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Director Data Visualization Jobs in Boston, MA (NOW HIRING)

Inmar

Director, Data Science (MarTech)

Boston, MA · On-site

The Director, Data (MarTech) is responsible for applying data exploration and visualization, machine learning and artificial intelligence, and other data science techniques to explore, create, and ...

Pwc

Data Validation Risk - Director

Boston, MA · On-site

$155K - $410K/yr

As a Director, you will set the strategic direction and lead business development efforts, making ... You will leverage skills in data manipulation, visualization, and statistical modeling to support ...

Novartis

Associate Director, Data Science

Cambridge, MA · Hybrid

$160K - $297K/yr

Associate Director Location: Cambridge, MA Novartis is a leader in data science and model-informed ... Strong data visualization and exploratory data analysis skills. * Ability to translate complex ...

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All JobsData Visualization JobsDirector Data Visualization JobsDirector Data Visualization Jobs in Boston, MA

Director Data Visualization information

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$58.7K

$118.9K

$175.5K

How much do director data visualization jobs pay per year?

As of Jul 13, 2026, the average yearly pay for director data visualization in Boston, MA is $118,907.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,800.00 and $133,600.00 per year, depending on experience, location, and employer.

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

AspectDirector Data VisualizationData Analyst
Required CredentialsBachelor's or Master's in Data Science, Computer Science, or related field; extensive experience in data visualization toolsBachelor's in Data Science, Statistics, or related field; proficiency in data analysis and visualization tools
Work EnvironmentLeadership role overseeing visualization teams, strategic planning, and project managementAnalyzing data sets, creating reports, and supporting decision-making processes
Employer & Industry UsageUsed in tech, finance, marketing, and large organizations for strategic insightsCommon across various industries for data interpretation and reporting

The main difference is that a Director Data Visualization leads visualization teams and sets strategic goals, while a Data Analyst focuses on analyzing data and creating visual reports. The director role involves higher-level management and planning, whereas the analyst role is more hands-on with data processing and reporting tasks.

Is data visualization a good career?

Data visualization is a valuable career for professionals skilled in data analysis, design, and tools like Tableau or Power BI. It offers opportunities in various industries, often with a demand for strong communication skills and the ability to interpret complex data visually. The field can provide steady employment and growth potential for those with relevant technical and analytical expertise.

What are some common challenges faced by a Director of Data Visualization when leading cross-functional teams?

As a Director of Data Visualization, one common challenge is bridging the gap between technical data teams and non-technical stakeholders. You'll often need to translate complex data insights into clear, compelling visuals that drive business decisions, while aligning the expectations and goals of multiple departments. Ensuring data accuracy, managing tight deadlines, and fostering collaboration among analysts, designers, and executives are also key aspects of the role. Effective communication and strong project management skills are essential to overcome these challenges and deliver impactful visualizations.

How to become a director of analytics?

To become a director of analytics, candidates typically need extensive experience in data analysis, data management, and leadership roles, often requiring 8-10 years in related fields. A strong understanding of data visualization tools, programming languages like SQL and Python, and advanced degrees such as a master's in data science or business analytics are common requirements. Developing strategic thinking, project management skills, and a proven track record of leading analytics teams are essential for advancement to this senior role.

How much does a director of data visualization make?

A director of data visualization typically earns between $100,000 and $180,000 annually, depending on experience, industry, and location. They often oversee teams, develop data presentation strategies, and require strong skills in tools like Tableau or Power BI.

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

A Director of Data Visualization requires expertise in data analysis, visualization principles, and a background in statistics or computer science, often supported by a relevant degree. Proficiency with visualization tools such as Tableau, Power BI, D3.js, and familiarity with database systems are essential, and certifications in these platforms are advantageous. Strong leadership, communication, and storytelling skills help translate complex data into actionable insights for diverse stakeholders. These competencies are crucial for driving data-driven decision-making and effectively communicating strategic information across an organization.

What are the 5 C's of data visualization?

The 5 C's of data visualization are clarity, context, conciseness, consistency, and credibility. These principles help a data visualization professional, such as a Director of Data Visualization, create effective and trustworthy visual representations of data by ensuring they are easy to understand, relevant, succinct, uniform, and accurate.

What does a Director of Data Visualization do?

A Director of Data Visualization oversees the design, development, and implementation of data visualization strategies within an organization. They lead teams that transform complex data sets into clear, actionable visual formats to support decision-making. This role often involves collaborating with data scientists, analysts, and business leaders to ensure visualizations meet organizational goals and communicate insights effectively. Additionally, they may set best practices, choose visualization tools, and guide the overall data storytelling approach.
What are the most commonly searched types of Data Visualization jobs in Boston, MA? The most popular types of Data Visualization jobs in Boston, MA are:
What cities near Boston, MA are hiring for Director Data Visualization jobs? Cities near Boston, MA with the most Director Data Visualization job openings:
Director Data Visualization jobs near you
Scientific Co-Director, Data Science and Multimodal Integration

Scientific Co-Director, Data Science and Multimodal Integration

Massachusetts Institute of Technology

Cambridge, MA

Full-time

Posted 27 days ago

Massachusetts Institute Of Technology rating

8.8

Company rating: 8.8 out of 10

Based on 39 frontline employees who took The Breakroom Quiz

39th of 553 rated colleges and universities

Job description

Posting Description

SCIENTIFIC CO-DIRECTOR, DATA SCIENCE AND MULTIMODAL INTEGRATION (DSMI), Koch Institute (KI)

Koch Institute (KI) to direct the development and deployment of advanced data science and AI/ML methodologies in the KI community. This co-leader will maintain current understanding of data analyses and multimodal integration methods and develop novel methods leading to expanded DSMI services; review DSMI staff research output and direct deployment of new techniques; and significantly contribute to publications and grant applications. The leader will direct preparation of presentations for the community, lead development and presentation of training materials, and participate in mentorship activities.

Job Requirements

REQUIRED : Ph.D. in computer science, computational biology, data science, or a related field with a strong emphasis on AI/ML applications; a minimum of seven years postdoctoral or equivalent research experience applying AI, machine learning (ML), and deep learning (DL) techniques to biological data; experience must include evidence of original or collaborative scholarship documented by publications, software, or deployed intelligent systems; demonstrated expertise in statistical learning, ML, DL computer vision, and NLP methods applied to omics, imaging, and clinical datasets; programming skills with experience in ML/DL frameworks; data visualization and EDA expertise; multi-modal data integration and representation learning across diverse data types; and shared resource and leadership or supervisory experience.

PREFERRED : Experience with data governance, FAIR principles, and regulatory compliance; knowledge of explainable AI (XAI) techniques and their application in biomedical contexts; experience with federated learning or other advanced AI paradigms; experience integrating AI models into pipelines; and familiarity with biomedical ontologies, knowledge graphs, or semantic data integration.

3/3/2026

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