Senior UX Designer - Temporary

📍 Job Overview

Job Title: Senior UX Designer - Temporary
Company: Gravie
Location: Minneapolis, MN
Job Type: Temporary
Category: User Experience (UX) Design / Operations Technology
Date Posted: October 21, 2025
Experience Level: 5-10 Years
Remote Status: Remote OK

🚀 Role Summary

• Lead the end-to-end design and strategy for complex, data-heavy features, focusing on transforming enterprise systems and intricate data into clear, actionable, and visually appealing user interfaces.
• Specialize in Visual Design and Data Visualization, ensuring users can quickly understand, trust, and act upon operational, financial, and enrollment data, directly contributing to the company's mission of improving healthcare access.
• Develop and maintain a reusable data visualization component library within the Figma design system, ensuring consistency and efficiency across all reporting and dashboard designs.
• Define and measure success metrics (UX KPIs) such as time-to-insight and reduced support requests related to data clarity, demonstrating the impact of design decisions on user understanding and operational efficiency.

📝 Enhancement Note: While the core role is UX Design, the emphasis on complex data visualization, operational reports, financial data, and enterprise systems places this role firmly within the intersection of UX and Operations Technology. The ability to translate complex data into actionable insights is critical for operational efficiency and decision-making, making this a valuable role for candidates with a strong operations-adjacent skillset.

📈 Primary Responsibilities

• Spearhead the complete design lifecycle for data-intensive features, including administrative dashboards, operational reports, and sophisticated data visualization components such as charts, graphs, and interactive tables.
• Translate intricate financial and operational data requirements (e.g., Health Reimbursement Arrangement (HRA) spending, enrollment statuses) into intuitive and concise visual representations that effectively guide user action and decision-making.
• Foster close collaboration with engineering and data science teams to thoroughly understand technical constraints, ensure design viability, and guarantee the accuracy and integrity of all reporting and data visualization designs.
• Architect, develop, and meticulously maintain a comprehensive library of reusable data visualization components within the Figma design system, promoting design consistency and scalability across the platform.
• Proactively identify, define, and implement UX Key Performance Indicators (KPIs) specifically related to data comprehension, such as time-to-insight, error reduction, and task completion rates, and rigorously measure these metrics post-launch.
• Design user interfaces and data visualizations that strictly adhere to accessibility standards, with a particular focus on ensuring optimal color contrast and screen reader compatibility for data tables and charts, catering to diverse user needs.
• Conduct consistent and structured design reviews with internal stakeholders at defined intervals, ensuring alignment, gathering feedback, and guaranteeing the accuracy and clarity of all reporting outputs.

📝 Enhancement Note: The responsibilities highlight a deep dive into operational data and its presentation. The emphasis on translating "complex financial and operational data requirements" into "clear, concise visual representations that guide user action" is a core function within operations technology and business intelligence roles. Defining and measuring "UX KPIs for data comprehension" further solidifies this connection, as operations teams constantly seek to improve data-driven decision-making.

🎓 Skills & Qualifications

Education: While no specific degree is mandated, a Bachelor's or Master's degree in Human-Computer Interaction (HCI), Graphic Design, Computer Science, or a related field is often beneficial for foundational understanding. Equivalent practical experience will be considered.
Experience: A minimum of 5 years of progressive experience in User Experience (UX) design, with a proven track record of successfully designing and delivering complex data visualization solutions, analytics dashboards, and reporting tools. Demonstrable experience in improving operational efficiency through design is highly valued.

Required Skills:

• Extensive 5+ years of dedicated UX design experience, evidenced by a robust portfolio showcasing impactful work in data visualization, analytics dashboards, and complex reporting interfaces.
• Expert-level understanding of information design principles specifically tailored for large-scale data presentation, coupled with the ability to judiciously select the most appropriate chart type for any given dataset and user objective.
• Proven ability to define and establish relevant UX KPIs for data comprehension (e.g., reduced time-to-task completion, decreased error rates) and to accurately measure and validate these metrics post-implementation.
• High proficiency with industry-standard design tools, particularly Figma, with substantial experience in contributing to or leading the development of a UI design system that includes specialized data visualization components.
• Practical experience in a domain where critical data interpretation is paramount, such as Fintech, B2B SaaS platforms, or healthcare reporting environments, demonstrating an understanding of operational data challenges.

Preferred Skills:

• Prior experience collaborating closely with data science teams or designing interactive data filtering and query builder functionalities.
• Familiarity with advanced visual design principles specifically applied to data-dense interfaces to enhance clarity and reduce cognitive load.
• Direct experience within the healthcare or financial services industries, providing domain-specific context for complex data challenges.

📝 Enhancement Note: The required experience level and specific skills like "data visualization," "analytics dashboards," and "reporting tools" point towards a role that requires a deep understanding of how users interact with operational data. The "preferred skills" further emphasize the operational context, such as experience with "data science teams" and the "healthcare or financial services" sectors, which are heavily data-driven.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• A comprehensive portfolio demonstrating end-to-end UX design processes for complex data-driven applications, with a strong focus on translating intricate datasets into user-friendly interfaces.
• Case studies that clearly articulate the problem, design process, user research methodologies, and the final solution, with particular emphasis on data visualization and dashboard design.
• Evidence of designing for operational efficiency and data clarity, showcasing how your designs enabled users to gain insights faster or make better-informed decisions.
• Examples of interactive dashboards, reports, or data visualization components that highlight your ability to choose appropriate chart types and present data effectively.
• Demonstrations of your proficiency with design systems, particularly Figma, and how you've contributed to or utilized component libraries, especially for data elements.

Process Documentation:

• Detailed documentation of your design process, including user research, information architecture, wireframing, prototyping, and usability testing for data-heavy applications.
• Clear explanation of how you approached defining and measuring UX KPIs for data comprehension and operational impact.
• Examples of how you collaborated with technical teams (engineering, data science) to ensure the feasibility and accuracy of your designs for complex data systems.
• Showcasing your understanding of accessibility standards and how you applied them to data visualizations and reporting interfaces.

📝 Enhancement Note: For UX roles focused on operational data, a portfolio must go beyond standard UI/UX case studies. It needs to demonstrate an understanding of "information design principles for large-scale data presentation" and how to translate "complex financial and operational data requirements" into tangible design solutions. Highlighting metrics like "time-to-insight" is crucial as it directly relates to operational efficiency gains.

💵 Compensation & Benefits

Salary Range: The provided range for this temporary role is $80 to $140 per hour, based on experience.

Benefits: As this is a temporary position, benefits may vary. Typically, temporary roles may include access to:

• Professional development opportunities relevant to UX design and data visualization.
• Potential for contract extension based on performance and business needs, offering continued engagement.
• Exposure to innovative healthcare technology solutions and a mission-driven company culture.
• A collaborative and inclusive work environment that values authenticity.

Working Hours: Standard full-time working hours are anticipated, likely around 40 hours per week. Flexibility may be available, but consistent availability for collaboration with cross-functional teams and stakeholder reviews will be expected.

📝 Enhancement Note: The salary range of $80-$140/hour for a Senior UX Designer, especially for a temporary role, indicates a high demand for specialized skills in data visualization and complex interface design within the Minneapolis area and the tech/healthcare sector. This aligns with competitive rates for senior-level operational technology and design consultants.

🎯 Team & Company Context

🏢 Company Culture

Industry: Gravie operates within the Health Technology (HealthTech) and Benefits Administration sectors, focusing on innovative, consumer-centric health benefit solutions. This industry is characterized by rapid technological advancement, complex regulatory environments, and a strong emphasis on user experience to drive adoption.
Company Size: Gravie's size is not explicitly stated in the provided data, but their mission-driven approach and focus on innovative products suggest a dynamic, potentially growing organization. For operations professionals, this can mean agility, direct impact, and opportunities to shape processes.
Founded: Information on Gravie's founding date is not provided, but their focus on "industry-changing products and services" implies a company that is forward-thinking and likely established enough to offer complex solutions.

Team Structure:

• The UX team is likely integrated within product development, working closely with product managers, engineers, and data scientists.
• This Senior UX Designer will be a key specialist, likely reporting to a Design Lead or Head of Product, focusing on enterprise-level reporting and data visualization tools.
• Cross-functional collaboration is essential, particularly with engineering and data science, to ensure the accuracy and technical feasibility of complex data designs.

Methodology:

• Gravie emphasizes a "consumer-centric" approach, suggesting a strong focus on user needs and feedback in their product development.
• The role requires an "Outcome-Driven Meaning," implying a focus on measurable results and the impact of their solutions on users' healthcare access and purchasing decisions.
• Design processes likely involve iterative development, usability testing, and data analysis to inform design improvements.

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

📝 Enhancement Note: Gravie's mission to improve healthcare purchasing and access through innovative solutions suggests a company culture that values technological advancement, user advocacy, and operational excellence. For a UX designer focused on operational data, this means contributing directly to the efficiency and clarity of internal systems that support these user-centric goals.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned at a Senior level, indicating a need for significant autonomy, strategic input, and the ability to lead design initiatives independently. It's a specialist role focused on a critical area of operations technology: data visualization and reporting.
Reporting Structure: The Senior UX Designer will likely report to a Design Manager or Director of Product, working collaboratively with Product Managers, Engineers, and Data Scientists. This structure allows for direct influence on product strategy and execution within their domain.
Operations Impact: The impact of this role is significant, as effective data visualization and reporting directly influence operational efficiency, strategic decision-making, and the ability to identify trends and opportunities within healthcare data. Improved clarity in these systems can lead to faster problem-solving, reduced errors, and better resource allocation.

Growth Opportunities:

• Skill Specialization: Deepen expertise in advanced data visualization techniques, information architecture for complex data, and design systems for enterprise applications.
• Cross-Functional Leadership: Gain experience leading design strategy for critical operational tools, influencing product roadmaps, and mentoring junior designers.
• Industry Exposure: Develop specialized knowledge in HealthTech and benefits administration, a rapidly evolving and impactful sector.
• Potential for Extension: Successful performance in this temporary role could lead to contract extensions or potentially full-time opportunities, depending on business needs and individual performance.

📝 Enhancement Note: This Senior UX Designer role offers a unique opportunity to specialize in a high-demand area of operations technology. The ability to translate complex operational data into actionable insights is a transferable skill highly valued across many industries, providing a strong foundation for future career growth in product design, operations, or analytics leadership.

🌐 Work Environment

Office Type: The job posting indicates "Remote OK," suggesting a hybrid or fully remote work arrangement is possible. When on-site or in a hybrid model, Gravie likely offers a modern office environment conducive to collaboration.
Office Location(s): The primary location listed is Minneapolis, MN. Gravie may have a central office there, with remote employees collaborating virtually.

Workspace Context:

• Employees are encouraged to be their "authentic self," indicating an inclusive and supportive work environment that values individual contributions.
• The focus on "innovative, consumer-centric health benefit solutions" suggests a forward-thinking and dynamic workplace where design plays a crucial role.
• Collaboration is key, especially with engineering and data science teams, implying a work environment that fosters teamwork and open communication.

Work Schedule: A standard 40-hour work week is typical for this type of role, but flexibility may be offered. The need to collaborate with teams and present designs at scheduled intervals will require consistent availability during core business hours.

📝 Enhancement Note: The "Remote OK" status is a significant factor for operations professionals who often value flexibility. This suggests Gravie is adaptable in its work arrangements, a common trait in modern tech companies aiming to attract top talent across geographical boundaries.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A brief call with a recruiter to assess basic qualifications, experience, and cultural fit.
• Portfolio Review & Design Challenge: A more in-depth session where candidates present their portfolio, focusing on data visualization and complex data design case studies. This may be followed by a design exercise or challenge, simulating a real-world problem Gravie faces.
• Stakeholder Interviews: Interviews with key team members, including product managers, engineers, and potentially other designers, to evaluate collaboration skills and technical understanding.
• Final Interview: A concluding discussion, potentially with a senior leader, to assess strategic thinking, alignment with company values, and overall fit for the temporary role.

Portfolio Review Tips:

• Highlight Data Visualization: Ensure your portfolio prominently features projects involving dashboards, reports, and complex data interpretation. Detail the specific data challenges you addressed and the user needs you met.
• Showcase Figma Proficiency: Include examples of your work in Figma, especially any contributions to or ownership of design systems, and specifically any data component libraries.
• Quantify Impact: For each project, articulate the measurable impact of your design. Use UX KPIs, such as "reduced time-to-insight by X%" or "decreased user errors by Y%," to demonstrate your contribution to operational efficiency.
• Explain Your Process: Clearly outline your design process for each case study, emphasizing how you translated complex data requirements into user-friendly solutions and collaborated with technical teams.
• Focus on Accessibility: If you have examples of designing accessible data visualizations or reports, be sure to highlight them, as this is a specific requirement for the role.

Challenge Preparation:

• Anticipate Data Problems: Be prepared for design challenges that involve interpreting and visualizing complex, potentially messy, operational or financial data.
• Think About Metrics: Consider how you would measure the success of your proposed design solutions, focusing on metrics relevant to data comprehension and operational efficiency.
• Practice Articulation: Rehearse explaining your design decisions clearly and concisely, especially how your solutions address specific user needs and business objectives related to data insights.

📝 Enhancement Note: The emphasis on a portfolio showcasing "data visualization, analytics dashboards, and complex reporting tools" is critical. Candidates should curate their portfolio to specifically address these requirements, demonstrating their ability to handle operational data challenges. The mention of "UX KPIs such as time-to-insight" suggests interviewers will be looking for evidence of measurable impact on operational efficiency.

🛠 Tools & Technology Stack

Primary Tools:

• Figma: Essential for UI design, prototyping, and maintaining the design system. Proficiency in creating and managing reusable components, including those for data visualization, is expected.
• Design System Tools: Experience with tools and methodologies for building and maintaining UI design systems, with a specific focus on data visualization components.

Analytics & Reporting:

• While the role is design-focused, familiarity with how data is analyzed and reported through tools like Tableau, Power BI, or custom analytics platforms would be beneficial for understanding user needs and data constraints.
• Understanding of UX KPIs and how they are tracked and measured.

CRM & Automation:

• Not directly specified, but an understanding of how enterprise systems and data flow within CRM or operational platforms can provide valuable context for designing effective reporting dashboards.

📝 Enhancement Note: Figma is explicitly mentioned as a required tool. For a role focused on complex data visualization, candidates should be prepared to discuss their experience with Figma's advanced features, including component libraries, auto-layout, and prototyping capabilities for interactive data elements.

👥 Team Culture & Values

Operations Values:

• Outcome-Driven: A strong focus on delivering tangible results and measurable impact, particularly in how users interact with and understand complex data.
• Consumer-Centric: Prioritizing the user experience and ensuring that solutions are intuitive, accessible, and valuable for those who need to access and act upon healthcare data.
• Innovation: A commitment to developing "industry-changing products and services" that improve healthcare access and purchasing.
• Authenticity: Encouraging employees to be themselves, fostering an environment of diversity, inclusion, and genuine contribution.
• Collaboration: Working closely with cross-functional teams to achieve shared goals and deliver integrated solutions.

Collaboration Style:

• Cross-Functional Integration: The role demands close collaboration with engineering and data science teams to translate complex data into viable and accurate designs.
• Stakeholder Engagement: Regular communication and design reviews with internal stakeholders are essential to ensure reporting accuracy and alignment.
• Iterative Design: A culture that likely embraces feedback loops and iterative improvements based on user testing and data analysis.

📝 Enhancement Note: The company values of "Outcome-Driven," "Consumer-Centric," and "Innovation" are directly applicable to operations roles. For a UX designer, this means designing solutions that not only look good but also drive measurable improvements in user understanding and operational efficiency within the healthcare benefits space.

⚡ Challenges & Growth Opportunities

Challenges:

• Complexity of Data: Translating highly complex, often abstract, financial and operational data into clear, actionable user interfaces requires sophisticated information design skills.
• Balancing User Needs and Technical Constraints: Ensuring designs are both user-friendly and technically feasible, especially when working with intricate data structures and enterprise systems.
• Defining and Measuring Data UX: Establishing meaningful UX KPIs for data comprehension and demonstrating their impact can be challenging, requiring a robust understanding of both design metrics and business outcomes.
• Accessibility for Data: Ensuring that complex charts, graphs, and tables are fully accessible to users with disabilities, including screen reader compatibility and sufficient color contrast.

Learning & Development Opportunities:

• Advanced Data Visualization: Opportunity to explore and implement cutting-edge data visualization techniques.
• Domain Expertise: Deepen knowledge in the HealthTech and benefits administration industry, a sector with significant societal impact.
• Design System Contribution: Enhance skills in developing and maintaining scalable design systems for complex enterprise applications.
• Cross-Disciplinary Learning: Gain deeper insights into data science methodologies and engineering best practices through close collaboration.

📝 Enhancement Note: The primary challenge lies in bridging the gap between raw operational data and user comprehension. Successfully navigating this challenge requires strong analytical thinking, a deep understanding of information hierarchy, and a commitment to iterative design and data validation, all of which are core competencies in operations and business intelligence roles.

💡 Interview Preparation

Strategy Questions:

• Be prepared to discuss how you would approach designing an administrative dashboard for tracking employee enrollment statuses and HRA spending, focusing on key metrics and user actions.
• How do you determine the most effective chart type for visualizing complex financial trends or operational performance data? Provide examples from your portfolio.
• Describe a time you had to translate highly technical or data-intensive requirements into a user-friendly interface. What was your process, and what were the outcomes?
• How would you measure the success of a new data visualization feature you designed? What UX KPIs would you prioritize, and how would you track them?

Company & Culture Questions:

• Why are you interested in Gravie's mission and the HealthTech industry?
• How do you approach working with engineering and data science teams to ensure design feasibility and accuracy?
• Describe your experience with accessibility standards, particularly concerning data visualization.
• How do you ensure your designs are "consumer-centric" while also meeting complex operational needs?

Portfolio Presentation Strategy:

• Structure Your Case Studies: For each relevant project, clearly outline the problem statement, your role, the design process, key decisions, challenges faced, and the final solution.
• Quantify Your Impact: Emphasize the measurable outcomes of your work. Use specific data points and UX KPIs to demonstrate how your designs improved data clarity, efficiency, or user decision-making.
• Highlight Data Visualization: Dedicate specific sections or examples to your data visualization projects, explaining your rationale for design choices and showcasing interactive elements if possible.
• Demonstrate Figma Skills: Be ready to walk through specific Figma files or prototypes, explaining your approach to component creation, design systems, and data element design.
• Tell a Story: Frame your portfolio presentations as compelling narratives that showcase your problem-solving abilities and your impact on users and the business.

📝 Enhancement Note: Interview preparation should focus on demonstrating an understanding of operational data challenges and how UX design can solve them. Candidates should be ready to articulate their process for translating complex data into actionable insights and showcase quantifiable results related to efficiency and clarity.

📌 Application Steps

To apply for this operations technology-focused UX design position:

• Submit your resume and a link to your portfolio through the Gravie careers portal.
• Curate Your Portfolio: Ensure your portfolio prominently features case studies related to data visualization, analytics dashboards, and complex reporting tools. Tailor your presentation to highlight how you translate operational and financial data into user-friendly interfaces.
• Tailor Your Resume: Emphasize keywords related to UX design, data visualization, Figma, information design, operational reports, financial data, and any industry experience (Healthcare, B2B SaaS, Fintech). Quantify achievements with metrics where possible.
• Prepare Your Narrative: Be ready to clearly articulate your design process, your problem-solving approach for complex data challenges, and the measurable impact of your work using UX KPIs. Practice presenting your portfolio with a focus on clarity and efficiency.
• Research Gravie: Understand their mission, products, and target audience. Consider how your design expertise can contribute to their goal of improving healthcare purchasing and access.

⚠️ 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.

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