Senior Data Product Designer

📍 Job Overview

Job Title: Senior Data Product Designer

Company: HealthVerity

Location: Philadelphia, Pennsylvania, United States

Job Type: Full-time

Category: Data Product Design / Healthcare Technology Operations

Date Posted: 2026-09-30T19:07:21

Experience Level: 5-10 Years

Remote Status: Hybrid (3 days in office)

🚀 Role Summary

• Lead the design and development of innovative, privacy-protected real-world data products within the healthcare and life sciences sectors.

• Drive product strategy by deeply understanding client needs and translating them into impactful data solutions that address business objectives and market demands.

• Foster cross-functional collaboration with Data Product Management, Engineering, Data Solutions, and client-facing teams throughout the entire product lifecycle.

• Utilize advanced SQL and deep healthcare data expertise to build compelling products that simplify complex data and enhance client engagement.

📝 Enhancement Note: This role is positioned at a senior level, implying a significant degree of autonomy and strategic influence. The focus on "unexpressed needs" and "working through ambiguity" suggests a need for proactive problem-solving and a strong understanding of the healthcare data landscape beyond standard requirements. The emphasis on client engagement and product advocacy highlights the importance of strong communication and relationship-building skills.

📈 Primary Responsibilities

• Spearhead the design of new data offerings, features, and enhancements, leveraging deep data expertise to meet unexpressed client needs across multiple data product areas.

• Collaborate closely with Data Product Management, Data Product Engineering, Data Solutions, and client-facing teams to ensure seamless product development from concept through launch.

• Drive innovation in data products for the healthcare sector, capitalizing on HealthVerity's leadership position in the real-world data (RWD) marketplace.

• Forge strong relationships with enterprise clients to understand their unique challenges, actively incorporating their feedback into the product lifecycle to exceed market needs.

• Represent and advocate for HealthVerity's product strategy in customer interactions and external engagements to enhance market presence and product visibility.

• Independently research and develop data products and solutions, demonstrating comfort working through ambiguity to achieve a deep understanding of client challenges.

• Contribute directly to revenue growth by developing new products or enhancements that differentiate HealthVerity in the market.

• Author and submit research abstracts, white papers, and manuscripts to support the positioning and adoption of new and existing data products.

📝 Enhancement Note: The responsibilities emphasize a blend of strategic design, hands-on technical application (SQL, healthcare data structures), and client-facing advocacy. The expectation to "research and develop data products/solutions with little or no support" indicates a need for self-starters with strong problem-solving capabilities and a proactive approach to identifying and addressing client needs.

🎓 Skills & Qualifications

Education: Advanced degree in a relevant discipline (e.g., Healthcare Informatics, Statistics, Epidemiology, Public Health) is preferred.

Experience: 6+ years of experience in data solution/design within healthcare technology.

Required Skills:

• 6+ years of advanced SQL programming and analytic experience, specifically in real-world evidence (RWE) or commercial pharma applications.

• 3+ years of experience in an external customer-facing role with a focus on real-world data.

• Deep understanding of healthcare data structures (e.g., claims, remittance, EMR, registry, chargemaster, pre-authorizations) and the ability to derive insights from them.

• Proficiency in user experience (UX) and design principles, with a demonstrated ability to create client-delighting data products.

• Strong design thinking skills, with the capacity to anticipate future client needs and develop innovative solutions.

• Exceptional analytical and problem-solving skills, with a proven track record of making data-driven decisions.

• Excellent communication and interpersonal skills, enabling effective engagement with diverse stakeholders.

• Understanding of engineering and data warehousing principles, including normalization, standardization, patient mastering, and deduplication.

• Proven track record of using clinical data to solve challenges, preferably within the Life Sciences industry. Preferred Skills:

• Experience with rapid prototyping methodologies.

• Familiarity with data product management principles and lifecycle management.

• Knowledge of various healthcare data privacy regulations and compliance standards.

📝 Enhancement Note: The required experience level (6+ years) and the specific emphasis on advanced SQL and healthcare data structures indicate a need for a candidate with a strong technical foundation in data analysis within the healthcare domain. The preference for an advanced degree suggests that candidates with formal education in related fields may have an advantage, particularly in areas like epidemiology or informatics.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Showcase a minimum of 2-3 comprehensive case studies demonstrating the design and development of data products, with a strong emphasis on healthcare data.

• Clearly articulate the client's challenge, your design process, the technical solutions implemented (especially SQL usage), and the measurable business impact or ROI achieved.

• Highlight examples of how client feedback was integrated into the design iteration process to improve user experience and product utility.

• Include examples of workflow design, process optimization, and system implementation related to data product delivery. Process Documentation:

• Demonstrate experience in documenting design processes, including user research findings, wireframes, mockups, and prototypes.

• Provide evidence of process optimization efforts that led to increased efficiency or improved data product quality.

• Showcase an understanding of how to measure the performance and impact of data products post-launch, linking back to initial design goals.

📝 Enhancement Note: For a Senior Data Product Designer role, a robust portfolio is crucial. It should not only display visual design skills but also a deep understanding of data architecture, SQL capabilities, and the ability to translate complex data into user-friendly and impactful products. The portfolio must clearly demonstrate how the candidate has driven business outcomes and solved complex client problems within the healthcare data space.

💵 Compensation & Benefits

Salary Range: $150,000 - $185,000 annually, commensurate with experience.

Bonus Opportunity: Annual bonus opportunity is available for this role.

Benefits:

• Comprehensive health, dental, and vision coverage effective from day one of employment.

• 401(k) plan for retirement savings.

• Equity program, with new hire equity grants available for Director level and above.

• Generous Paid Time Off (PTO), targeted at approximately 4 weeks per year, encompassing vacation, personal, and sick time.

• Paid parental leave: 12 weeks for childbearing, surrogacy, and adoption; 6 weeks for non-childbearing parents.

• Comprehensive and individualized onboarding program, including mentorship and departmental talks.

• Annual budget allocated for professional development pursuits.

Working Hours: Standard full-time hours, with a hybrid work arrangement requiring 3 days per week in the Philadelphia office for local employees. Remote employees also participate in annual in-person gatherings.

📝 Enhancement Note: The salary range provided is competitive for a Senior Data Product Designer in a major metropolitan area like Philadelphia, especially within the specialized healthcare technology sector. The inclusion of an annual bonus and equity program (for senior roles) further enhances the total compensation package. Benefits like comprehensive health coverage from day one, substantial parental leave, and a professional development budget are strong indicators of a supportive employer.

🎯 Team & Company Context

🏢 Company Culture

Industry: Healthcare Technology / Real-World Data Exchange

Company Size: HealthVerity is a growing company, indicated by its need for senior talent and its focus on expanding its data product offerings. While specific numbers aren't provided, the description suggests an organization with established processes but also a drive for innovation and growth.

Founded: HealthVerity was founded with a mission to transform healthcare data analysis, indicating a history rooted in innovation within the healthcare data space.

Team Structure:

• The role operates within a product-centric environment, collaborating closely with Data Product Management and Data Product Engineering teams.

• Cross-functional interaction is key, extending to Data Solutions and client-facing teams, highlighting a collaborative and integrated approach to product development.

• The "Senior" title suggests potential for informal leadership or mentorship within design initiatives, even if not a formal management role. Methodology:

• Emphasis on design thinking and rapid prototyping to iterate on user experiences based on client feedback.

• Data-driven decision-making is a core principle, leveraging advanced SQL and deep healthcare data expertise.

• A customer-first approach is central, with direct client engagement informing product design and development.

• Focus on building impactful data products that drive revenue growth and market differentiation.

Company Website: healthverity.com

📝 Enhancement Note: HealthVerity positions itself as a leader in privacy-protected real-world data exchange. The company culture is described as making a difference, being one team, and prioritizing continuous learning. This suggests an environment that values impact, collaboration, and professional growth, which are attractive aspects for operations and design professionals seeking meaningful work.

📈 Career & Growth Analysis

Operations Career Level: Senior Data Product Designer. This level implies significant autonomy, strategic input, and a capacity to lead design initiatives with minimal supervision. It's a critical role in shaping the company's data product portfolio.

Reporting Structure: While not explicitly stated, a Senior Data Product Designer typically reports to a Product Design Lead, Head of Product, or a Director of Product Design. The role involves close collaboration with Product Management and Engineering leads.

Operations Impact: This role has a direct impact on revenue growth through the design of new data products and enhancements. By creating innovative and client-centric solutions, the designer contributes to HealthVerity's market differentiation and ability to leverage its extensive real-world data ecosystem.

Growth Opportunities:

• Specialization: Deepen expertise in specific areas of healthcare data (e.g., EMR, claims, registry data) or advanced design methodologies within RWD.

• Leadership: Transition into a lead design role, mentoring junior designers, or managing specific product design streams.

• Product Strategy: Influence the broader product roadmap and strategy by identifying new opportunities based on client insights and market trends.

• Thought Leadership: Further develop a reputation as a thought leader through publishing and presenting on data product design in healthcare.

📝 Enhancement Note: The Senior title and the emphasis on independent work and strategic contribution suggest a clear path for growth within HealthVerity's product organization. The emphasis on thought leadership and direct revenue impact also points to opportunities for increasing responsibility and influence.

🌐 Work Environment

Office Type: HealthVerity operates on a hybrid model. For local employees in Philadelphia, this means 3 days per week in the office, fostering in-person collaboration. For remote employees in approved hub locations or states, work is primarily from home, with annual in-person gatherings for team building and strategic planning.

Office Location(s): Main office in Center City, Philadelphia. Other hub locations include Boston, New York City, Baltimore, Washington D.C., Charlotte, Raleigh-Durham, Atlanta, and Chicago. Approved states for remote work also exist.

Workspace Context:

• The hybrid model in Philadelphia encourages collaborative design sessions, whiteboarding, and spontaneous problem-solving among team members.

• Remote employees are expected to maintain productivity from home, with opportunities for connection during annual events.

• Access to company resources and technology will be provided to support design work, including potentially design software and collaboration tools.

Work Schedule: Standard full-time work schedule (approximately 40 hours per week), with flexibility inherent in the hybrid and remote work options, allowing for effective time management around client needs and project deadlines.

📝 Enhancement Note: The hybrid model in Philadelphia is designed to balance the benefits of in-person collaboration with the flexibility of remote work. The inclusion of hub locations and approved states for remote work indicates a modern approach to talent acquisition, allowing the company to draw from a wider geographical pool while maintaining some level of in-person connection.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A review of your resume and portfolio to assess alignment with the required skills and experience, particularly in healthcare data and product design.

• Technical/Design Interview: Likely to involve in-depth discussions about your SQL expertise, understanding of healthcare data structures, and design thinking process. You may be asked to walk through specific portfolio case studies.

• Cross-functional Interviews: Meetings with members of Product Management, Engineering, and potentially client-facing teams to assess collaboration style and ability to work with diverse stakeholders.

• Hiring Manager Interview: A discussion focused on your career aspirations, leadership potential, and how you would contribute to HealthVerity's mission and culture.

• Final Interview/Presentation: Potentially a presentation of a specific project or a case study from your portfolio, demonstrating your ability to articulate complex ideas and solutions.

Portfolio Review Tips:

• Curate Strategically: Select 2-3 of your strongest projects that best showcase your experience with healthcare data, advanced SQL, and end-to-end product design.

• Tell a Story: For each project, clearly outline the problem, your role and approach, the solutions you designed (including technical details like SQL queries or data models), and the quantifiable results or impact.

• Highlight Client Focus: Emphasize instances where you gathered client feedback and iterated on designs to improve outcomes.

• Showcase Technical Depth: Be prepared to discuss the technical aspects of your projects, including your SQL proficiency and understanding of data warehousing principles.

• Visual Appeal: Ensure your portfolio is well-organized, visually appealing, and easy to navigate.

Challenge Preparation:

• Data Scenario: Be prepared for hypothetical scenarios involving healthcare data challenges where you'll need to propose design solutions or analytical approaches.

• SQL Proficiency: Brush up on advanced SQL concepts relevant to data extraction, transformation, and analysis within healthcare datasets.

• Design Thinking: Be ready to articulate your design thinking process and how you approach ambiguous problems.

📝 Enhancement Note: The interview process will likely be rigorous, testing both technical proficiency in data and design, as well as your ability to collaborate and communicate effectively. A well-prepared portfolio that clearly demonstrates tangible results and a deep understanding of the healthcare data domain will be critical for success.

🛠 Tools & Technology Stack

Primary Tools:

• SQL: Advanced proficiency is a core requirement for data extraction, analysis, and potentially defining data product logic.

• Data Visualization Tools: While not explicitly mentioned, tools like Tableau, Power BI, or Looker might be used for presenting insights derived from data products.

• Design Software: Proficiency in industry-standard tools like Figma, Sketch, Adobe XD, or similar for wireframing, prototyping, and UI design.

• Prototyping Tools: Experience with tools that facilitate rapid prototyping to test user flows and gather feedback.

Analytics & Reporting:

• Healthcare Data Platforms: Familiarity with platforms that manage and analyze real-world healthcare data.

• Data Warehousing Concepts: Understanding of principles like normalization, standardization, patient mastering, and deduplication is essential.

CRM & Automation:

• Client Relationship Management (CRM): While not a direct tool for the designer, understanding how data products integrate with CRM systems or how client interactions are managed can be beneficial.

• Project Management Tools: Familiarity with tools like Jira, Asana, or Trello for managing design tasks within product development sprints.

📝 Enhancement Note: The emphasis on advanced SQL and deep understanding of healthcare data structures suggests that candidates who can not only design but also comprehend the underlying data architecture and manipulation will be highly valued. Familiarity with data warehousing principles is also a significant plus.

👥 Team Culture & Values

Operations Values:

• Making a Difference: A core value focused on using data to solve significant healthcare challenges. This means your work will contribute to improving patient outcomes and advancing medical research.

• One Team: Emphasizes collaboration, mutual respect, and celebrating individual contributions towards a shared mission. Expect a supportive environment where teamwork is paramount.

• Learners: Continuous learning and professional development are encouraged. The company invests in its employees' growth through mentorship, resources, and development budgets.

• Data-Driven: Decisions are guided by data and analytics, requiring a methodical and analytical approach to problem-solving.

• Client-Centric: A strong focus on understanding and meeting client needs, ensuring that products are relevant, impactful, and deliver tangible value.

Collaboration Style:

• Highly collaborative, requiring close partnership with Product Management, Engineering, and client-facing teams.

• Open communication and feedback exchange are encouraged to foster innovation and continuous improvement.

• Cross-functional integration is essential for successful product lifecycle management, from ideation to launch and iteration.

📝 Enhancement Note: HealthVerity's stated values of "Making a Difference," "One Team," and "Learners" suggest a culture that is both mission-driven and people-focused. This implies an environment where professionals are empowered to contribute meaningfully while also being supported in their personal and professional growth.

⚡ Challenges & Growth Opportunities

Challenges:

• Navigating Ambiguity: The role requires comfort in working through ambiguous situations to define and design solutions for unexpressed client needs.

• Complex Data Landscape: Deeply understanding and effectively utilizing diverse healthcare data structures (claims, EMR, registry, etc.) to create meaningful products.

• Cross-Functional Alignment: Ensuring seamless collaboration and communication across multiple departments (Product, Engineering, Sales, Client Success) to drive product success.

• Market Differentiation: Continually innovating to ensure HealthVerity's data products stand out in a competitive healthcare data marketplace.

Learning & Development Opportunities:

• Deepen Healthcare Data Expertise: Gain extensive knowledge of various healthcare data types and their applications in RWE and life sciences.

• Advanced Design Methodologies: Hone skills in user experience design, design thinking, and rapid prototyping within a specialized domain.

• Product Strategy Influence: Contribute to shaping the product roadmap and strategic direction of HealthVerity's data product portfolio.

• Thought Leadership: Develop your personal brand and industry recognition through authoring white papers and presenting research.

📝 Enhancement Note: The challenges presented are typical for senior roles in innovative tech companies, offering significant opportunities for professional development. The company's investment in learning and development, combined with the inherent complexity of the domain, provides a fertile ground for growth.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you had to design a data product with limited information. How did you approach the ambiguity, and what was the outcome?" (Tests problem-solving and ability to work through ambiguity).

• "How do you ensure your data product designs are not only functional but also user-centric and deliver tangible business value for clients in the healthcare sector?" (Assesses client focus and impact orientation).

• "Walk us through a complex data product you designed. What were the key technical challenges (e.g., SQL, data structures), and how did you overcome them?" (Evaluates technical depth and problem-solving). Company & Culture Questions:

• "Based on our mission and values, how do you see yourself contributing to HealthVerity's goal of transforming healthcare data exchange?" (Assesses cultural fit and understanding of company mission).

• "How do you approach collaboration with Product Management and Engineering teams, especially when there are differing opinions on product direction?" (Probes teamwork and communication skills).

• "What are your thoughts on the future of real-world data and its impact on healthcare decision-making?" (Gauges industry awareness and strategic thinking). Portfolio Presentation Strategy:

• Structure: Begin with a clear overview of the project, followed by your specific role, the problem statement, your design process (including research and iteration), the technical solution (highlighting SQL and data handling), and finally, the measurable impact or results.

• Quantify Impact: Wherever possible, use metrics to demonstrate the success of your designs (e.g., increased client adoption, improved efficiency, revenue generated).

• Highlight Collaboration: Discuss how you worked with other teams and stakeholders, incorporating their feedback.

• Be Ready for Deep Dives: Prepare to answer detailed questions about specific design choices, technical implementation, and the rationale behind your decisions.

📝 Enhancement Note: Interview preparation should focus on demonstrating a strong understanding of both data product design principles and the nuances of the healthcare data landscape. Be ready to articulate your process, showcase your technical skills (especially SQL), and clearly explain the business value and client impact of your work.

📌 Application Steps

To apply for this Senior Data Product Designer position:

• Submit your application directly through the HealthVerity careers portal via the provided link.

• Portfolio Customization: Ensure your resume and portfolio are tailored to highlight your experience with healthcare data, advanced SQL programming, and end-to-end product design. Select 2-3 of your most relevant case studies.

• Resume Optimization: Quantify your achievements whenever possible, using metrics that demonstrate business impact, efficiency improvements, or successful product launches. Integrate keywords such as "real-world data," "SQL," "healthcare informatics," and "data product design."

• Interview Preparation: Practice articulating your design process, technical solutions, and client engagement strategies. Be ready to present your portfolio confidently and answer scenario-based questions related to data challenges.

• Company Research: Familiarize yourself with HealthVerity's mission, values, and its position in the real-world data exchange market. Understand their approach to privacy-protected data and its impact on healthcare and life sciences.

⚠️ 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.