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Data Visualization Vice President Jobs (NOW HIRING)

Kaizen Analytix LLC

VP of Data Science

Atlanta, GA · On-site

Original Post Date: 4/3/2026 VP of Data Science Kaizen Analytix LLC, an analytics products and ... Thorough understanding of Data Visualization tools (Tableau and Power BI preferred) * Through ...

Real Chemistry

AVP/VP, Client Services (RadScience)

$190K - $205K/yr

The AVP/VP will lead strategic client partnerships, drive business growth, and oversee the ... Scientific Visualization (RadScience), a specialized team within Real Chemistry's Medical ...

Dentsu Aegis Network Ltd.

$150 - $200/hr

VP, Marketing Effectiveness page is loaded## VP, Marketing EffectivenessApplylocations: USA ... Experience in data visualization (Excel, Tableau, Power BI, Datorama)* Advanced media measurement ...

Dentsu Aegis Network Ltd.

WI · On-site

$150 - $200/hr

VP, Marketing Effectiveness page is loaded## VP, Marketing EffectivenessApplylocations: USA ... Experience in data visualization (Excel, Tableau, Power BI, Datorama)* Advanced media measurement ...

Umusic

Vice President, Data and Insights

Nashville, TN · On-site

The VP serves as a strategic partner to the Marketing, Digital, and Artist teams- identify emerging ... Advanced experience with data visualization platforms like Tableau, Looker, DOMO and similar ...

Citi

VP Marketing Data Science

New York, NY · On-site

The VP, Marketing Data Science is a highly experienced and senior role, and part of the larger ... Experience with big data technologies, cloud platforms, and data visualization tools (e.g., SQL ...

Raymond James Financial, Inc.

NY · On-site

$200 - $250/hr

Summary The VP, Head of Credit Risk Portfolio Management is a senior member of the Enterprise ... This role combines deep credit expertise with advanced analytics, data visualization, automation ...

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Data Visualization Vice President information

See salary details

$54K

$109.5K

$161.5K

How much do data visualization vice president jobs pay per year?

As of Sep 9, 2026, the average yearly pay for data visualization vice president in the United States is $109,451.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,000.00 and $123,000.00 per year, depending on experience, location, and employer.

What does a Data Visualization Vice President do?

A Data Visualization Vice President leads teams in designing and implementing data visualization strategies for an organization. They oversee the creation of dashboards, reports, and visual analytics tools that help stakeholders understand complex data. This role involves collaborating with data scientists, analysts, and business leaders to ensure visualizations effectively communicate insights and support decision-making. Additionally, they set standards for data presentation, mentor team members, and stay updated on the latest visualization technologies.

What skills and qualifications are needed to thrive as a Data Visualization Vice President?

To excel as a Data Visualization Vice President, you need advanced data analysis skills, expertise in visualization techniques, and a strong background in statistics or computer science, often supported by a relevant degree. Mastery of tools such as Tableau, Power BI, D3.js, and experience with data warehousing systems are typically required, alongside certifications in data analytics or visualization. Leadership, strategic thinking, and the ability to clearly communicate complex findings to both technical and non-technical stakeholders are standout soft skills for this role. These competencies are crucial for driving data-driven decisions and effectively leading teams to translate complex data into actionable business insights.

How does a Data Visualization Vice President typically collaborate with data science and business teams to drive organizational insights?

A Data Visualization Vice President often acts as a bridge between technical data teams and business stakeholders, translating complex analyses into actionable visual narratives. They lead cross-functional workshops to understand key business questions and ensure visualization projects align with both technical possibilities and business goals. Regular collaboration includes reviewing prototypes with data scientists, gathering feedback from executives, and mentoring visualization teams on best practices. This collaborative approach ensures that data-driven insights are both accessible and impactful to decision-makers.

What is the difference between Data Visualization Vice President vs Data Analytics Director?

AspectData Visualization Vice PresidentData Analytics Director
Required CredentialsBachelor's/Master's in Data Science, Business, or related fields; extensive experience in data visualization leadershipBachelor's/Master's in Data Science, Analytics, or related fields; strong background in data analysis and visualization
Work EnvironmentExecutive leadership, strategic planning, cross-departmental collaborationOperational management, project oversight, team leadership in analytics
Employer & Industry UsageLarge corporations, tech firms, finance, healthcareCorporations, consulting firms, tech companies, finance

The Data Visualization Vice President focuses on strategic leadership and high-level visualization initiatives, while the Data Analytics Director manages day-to-day analytics projects and teams. Both roles require strong data skills, but the VP role emphasizes executive decision-making and vision setting.

What are the most commonly searched types of Data Visualization jobs?

The most popular types of Data Visualization jobs are:

What are popular job titles related to Data Visualization Vice President jobs?

For Data Visualization Vice President jobs, the most frequently searched job titles are:

Infographic showing various Data Visualization Vice President job openings in the United States as of September 2026, with employment types broken down into 80% Full Time, and 20% Temporary. Highlights an 100% In-person job distribution, with an average salary of $109,451 per year, or $52.6 per hour.

VP of Data Science

Atlanta, GA • On-site

Kaizen Analytix LLC
Library and Information Services • 11 - 50 employees
Learn more about Kaizen Analytix LLCexternal

Full-time

Re-posted 18 hours ago

Key responsibilities

  • Coordinate multiple client analytics engagements involving custom and packaged solutions.

  • Oversee delivery teams and guide project workstream leaders to solve business problems through analytics.

  • Present insights to clients and leadership, and support sales and business development activities.

Job description

Original Post Date: 4/3/2026
VP of Data Science
Kaizen Analytix LLC, an analytics products and services company that gives clients unmatched speed to value through analytics solutions and actionable business insights, is seeking qualified candidates for a VP of Data Science. Responsibilities, capabilities for success, requirements, and the ideal candidate for this position are provided below.
Responsibilities:
Coordinate multiple client analytics engagements - consisting of both custom and packaged analytics solutions by...
  • Overseeing core delivery teams of Kaizen and non-Kaizen (clients, third parties) resources that possess business, technology, and data science skill sets
  • Guiding project workstream leaders
  • Solving business problems through excellent decision-making and innovative, strategic ideas
  • Implementing solutions in either client or Kaizen environments

Capabilities for Success:
Candidate should demonstrate an ability to...
  • Understand business context of analytics solution: Current state, problem, goals/objectives and their business value, obstacles, and impacted client constituents
  • Coordinate teams of analysts/data scientists/software engineers in performing and implementing high quality, sophisticated analysis in support of client engagements and internal projects
  • Provide thought leadership and guidance for multi-variable, complex statistical analysis and mathematical programming algorithms like linear programming, MIP, discrete optimization etc.
  • Present high-level insights to client teams (project leadership to executive-level) and Kaizen leadership
  • Facilitate and foster interaction between client and Kaizen teams
  • Supervise contributions to the KA proprietary solution library - KaizenValueAccelerators (KVAs) and suggest new capabilities in terms of mathematical models, solution frameworks, etc.
  • Provide internal Kaizen teams with thought leadership for brainstorming, developing, delivering, and testing service-oriented software or subscription offerings for targeted clients / industry verticals
  • Continously enhance working knowledge of new models and solution techniques which could be leveraged across projects, look for cross-industry applicability
  • Efficiently coordinate delivery team and client leadership (both business and technical domains) through ambiguity of business process, organization change, and detailed requirements
  • Provide industry-specific thought leadership for defining modeling and measurement techniques and utilizing mathematics, statistical methods, engineering methods, operational mathematical techniques to estimate benefits from using analytical models
  • Support sales and business development activities for both existing and new clients
  • Participate in group leadership, provide leadership for a part of the overall group including all administrative tasks required
  • Contribute to Kaizen's knowledge capital by writing articles and presenting at industry conferences

Job Requirements:
  • Education and Experience
  • Ph.D. in Operations Research, Data Science, Business Analytics, Industrial Engineering, Econometrics, Computer Science, or other applied mathematical discipline, with at least 7 years of relevant professional experience, OR
  • Master's degree in Operations Research, Data Science, Business Analytics, Industrial Engineering, Econometrics, Computer Science, or other applied mathematical discipline, with at least 9 years of relevant professional experience
  • Expertise in three or more of the following areas: math programming, probability, statistics, forecasting, machine learning, artificial intelligence, or other heuristics
  • Excellent written and verbal communication and presentation skills
  • Thorough understanding of all and a minimum of 5 years of expert level experience in four or more of the following: Python, R, SAS, SQL, GLPK, CPLEX, Gurobi, MATLAB
  • Highly proficient in all Microsoft Office applications
  • Ability to structure and analyze large data sets
  • Thorough understanding of Data Visualization tools (Tableau and Power BI preferred)
  • Through understanding of Agile project management methodology
  • Ability to travel as dictated by business needs

Apply