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Data Visualization Manager Jobs in Alabama (NOW HIRING)

Job Title Data Scientist Career Level Experienced (Non-Manager) Job Type Full-Time Location RWESS ... Background working with common data visualization tools (PowerBI, Tableau, etc.) and data ...

Key Responsibilities Data Management & Integration · Extract, validate, and integrate data from ... Data visualization tools (Power BI, Tableau, or similar) · Experience working with EHR and PM ...

Key Responsibilities Data Management & Integration · Extract, validate, and integrate data from ... Data visualization tools (Power BI, Tableau, or similar) · Experience working with EHR and PM ...

Ability to manage competing projects and priorities effectively. * Ability to interact with varying ... Bachelor's degree and 2+ years of experience in data analysis, interpretation, and visualization ...

Data Engineer, Finance

Birmingham, AL · On-site

$107K - $128K/yr

... manages data security frameworks, including role-level security (RLS) and permissions across ... Utilize visualization techniques and BI Tools (Power BI & Qlik) to present findings in a clear ...

Data Engineer (entry-level)

Huntsville, AL · On-site

$106K - $128K/yr

This role integrates advanced data management, analysis, and visualization capabilities with core accounting and financial processes to establish continuous audit readiness. Additionally, the Data ...

New

Data Engineer (entry-level)

Huntsville, AL

$106K - $128K/yr

This role integrates advanced data management, analysis, and visualization capabilities with core accounting and financial processes to establish continuous audit readiness. Additionally, the Data ...

New

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Showing results 1-20

Data Visualization Manager information

See Alabama salary details

$48.9K

$99.2K

$146.4K

How much do data visualization manager jobs pay per year?

As of Jul 15, 2026, the average yearly pay for data visualization manager in Alabama is $99,205.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,600.00 and $111,500.00 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 Alabama? The most popular types of Data Visualization jobs in Alabama are:
What are popular job titles related to Data Visualization Manager jobs in Alabama? For Data Visualization Manager jobs in Alabama, the most frequently searched job titles are:
What job categories do people searching Data Visualization Manager jobs in Alabama look for? The top searched job categories for Data Visualization Manager jobs in Alabama are:
What cities in Alabama are hiring for Data Visualization Manager jobs? Cities in Alabama with the most Data Visualization Manager job openings:
Infographic showing various Data Visualization Manager job openings in Alabama as of July 2026, with employment types broken down into 75% Full Time, and 25% Contract. Highlights an 100% In-person job distribution, with an average salary of $99,205 per year, or $47.7 per hour.
Senior Data Visualization Developer

Senior Data Visualization Developer

Essnova Solutions, Inc.

Huntsville, AL • On-site, Remote

Full-time

Posted 18 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