Principal UX Designer, AI Data Platform

📍 Job Overview

Job Title: Principal UX Designer, AI Data Platform Company: Oracle Location: United States Job Type: Full-time Category: User Experience (UX) Design / Product Design Date Posted: November 10, 2025 Experience Level: Mid-Senior Level (5-10 years implied) Remote Status: Remote OK

🚀 Role Summary

• Design and lead the user experience for Oracle's AI Data Platform (AIDP), focusing on the Developer Workbench, a unified environment for data engineers and data scientists.
• Champion human-centered design principles, ensuring customer needs and objectives are central to product strategy, workflow, and UI development.
• Collaborate closely with software development, product management, and customers to define long-term vision and deliver iterative, high-impact designs for complex enterprise data solutions.
• Contribute to and influence Oracle's global design system (Redwood) while advocating for necessary evolutions to support unique product requirements and AI agent capabilities.

📝 Enhancement Note: While the primary focus is UX Design, the role's deep involvement with data platforms, AI, and enterprise tools suggests a strong need for understanding operational workflows and efficiency, making it highly relevant to operations professionals seeking to influence tool development and user adoption. The "Principal" title implies significant ownership and strategic input.

📈 Primary Responsibilities

• Lead the end-to-end design process for the AI Data Platform's Developer Workbench, from initial concept, wireframing, and prototyping to high-fidelity visual design and scalable experience definition.
• Conduct exploratory and evaluative user research sessions, partnering with customers and subject matter experts to identify critical needs, validate design concepts, and refine workflows.
• Translate complex data engineering and data science workflows into intuitive, efficient, and elegant user interfaces and experiences, leveraging both code-based and no-code editor capabilities.
• Collaborate with Engineering and Product Management to define product strategy, identify key differentiators, and prioritize features that leverage AI and enhance customer decision-making.
• Champion and contribute to Oracle's Redwood design system, ensuring consistency across products while defining new patterns and components required for advanced AI and data platform functionalities.
• Integrate feedback from stakeholders, customers, and design peers quickly and effectively, adapting to changing business requirements and timelines without compromising design quality.
• Present design concepts, research findings, and strategic recommendations to leadership and cross-functional teams, building alignment and driving consensus.
• Mentor and collaborate with other designers within the UX team, contributing to shared design patterns, team critiques, and improvements in design operations and processes.

📝 Enhancement Note: The responsibilities emphasize a strategic approach to UX design within a complex enterprise software context. For operations professionals, understanding how design impacts tool adoption, user efficiency, and data governance is crucial. This role requires translating technical capabilities into usable interfaces that drive operational outcomes.

🎓 Skills & Qualifications

Education:

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

Experience:

• 5-10 years of professional experience in UX/Product Design, with a significant portion focused on enterprise software, complex data platforms, or AI-driven applications.
• Demonstrated track record of leading design initiatives, improving user workflows, and driving user-centered product development.

Required Skills:

• UX Design Expertise: Proven ability to design complex, scalable enterprise applications from concept to detailed specifications, including wireframing, prototyping, and high-fidelity visual design.
• AI & Data Domain Understanding: Strong aptitude for quickly learning complex domains, with a particular interest and understanding of data tools, data engineering, data science workflows, and AI applications.
• Design Systems Proficiency: Experience working with and contributing to mature design systems (e.g., Redwood, Material Design), understanding their principles and application.
• Collaboration & Communication: Excellent verbal and written communication skills, with the ability to articulate design rationale, present to leadership, and collaborate effectively with cross-functional teams (Product, Engineering, Research, Customers).
• Design Thinking & Methodology: Proficiency in design thinking, user-centered design principles, and various research and validation techniques (e.g., user interviews, usability testing).
• Process Improvement Leadership: Demonstrated experience in leading process improvements within design teams and advocating for user-centric decision-making.

Preferred Skills:

• Experience designing for data platforms, analytics tools, or AI/ML development environments.
• Familiarity with the work of data engineers, data scientists, and data administrators.
• Experience with no-code/low-code editor design patterns.
• Understanding of agent-based AI systems and their interoperability.
• Experience with customer engagement and feedback loops in an enterprise software context.

📝 Enhancement Note: The emphasis on "enterprise design" and understanding "data engineers, data admins, and data scientists" indicates a need for candidates who can grasp complex technical user needs and translate them into accessible design solutions. The "5-10 years" implied experience aligns with a Principal level role, requiring strategic input and leadership.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Case Studies Showcasing Complex Problem-Solving: Provide 2-3 detailed case studies demonstrating your ability to tackle complex enterprise software challenges, ideally involving data, AI, or platform development.
• End-to-End Design Process Documentation: Clearly articulate your design process for each case study, from initial user research and problem definition through ideation, wireframing, prototyping, visual design, and handoff to development.
• Impact and Metrics: Quantify the impact of your designs whenever possible, showcasing improvements in user efficiency, task completion rates, adoption, or other relevant operational metrics.
• Design System Contribution/Usage: Highlight instances where you've utilized or contributed to existing design systems and how you've adapted or extended them to meet specific product needs.
• Collaboration and Iteration Examples: Demonstrate how you've collaborated with cross-functional teams and incorporated feedback to iterate on designs.

Process Documentation:

• Your portfolio should implicitly demonstrate your ability to document workflows, design decisions, and rationale clearly.
• Be prepared to discuss your approach to creating scalable and maintainable design solutions that integrate with established development processes and tools.

📝 Enhancement Note: For a Principal UX Designer role, the portfolio is critical. It needs to showcase not just visual design skills but strategic thinking, problem-solving in complex domains, and the ability to drive impact through user-centered design within an enterprise context. Operations professionals often appreciate portfolios that clearly show how design led to measurable efficiency gains or improved operational outcomes.

💵 Compensation & Benefits

Salary Range:

• For a Principal UX Designer role at Oracle in the United States, with 5-10 years of experience, a typical salary range would be between $150,000 - $220,000 annually. This estimate is based on industry benchmarks for senior design roles at large enterprise software companies, considering location (United States), experience level, and the specialized nature of AI Data Platforms. Specific compensation will depend on candidate qualifications, experience, and location.

Benefits:

• Comprehensive Health, Dental, and Vision Insurance
• 401(k) Retirement Plan with Company Match
• Stock Purchase Programs (e.g., Employee Stock Purchase Plan - ESPP)
• Paid Time Off (PTO), including vacation, sick leave, and holidays
• Parental Leave
• Life and Disability Insurance
• Employee Assistance Programs
• Professional Development and Training Opportunities
• Potential for Bonuses and Performance-Based Incentives

Working Hours:

• Standard full-time hours are typically 40 hours per week.
• Flexibility may be offered to accommodate remote work, with an expectation for availability during core business hours for collaboration with global teams.

📝 Enhancement Note: The salary estimate is based on general market data for Principal UX Designers in the US tech industry, specifically large enterprise software companies like Oracle. Benefits are standard for large corporations and are generally competitive. The "Remote OK" status implies potential for flexible scheduling, though core collaboration hours are essential.

🎯 Team & Company Context

🏢 Company Culture

Industry: Enterprise Software, Cloud Computing, Artificial Intelligence, Data Management Company Size: Oracle is a large enterprise with over 130,000 employees globally. Founded: 1977. Oracle has a long-standing history in database technology and has significantly expanded into cloud services and enterprise applications.

Team Structure:

• The UX team is part of the broader AI Data Platform organization, likely comprising multiple product-focused UX designers, researchers, and writers.
• As a Principal Designer, you will likely report to a UX Director or Senior Manager of UX.
• The role involves significant cross-functional collaboration with Product Management, Software Engineering (data engineers, AI specialists), UX Researchers, and potentially customer success or sales engineering teams.

Methodology:

• Human-Centered Design: A core tenet, emphasizing deep understanding of user needs and objectives.
• Design Thinking: Employed to explore problems, ideate solutions, and iterate through prototyping and testing.
• Agile Development Integration: Designs are developed and delivered iteratively to align with software development sprints and timelines.
• Data-Driven Decisions: Leveraging user research, analytics, and customer feedback to inform design choices.
• Unified UX Vision: Working towards consistency through Oracle's Redwood design system, promoting a cohesive customer experience.

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

📝 Enhancement Note: Oracle's scale means operations professionals can expect structured processes, robust systems, and significant opportunities for impact. The culture likely balances rigorous enterprise standards with a growing emphasis on innovation in areas like AI and cloud. Understanding the company's long history in data management provides context for the AI Data Platform's strategic importance.

📈 Career & Growth Analysis

Operations Career Level: Principal UX Designer. This level signifies a senior individual contributor with deep expertise, expected to lead significant product areas, influence strategy, mentor junior designers, and drive best practices. It's a role where strategic design thinking and operational impact are paramount.

Reporting Structure: Typically reports to a Director or Senior Manager of UX within the AI Data Platform division. The role involves close collaboration with Product Managers and Engineering Leads for specific product areas.

Operations Impact: The work directly influences how data engineers and data scientists interact with Oracle's core AI Data Platform, impacting their efficiency, productivity, and ability to leverage data for business insights and AI applications. Successful UX design translates directly into faster time-to-market for customer AI initiatives, improved data governance, and enhanced operational outcomes for Oracle's clients. This role is critical for the adoption and success of the AIDP.

Growth Opportunities:

• Leadership in Design: Progress to Senior Principal Designer, Director of UX, or VP of Design roles.
• Specialization: Deepen expertise in AI/ML UX, data visualization, or platform design.
• Cross-Product Influence: Expand scope to influence UX across multiple related products within the AI Data Platform or other Oracle cloud offerings.
• Mentorship: Guide and mentor junior designers, developing leadership and team-building skills.
• Strategic Contributions: Play a key role in shaping the future vision and roadmap of Oracle's AI and data products.

📝 Enhancement Note: For operations professionals, recognizing how a Principal UX Designer role impacts tool adoption, efficiency, and overall GTM strategy for data products is key. This role offers a path to influence not just product design but also the operational success of Oracle's data and AI solutions.

🌐 Work Environment

Office Type: While the role is listed as "Remote OK," Oracle maintains significant physical office locations globally. For remote employees, the environment is home-based, requiring a dedicated workspace. On-site opportunities would be within Oracle's corporate offices, likely featuring modern, collaborative spaces designed for enterprise teams.

Office Location(s): While the posting specifies "United States," Oracle has numerous offices across the US (e.g., Austin, TX; Redwood City, CA; Burlington, MA; Reston, VA). Remote work implies flexibility in location within the US, though specific time zone alignment for collaboration might be preferred.

Workspace Context:

• Remote: Requires self-discipline, effective time management, and reliable technology. Collaboration is primarily digital via video conferencing, chat, and shared design tools.
• On-site (if applicable): Access to modern office facilities, potentially including dedicated design labs, collaboration zones, and ergonomic workspaces.
• Tools & Technology: Expect a robust digital toolkit for design, communication, and project management. The environment supports collaboration with global teams across various time zones.

Work Schedule:

• Full-time, typically 40 hours per week.
• Flexibility exists, especially for remote workers, but requires clear communication and availability during core collaboration hours to sync with team members, product managers, and engineers, who may be in different time zones.

📝 Enhancement Note: For operations roles, the "Remote OK" status is a significant factor. It implies a need for strong asynchronous communication skills and self-management. The integration with global teams means understanding different operational workflows and time zone considerations is essential.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: HR or recruiter call to assess basic qualifications, interest, and cultural fit.
• Hiring Manager Interview: Discussion with the hiring manager, focusing on experience, design philosophy, and role expectations.
• Portfolio Review & Presentation: A critical stage where candidates present their portfolio, detailing 1-2 key projects. This often includes discussing problem definition, design process, user research, solutions, iterations, and impact. Expect to discuss your role and contributions.
• Design Challenge/Whiteboarding Session: May involve a practical design exercise, either live or take-home, to assess problem-solving skills, design thinking, and ability to articulate solutions under pressure. This could focus on a specific aspect of the AI Data Platform or a related UX problem.
• Cross-Functional Interviews: Meetings with Product Managers, Engineers, and potentially other Designers to assess collaboration skills, domain understanding, and technical acumen.
• Final Round Interview: Often with senior leadership to discuss strategic thinking, leadership potential, and overall fit.

Portfolio Review Tips:

• Focus on Impact: For each case study, clearly articulate the problem, your role, the solutions you designed, and the measurable impact (e.g., improved efficiency, user satisfaction, adoption rates).
• Showcase Process: Detail your thought process, research methods, and how you iterated based on feedback. Demonstrate a structured approach to tackling complex problems.
• Tailor to the Role: Emphasize projects involving enterprise software, data platforms, AI, or complex workflows. Highlight your ability to understand technical users (engineers, scientists).
• Design System Integration: Be ready to discuss your experience with design systems and how you ensure consistency while driving innovation.
• Storytelling: Present your work as compelling narratives that highlight your problem-solving skills and user advocacy.

Challenge Preparation:

• Understand the Domain: Research Oracle's AI Data Platform, Developer Workbench, and the general landscape of data engineering and data science tools. Understand the user types (data engineers, data scientists) and their typical pain points.
• Practice Design Exercises: Work through common UX challenges related to data visualization, workflow management, complex form design, and AI interaction.
• Articulate Your Thinking: Be prepared to explain your design decisions clearly and concisely, justifying choices based on user needs, business goals, and design principles.
• Consider Constraints: Acknowledge potential technical or business constraints and discuss how you would navigate them.

📝 Enhancement Note: The portfolio review and potential design challenge are key differentiators for UX roles. Candidates should prepare to demonstrate not just design execution but strategic thinking and an understanding of the operational context of data platforms. Operations professionals can draw parallels between their own process improvement methodologies and the UX design process.

🛠 Tools & Technology Stack

Primary Tools:

• Design & Prototyping Software: Figma (highly probable), Sketch, Adobe XD, InVision, Axure RP.
• Collaboration & Communication: Slack, Microsoft Teams, Zoom, Webex.
• Project Management: Jira, Confluence, Asana, Trello.
• Design Systems: Oracle's Redwood Design System (primary reference and tool).

Analytics & Reporting:

• While not a direct tool for the designer, understanding how product analytics tools (e.g., Google Analytics, Amplitude, Pendo) are used to track user behavior and measure design impact is beneficial.
• Familiarity with data visualization concepts and tools may be advantageous for understanding the platform's outputs.

CRM & Automation:

• Oracle's own CRM solutions (e.g., Oracle CX Cloud) might be relevant for understanding customer engagement, but direct use by UX designers is less common.
• Understanding workflow automation concepts is key, as the Developer Workbench facilitates pipeline creation.

📝 Enhancement Note: Proficiency in industry-standard design tools like Figma is essential. Familiarity with Jira and Confluence is common in enterprise environments for tracking work and documenting processes. Understanding how design decisions impact user adoption and operational efficiency, which are often tracked via analytics, is crucial.

👥 Team Culture & Values

Operations Values:

• Customer-Centricity: Placing the customer's needs and success at the forefront of all design and product decisions.
• Excellence in Craft: A commitment to high-quality design, attention to detail, and polished execution in user experiences.
• Innovation & AI Focus: Embracing new technologies, particularly AI, and exploring their potential to solve complex customer problems and drive business outcomes.
• Collaboration & Inclusion: Fostering an environment where diverse perspectives are valued, and teamwork is essential for success.
• Efficiency & Scalability: Designing solutions that are not only user-friendly but also efficient to develop, scalable, and maintainable within a large enterprise context.

Collaboration Style:

• Cross-Functional Partnership: Working closely and collaboratively with Product Management, Engineering, UX Research, and other stakeholders to co-create solutions.
• Open Feedback Culture: Encouraging constructive critique through design reviews and team sessions to improve designs iteratively.
• Knowledge Sharing: Actively sharing insights, best practices, and learnings within the UX team and broader product teams.
• Data-Informed Decision Making: Using research and analytics to guide discussions and validate design hypotheses.

📝 Enhancement Note: The emphasis on "kind, curious and smart designers" suggests a collaborative and supportive team environment. For operations professionals, understanding how these values translate into daily work—such as iterative process improvements, data-driven decision-making, and cross-functional alignment—is key to assessing cultural fit.

⚡ Challenges & Growth Opportunities

Challenges:

• Complexity of Enterprise Data & AI: Designing intuitive interfaces for highly technical users dealing with vast, complex datasets and cutting-edge AI capabilities requires deep domain understanding and clear communication.
• Balancing Innovation with Consistency: Integrating novel AI features while adhering to Oracle's established Redwood design system and UX patterns presents a significant challenge.
• Global Collaboration: Working effectively with distributed teams across different time zones and cultures requires strong communication and coordination skills.
• Rapidly Evolving AI Landscape: Keeping pace with advancements in AI and translating them into practical, valuable user experiences for the platform.
• Driving Adoption: Ensuring that the powerful features of the AI Data Platform are easily discoverable and usable by target audiences to maximize value.

Learning & Development Opportunities:

• Deep Dive into AI and Data Platforms: Gain unparalleled expertise in enterprise AI, data engineering, and data science workflows.
• Mastering Design Systems: Become an expert in Oracle's Redwood design system and contribute to its evolution.
• Leadership Skills: Develop strategic thinking, mentorship, and presentation skills through a Principal-level role.
• Industry Exposure: Engage with cutting-edge AI technologies and enterprise software design challenges.
• Formal Training & Conferences: Access to Oracle's internal learning resources and potential opportunities to attend relevant industry conferences.

📝 Enhancement Note: The challenges highlight the need for adaptability, continuous learning, and strong problem-solving skills—qualities highly valued in operations roles as well. The growth opportunities emphasize specialization and leadership, pathways common in both UX and operations career tracks.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you designed a complex enterprise software solution. What was the problem, your approach, and the outcome?" (Focus on showcasing your process, problem-solving, and impact.)
• "How would you approach designing a feature for users who are data engineers and data scientists, considering their technical expertise and workflows?" (Demonstrate domain empathy and tailored design thinking.)
• "How do you balance user needs with business requirements and technical constraints in your design process?" (Highlight your strategic thinking and ability to find pragmatic solutions.)
• "With AI becoming increasingly central, how do you envision designing AI-powered features that are both powerful and trustworthy for enterprise users?" (Showcase forward-thinking and understanding of AI ethics/usability.)

Company & Culture Questions:

• "What do you know about Oracle's AI Data Platform and the Developer Workbench?" (Research the product and its strategic importance.)
• "How do you approach collaboration with product managers and engineers?" (Emphasize your partnership approach and communication skills.)
• "Describe your experience working with or contributing to design systems. What are the benefits and challenges?" (Connect to Oracle's Redwood system.)
• "How do you handle constructive criticism or disagreement on design decisions?" (Showcase maturity, openness to feedback, and collaborative problem-solving.)

Portfolio Presentation Strategy:

• Structure Each Case Study: Problem -> Your Role & Process -> Solution -> Impact/Results.
• Quantify Impact: Use metrics wherever possible to demonstrate the value of your design work (e.g., X% improvement in task completion, Y% reduction in errors, Z% increase in user satisfaction).
• Highlight Collaboration: Explicitly mention how you worked with engineers, PMs, and users.
• Showcase Iteration: Present how feedback influenced your design decisions and led to a better outcome.
• Be Concise and Engaging: Tell a story. Focus on the most critical aspects of each project. Be prepared for deep dives into specific artifacts.

📝 Enhancement Note: Preparation should focus on demonstrating strategic thinking, process maturity, and the ability to translate complex technical requirements into user-centric solutions. The emphasis on impact and collaboration is crucial for both UX and operations roles.

📌 Application Steps

To apply for this Principal UX Designer position:

• Submit your application through the Oracle Careers portal using the provided link.
• Curate Your Portfolio: Select 2-3 of your most relevant case studies that highlight enterprise software design, complex workflows, data platforms, or AI applications. Ensure each case study clearly outlines the problem, your process, your specific contributions, the solution, and measurable outcomes.
• Tailor Your Resume: Emphasize keywords related to UX Design, AI, Data Platforms, Enterprise Design, Design Systems, Prototyping, User Research, and Process Improvement. Quantify achievements where possible.
• Prepare Your Presentation: Practice presenting your portfolio, focusing on storytelling, clear articulation of your process, and demonstrating the impact of your designs. Be ready to discuss your role and decision-making.
• Research Oracle: Familiarize yourself with Oracle's AI Data Platform, the Developer Workbench, the Redwood Design System, and Oracle's broader cloud strategy. Understand their customer base and the competitive landscape.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and operations/UX industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.