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Data Visualization Manager Jobs in Philadelphia, PA

... product managers) to gather requirements and create effective visual storytelling solutions ... data visualization to drive team innovation. - Utilize strong UI/UX skills to deliver compelling ...

You will utilize skills in data manipulation, visualization, and statistical modeling to support ... As a Manager, you will lead teams and manage client accounts, focusing on strategic planning and ...

... data visualization best practices A career at SEI extends well beyond providing great service and thought leadership to our clients. Everyone takes an active role in building and managing our ...

Prepare recurring and ad-hoc reports, dashboards, and analytics to support portfolio management ... Design, develop, and enhance reporting solutions using business intelligence and data visualization ...

Prepare recurring and ad-hoc reports, dashboards, and analytics to support portfolio management ... Design, develop, and enhance reporting solutions using business intelligence and data visualization ...

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Data Visualization Manager information

See Philadelphia, PA salary details

$51.6K

$104.6K

$154.3K

How much do data visualization manager jobs pay per year?

As of Jul 26, 2026, the average yearly pay for data visualization manager in Philadelphia, PA is $104,605.00, according to ZipRecruiter salary data. Most workers in this role earn between $86,000.00 and $117,600.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Visualization Manager, and why are they important?

To thrive as a Data Visualization Manager, you need a strong foundation in data analysis, visualization techniques, and statistical knowledge, typically supported by a degree in data science, computer science, or a related field. Expertise in tools such as Tableau, Power BI, and programming languages like Python or R, as well as familiarity with data management systems, is highly valued. Exceptional communication, leadership, and problem-solving skills help bridge the gap between technical teams and business stakeholders. These abilities are crucial for transforming complex data into actionable insights that drive strategic decision-making.

What are some common challenges Data Visualization Managers face when leading cross-functional projects?

Data Visualization Managers often navigate the challenge of aligning diverse teams, such as data analysts, designers, and business stakeholders, to ensure visualizations meet technical accuracy and business needs. Balancing the complexity of large datasets with the need for clear, actionable visuals can be demanding, especially when stakeholders have varying levels of data literacy. Effective communication, prioritizing user experience, and iterative feedback are crucial for overcoming these hurdles and delivering impactful visual solutions.

What does a Data Visualization Manager do?

A Data Visualization Manager leads teams in designing and implementing visual representations of data to help organizations make informed decisions. They collaborate with data analysts, business stakeholders, and IT professionals to translate complex data sets into clear, actionable insights through dashboards, charts, and interactive reports. Their role also involves ensuring data accuracy, selecting appropriate visualization tools, and maintaining best practices in data storytelling. Additionally, they often provide guidance and training to team members on effective visualization techniques.

What is the difference between Data Visualization Manager vs Data Analyst?

AspectData Visualization ManagerData Analyst
Required CredentialsBachelor's or Master's in Data Science, Analytics, or related field; experience in data visualization toolsBachelor's in Statistics, Mathematics, or related field; proficiency in data analysis and visualization tools
Work EnvironmentLeads visualization teams, collaborates with stakeholders, manages projectsAnalyzes data sets, creates reports, supports decision-making
Employer & Industry UsageUsed across tech, finance, marketing, and consulting firmsCommon in finance, healthcare, marketing, and research organizations

The Data Visualization Manager focuses on leading teams and overseeing visualization projects, while the Data Analyst primarily analyzes data and creates visual reports. Both roles require strong skills in data tools, but the manager role emphasizes leadership and project management, whereas the analyst role centers on data interpretation and reporting.

What are the most commonly searched types of Data Visualization jobs in Philadelphia, PA? The most popular types of Data Visualization jobs in Philadelphia, PA are:
What are popular job titles related to Data Visualization Manager jobs in Philadelphia, PA? For Data Visualization Manager jobs in Philadelphia, PA, the most frequently searched job titles are:
What job categories do people searching Data Visualization Manager jobs in Philadelphia, PA look for? The top searched job categories for Data Visualization Manager jobs in Philadelphia, PA are:
What cities near Philadelphia, PA are hiring for Data Visualization Manager jobs? Cities near Philadelphia, PA with the most Data Visualization Manager job openings:
Data Visualization Lead

Data Visualization Lead

Winaxis

Philadelphia, PA โ€ข On-site

Contractor

Posted 8 days ago


Job description

Job Summary โ€“ Data Visualization Lead
- Design and develop advanced, interactive data visualizations using React, Deck.gl, and related technologies.
- Lead and mentor a small team of visualization engineers, providing technical guidance and conducting code reviews.
- Collaborate with cross-functional teams (data scientists, engineers, product managers) to gather requirements and create effective visual storytelling solutions.
- Optimize rendering performance for large, complex geospatial and temporal datasets.
- Ensure accessibility and responsiveness of visualizations across various devices and platforms.
- Maintain a scalable and maintainable codebase using best practices in testing, performance, and code structure.
- Stay updated on emerging trends and technologies in data visualization to drive team innovation.
- Utilize strong UI/UX skills to deliver compelling and intuitive user experiences.
- Required Skills: Proficiency in React.js, Deck.gl, JavaScript, HTML/CSS, SQL; experience leading engineering projects/teams; experience with large datasets and APIs; familiarity with geospatial data formats.
- Preferred Skills: Experience with Carto, JSON, API integration, CI/CD, Java, GIS/urban data, state management, design systems (Figma/Storybook), and agile environments.