.

Analytics & Reporting:

• While not a direct analytics role, familiarity with how data is structured and presented in analytics dashboards is beneficial. Understanding of reporting tools and visualization libraries (e.g., D3.js concepts, Tableau, Power BI) is a plus. CRM & Automation:

• Not directly specified, but experience designing for platforms that integrate with CRMs or leverage automation workflows would be advantageous, especially in understanding data flow and user interactions within business processes.

📝 Enhancement Note: Proficiency with industry-standard UX design and prototyping tools is a baseline requirement. Specific experience with design systems and the ability to articulate an understanding of underlying technologies (like React, JavaScript) will be highly valued.

👥 Team Culture & Values

Operations Values:

• Safety: Paramount in the aerospace and defense industry, influencing design decisions for reliability and risk mitigation.

• Trust: Essential for AI and data products; designs must foster user confidence and transparency.

• Respect: Valued in collaboration and user research, ensuring diverse perspectives are considered.

• Accountability: Taking ownership of design solutions and their impact on operational outcomes.

• Collaboration: Integral to working within cross-functional agile teams and across different RTX business units.

• Innovation: Driving forward new solutions for complex challenges in data and AI interaction.

Collaboration Style:

• Highly collaborative, working closely with product managers, engineers, data scientists, and other designers.

• Emphasis on agile methodologies, requiring iterative feedback loops and adaptability.

• Open communication and proactive engagement are key for remote team success.

• A culture of sharing knowledge and best practices, particularly around complex design challenges.

📝 Enhancement Note: The company values reflect the demanding nature of the aerospace and defense industry, emphasizing reliability, integrity, and forward-thinking solutions. This influences how design decisions are made and how teams operate.

⚡ Challenges & Growth Opportunities

Challenges:

• Complexity of AI: Designing for AI transparency and explainability in a way that is understandable to a broad user base, including those less familiar with AI concepts.

• Data Volume & Variety: Visualizing massive and diverse datasets to extract meaningful operational insights.

• Cross-functional Alignment: Ensuring design consistency and user focus across multiple engineering teams and product roadmaps within a large organization.

• Remote Collaboration: Maintaining strong team cohesion, communication, and design quality in a fully remote environment.

• Security Requirements: Navigating the stringent security protocols and U.S. citizenship requirements inherent in defense contracting.

Learning & Development Opportunities:

• Deep Dive into AI/ML UX: Become a subject matter expert in the unique challenges and best practices of designing for artificial intelligence.

• Advanced Data Visualization: Master techniques for representing complex, multi-dimensional data in intuitive ways.

• Industry Insights: Gain deep knowledge of operational challenges and technological advancements within the aerospace and defense sector.

• Leadership Development: Opportunities to lead design initiatives and mentor junior team members.

• Formal Training & Conferences: Access to industry events, training programs, and potential certifications relevant to UX, data visualization, and AI.

📝 Enhancement Note: The challenges presented are significant but offer substantial opportunities for professional growth and impact, particularly for a designer passionate about cutting-edge technology and its application in critical industries.

💡 Interview Preparation

Strategy Questions:

• Operations Strategy: "Describe a time you designed a data visualization or AI interface for a complex operational process. What were the key challenges, your design process, and the resulting impact on decision-making or efficiency?" (Focus on articulating process, problem-solving, and outcomes).

• Collaboration & Stakeholder Management: "How do you approach collaborating with engineers and product managers in an agile environment, especially when advocating for user-centered design decisions related to complex technical features like AI explainability?" (Prepare examples of influence and partnership).

• Problem-Solving: "Imagine you need to design an interface to help an operator understand the confidence level and reasoning behind an AI's prediction for a critical system failure. Walk us through your thought process and initial design considerations." (Demonstrate systems thinking and user empathy).

Company & Culture Questions:

• Company Operations Culture: "Based on your understanding of RTX and the aerospace/defense industry, what do you believe are the most critical UX considerations for designing AI and data visualization tools that support operational teams?" (Show research and understanding of industry context).

• Operations Team Dynamics: "How do you contribute to a positive and productive remote team environment, and how would you integrate with a cross-functional team focused on data and AI product development?" (Highlight communication and collaboration skills).

• Operations Impact Measurement: "How would you measure the success of a new data visualization or AI interface you designed? What metrics would you track to demonstrate its value to operational stakeholders?" (Focus on quantifiable results and ROI).

Portfolio Presentation Strategy:

• Structure for Impact: Organize your presentation logically: Introduction (problem/goal), Your Role, Process (research, ideation, iteration), Solution (key screens/interactions), and Outcomes (metrics, lessons learned).

• Focus on AI/Data Viz: For relevant projects, dedicate time to explaining your specific approach to visualizing complex data and communicating AI outputs. Clearly articulate the "why" behind your design choices.

• Demonstrate Process: Use wireframes, user flows, and research artifacts to show your design thinking. Explain how user feedback and technical constraints informed your decisions.

• Highlight Collaboration: Mention how you worked with engineers, product managers, and other stakeholders throughout the project lifecycle.

• Quantify Results: Whenever possible, present data or metrics that demonstrate the positive impact of your design solutions on user efficiency, accuracy, or decision-making.

📝 Enhancement Note: Interview preparation should focus on demonstrating not just design skill, but also strategic thinking, problem-solving capabilities within complex domains, and effective collaboration, all crucial for operations-focused roles.

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📌 Application Steps

To apply for this operations position:

• Submit your application through the provided application link on the RTX careers portal.

• Portfolio Customization: Tailor your resume and portfolio to prominently feature your experience in data visualization, AI/GenAI UX, and designing for complex operational systems. Select projects that best showcase your ability to translate technical data into actionable insights.

• Resume Optimization: Ensure your resume clearly highlights keywords related to UX design, data visualization, AI, agile methodologies, and any relevant tools (Figma, Sketch, Adobe XD). Quantify achievements wherever possible with specific metrics.

• Interview Preparation: Practice articulating your design process, rationale, and project outcomes, focusing on examples relevant to AI and data visualization. Prepare to discuss how you ensure transparency and trustworthiness in AI-driven interfaces.

• Company Research: Thoroughly research RTX, its mission, its role in the aerospace and defense industry, and its stated values. Understand the implications of working for a large, secure organization, especially regarding U.S. citizenship requirements.

⚠️ 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.