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Data Visualization Project Manager Jobs (NOW HIRING)

Tulk LLC

Data Visualization Specialist Mid

Fort Belvoir, VA · On-site

$110K - $135K/yr

Data Visualization Specialist Mid TULK is a boutique strategic technology and management consulting ... Project Management and Collaboration - Manage project tasks, prioritize workload, and effectively ...

Steampunk

Tableau Data Visualization Engineer

Mclean, VA · On-site +1

$115K - $160K/yr

We are looking for more than just a "Data Visualization Engineer", but a technologist with ... and manage simultaneous projects * Excellent written and verbal communications skills with the ...

Steampunk

Tableau Data Visualization Engineer

Mclean, VA

$115K - $160K/yr

Steampunk wants you to join our awesome team as Data Visualization Engineer . In this role you'll ... and manage simultaneous projects * Excellent written and verbal communications skills with the ...

Winaxis

Data Visualization Lead

Philadelphia, PA · On-site

... product managers) to gather requirements and create effective visual storytelling solutions ... projects/teams; experience with large datasets and APIs; familiarity with geospatial data formats ...

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Data Visualization Project Manager information

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How much do data visualization project manager jobs pay per hour?

As of Jul 11, 2026, the average hourly pay for data visualization project manager in the United States is $57.51, according to ZipRecruiter salary data. Most workers in this role earn between $49.76 and $67.31 per hour, depending on experience, location, and employer.

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

To thrive as a Data Visualization Project Manager, you need expertise in data analysis, project management, and data visualization principles, often supported by a degree in a related field and experience managing analytics projects. Familiarity with tools like Tableau, Power BI, and project management software such as Jira or Asana is typically required, along with knowledge of data storytelling techniques. Strong communication, leadership, and problem-solving skills help ensure smooth collaboration between technical teams and stakeholders. These capabilities are essential for delivering impactful visual analytics solutions on time and aligning outcomes with business objectives.

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

AspectData Visualization Project ManagerData Analyst
Required CredentialsBachelor's in Data Science, Business, or related field; project management certifications (e.g., PMP)Bachelor's or higher in Data Science, Statistics, or related field; often certifications in analytics tools
Work EnvironmentLeads projects, coordinates teams, manages timelines in corporate or tech settingsAnalyzes data, creates reports, and visualizations in various industries
Employer & Industry UsageUsed in tech, finance, marketing firms managing data projectsCommon across industries for data analysis and reporting

The Data Visualization Project Manager focuses on overseeing data visualization projects, coordinating teams, and ensuring timely delivery. In contrast, a Data Analyst primarily analyzes data and creates visual reports. Both roles require strong analytical skills, but the project manager emphasizes leadership and project coordination, while the analyst emphasizes data interpretation and visualization skills.

How does a Data Visualization Project Manager typically collaborate with data analysts and stakeholders during a project?

A Data Visualization Project Manager acts as a bridge between data analysts, who generate insights from raw data, and stakeholders, who rely on visualizations to inform decisions. They facilitate clear communication by gathering requirements, setting timelines, and ensuring that visual outputs align with stakeholder needs. Regular check-ins, feedback sessions, and collaborative workshops are common practices to keep everyone aligned and address any challenges early. This collaborative approach ensures that the final visualizations are both accurate and actionable, helping drive informed business decisions.

What is a Data Visualization Project Manager?

A Data Visualization Project Manager is a professional who oversees projects focused on turning complex data into visual formats such as charts, dashboards, and infographics. They coordinate teams of data analysts, designers, and developers to ensure that data is presented in a clear and effective way for stakeholders. These managers are responsible for project planning, timeline management, and ensuring that the final visualizations meet business goals and user needs. Strong communication skills and a good understanding of both data analysis and design principles are important for this role.
More about Data Visualization Project Manager jobs
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Data Visualization Project Manager jobs near you
Infographic showing various Data Visualization Project Manager job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $119,617 per year, or $57.5 per hour.
Senior Data Visualization Developer

Senior Data Visualization Developer

Essnova Solutions, Inc.

Huntsville, AL • On-site, Remote

Full-time

Re-posted 15 days ago

Job description

Essnova Solutions, Inc. is an award-winning SBA 8(a) and HUBZone-certified small business delivering advanced technology and professional services to federal, state, local, and commercial clients. Our expertise spans geospatial, healthcare, and environmental solutions, and we are committed to supporting agencies with high-impact, compliance-driven projects.
We are seeking a Senior Data Visualization Developer to serve as the technical lead for the National Center for Health Statistics (NCHS) visualization and solutions development. This role is pivotal in driving the end-to-end lifecycle of data visualization products, ensuring accuracy, accessibility, and compliance with federal standards. You will architect reusable visualization components, bridge communication between statisticians and developers, and uphold rigorous data validation and accessibility requirements.
Key responsibilities include:
  • Lead the technical execution of NCHS visualization and solutions development tasks, overseeing the full development lifecycle from requirements gathering to deployment and documentation.
  • Make strategic decisions on visualization tool selection (e.g., Tableau, Power BI, R/Shiny, Python/Dash, D3.js) and architect/build/maintain a reusable component library for NCHS.
  • Develop and maintain automated data validation scripts to ensure compliance with statistical accuracy and suppression logic.
  • Translate requirements between statisticians and developers by producing implementable specifications, including data models, query patterns, suppression logic rules, and annotated wireframes.
  • Conduct and oversee Section 508/WCAG accessibility testing using automated and manual screen reader tools in coordination with project management methodology.
  • Provide technical guidance on data architecture, technology risk assessment, and enterprise architecture artifacts, including process and data-flow diagrams.
  • Support Adobe Analytics administration and reporting as needed.
  • Collaborate closely with Data Engineers and PMs to ensure compliance with federal statistical agency standards and protected data requirements.

Requirements
Required Qualifications:
  • Bachelor's degree in Computer Science, Data Science, Statistics, Information Systems, or a related field
  • 7+ years of data visualization development experience in federal agencies or compliance-driven environments
  • Advanced proficiency in at least three of the following: Tableau, Power BI, R (ggplot2/Shiny/R Markdown), Python (plotly/Dash/pandas/matplotlib), D3.js, with working proficiency in the remaining tools
  • Experience serving as technical lead for end-to-end data visualization development, including requirements, preprocessing, design, build, review, accessibility testing, deployment, and documentation
  • Experience presenting statistical data, including confidence intervals, weighted estimates, and suppression rules
  • Experience conducting Section 508 / WCAG 2.0 Level AA accessibility testing using automated tools (axe or WAVE) and manual screen reader testing (JAWS or NVDA)
  • Proficiency with Git for code reviews and embedded documentation, and SQL for analytics/visualization data needs
  • Experience translating requirements between statisticians and developers by producing implementable specifications (data models, query patterns, annotated wireframes)
  • Experience administering and reporting with Adobe Analytics or equivalent digital analytics platforms
  • Active Tier 4 / High Risk Public Trust (Level 6+) clearance at time of proposal submission and eligibility for HSPD-12/PIV credentialing
  • Currently located in the United States and able to overlap core working hours in Eastern Time
Preferred Qualifications:
  • Master's degree in Computer Science, Data Science, Statistics, Information Systems, or a related field
  • Experience with NCHS, CDC, or federal statistical data environments
  • Experience applying machine learning techniques to analysis or visualization tasks
  • Familiarity with HHS EPLC or equivalent federal project lifecycle methodologies

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