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Data Visualization Manager Jobs in Jacksonville, FL

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... visualization tools - Experience in designing advanced analytics solutions - Coaching and ...

Data Analyst

Jacksonville, FL · Remote

$36 - $59/hr

... or management context. * Competence in data analysis software and coding languages including SQL, Python, R, or advanced Excel. * Strong capability in data visualization using platforms such as ...

Guides students through data cleaning with Pandas, exploratory analysis with visualization ... product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ...

... Management. Following the machine learning lifecycle, the data scientist should be able to convert ... Proficiency with data visualization and business intelligence tools (e.g., Tableau or equivalent)

... Management. Following the machine learning lifecycle, the data scientist should be able to convert ... Proficiency with data visualization and business intelligence tools (e.g., Tableau or equivalent)

... Management. Following the machine learning lifecycle, the data scientist should be able to convert ... Proficiency with data visualization and business intelligence tools (e.g., Tableau or equivalent)

... Management. Following the machine learning lifecycle, the data scientist should be able to convert ... Proficiency with data visualization and business intelligence tools (e.g., Tableau or equivalent)

... data-driven management positions. * Conceptual Teaching & Problem-Solving: Skilled at breaking down regression modeling, data visualization design, and optimization problem formulation. Guides ...

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Showing results 1-20

Data Visualization Manager information

See Jacksonville, FL salary details

$50K

$101.4K

$149.6K

How much do data visualization manager jobs pay per year?

As of Sep 1, 2026, the average yearly pay for data visualization manager in Jacksonville, FL is $101,413.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,400.00 and $114,000.00 per year, depending on experience, location, and employer.

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 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 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 Jacksonville, FL?

The most popular types of Data Visualization jobs in Jacksonville, FL are:

What are popular job titles related to Data Visualization Manager jobs in Jacksonville, FL?

For Data Visualization Manager jobs in Jacksonville, FL, the most frequently searched job titles are:

What job categories do people searching Data Visualization Manager jobs in Jacksonville, FL look for?

The top searched job categories for Data Visualization Manager jobs in Jacksonville, FL are:

What cities near Jacksonville, FL are hiring for Data Visualization Manager jobs?

Cities near Jacksonville, FL with the most Data Visualization Manager job openings:

Infographic showing various Data Visualization Manager job openings in Jacksonville, FL as of August 2026, with employment types broken down into 86% Full Time, 12% Part Time, and 2% Contract. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution, with an average salary of $101,413 per year, or $48.8 per hour.

$54K - $55K/yr

Full-time

Re-posted 8 days ago


Job description

Overview

US Citizens only

Please note that pursuant to a government contract, this specific position requires U.S. citizen, U.S. national or protected individual (as defined in 8 U.S.C. 1324b(a)(3)) status.

Job Purpose

Intercontinental Exchange is seeking a Data Scientist I to join our Loan Data team. As a Data Scientist I, you will play a critical role in analyzing complex loan data sets to identify trends, develop data products, and drive business insights that inform our clients' investment decisions and business strategies. You will work closely with our team to design, develop, and implement data-driven solutions that meet the evolving needs of our clients and drive growth in the loan market.

Intercontinental Exchange (ICE) is a global network of exchanges and clearing houses that operates a range of markets, including financial, agricultural, and energy. Our exchanges, including the New York Stock Exchange (NYSE), ICE Futures, and ICE Clear, provide a platform for buyers and sellers to trade and manage risk. We are committed to delivering innovative solutions that meet the evolving needs of our clients and drive growth in the global economy.

Responsibilities

  • Loan Data Analysis:
    • Collect, process, and analyze large loan data sets from various sources (e.g., loan origination systems, servicing platforms).
    • Identify trends, patterns, and anomalies in loan data using statistical techniques and data visualization tools.
    • Develop and maintain databases and data systems to support loan data analysis and modeling.
  • Data Quality & Data Stewardship
    • Monitor and assess the quality of loan data across internal and external sources.
    • Identify data quality issues, anomalies, and inconsistencies through analysis and validation checks.
    • Partner with data providers, clients, developers, and stakeholders to investigate root causes and drive issue remediation.
    • Contribute to the development of data quality rules, monitoring processes, and controls.
    • Document data quality issues and track resolution progress.
  • Insight Generation:
    • Communicate complex loan data insights and model results to non-technical stakeholders.
    • Develop and present reports, dashboards, and visualizations to support business decisions.
    • Collaborate with stakeholders to identify business problems and develop data-driven solutions.
  • Data Engineering:
    • Design, develop, and maintain data pipelines and architectures to support loan data analysis and modeling.
    • Collaborate with data engineers to implement data solutions and integrate with existing systems.
  • Research and Development:
    • Stay up-to-date with industry trends, research, and developments in data science, machine learning, and related fields.
    • Explore new technologies, tools, and methodologies to enhance existing loan data solutions and models.

Knowledge and Experience

  • Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, or a related field.
  • Proficiency in programming languages (e.g., Python, R, SQL) and software tools (e.g., pandas, NumPy, scikit-learn).
  • Experience with loan data analysis, machine learning, and data visualization.
  • Familiarity with relational database tools and environments such as SSMS, along with exposure to modern data platforms such as Databricks or Snowflake.
  • Experience with AI-assisted development and analytics tools and ability to incorporate them into data analysis and workflow processes.
  • Strong analytical and problem-solving skills, with the ability to analyze complex loan data sets and develop creative solutions.
  • Experience with data visualization tools (e.g., Sigma, Tableau, Power BI).
  • Excellent communication and collaboration skills, with the ability to work effectively with technical and non-technical stakeholders.

Nice to Have

  • Advanced Degree:
    • Master's or Ph.D. in Computer Science, Statistics, Mathematics, Data Science, or a related field.
  • Certifications:
    • Certified Data Scientist (CDS), Certified Analytics Professional (CAP), or other relevant certifications.
  • Cloud Computing:
    • Experience with cloud computing platforms (e.g., AWS, Azure, Google Cloud, Snowflake).
  • Domain Expertise:
    • Familiarity with loan markets, loan products, and lending regulations.

#LI-MA1

----------Intercontinental Exchange, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to legally protected characteristics.Employment Type: FULL_TIME