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Data Visualization Manager Jobs in Tennessee (NOW HIRING)

... data visualization best practices A career at SEI extends well beyond providing great service and thought leadership to our clients. Everyone takes an active role in building and managing our ...

Data Analyst Senior

Only, TN · Hybrid

$79K - $115K/yr

... visualization, and Business Intelligence tools, such as Tableau. - Strong proficiency with ... data to a variety of audiences. - Project management skills and/or experience are a plus ...

New

Maintain deep knowledge of data and insights tools available across the company and manage ... Experience with data visualization tools such as Looker, Tableau, DOMO, or similar platforms to ...

... management experience (REDCap preferred) • Data visualization and technical writing experience • Strong communication and stakeholder engagement skills

As a Manager, Strategy, Growth, and Transformation on the M&A team, you will be a key member ... Experience designing and storytelling via data visualization (e.g., Tableau, Power BI, Excel Charts ...

We are searching for candidates interested in learning more about Data Visualization and are ... Candidates should be at least a Senior or pursuing graduate-level work in Management Information ...

Expertise with at least one data visualization tool, preference: PowerBI. Proficiency in Machine ... Familiarity with MLflow for experiment tracking and model management. Proficiency in working with ...

Expertise with at least one data visualization tool, preference: PowerBI. Proficiency in Machine ... Familiarity with MLflow for experiment tracking and model management. Proficiency in working with ...

Showing results 41-60

Data Visualization Manager information

See Tennessee salary details

$49K

$99.3K

$146.6K

How much do data visualization manager jobs pay per year?

As of Aug 13, 2026, the average yearly pay for data visualization manager in Tennessee is $99,339.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,700.00 and $111,600.00 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 Tennessee? The most popular types of Data Visualization jobs in Tennessee are:
What job categories do people searching Data Visualization Manager jobs in Tennessee look for? The top searched job categories for Data Visualization Manager jobs in Tennessee are:
Infographic showing various Data Visualization Manager job openings in Tennessee as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 13% Part Time, and 2% Contract. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution, with an average salary of $99,339 per year, or $47.8 per hour.

Data and Analytics Consultant

SEI

Nashville, TN • On-site

Full-time

Re-posted 29 days ago


Job description

WHO WE LOOK FOR
An SEI-er is a master communicator and active listener who understands how to navigate an audience. Self-aware, almost to a fault, SEI-ers keenly understand how to adjust their support and problem solving based on the situation. Following a logical, fact-based approach, SEI-ers possess the superior ability to see correlations others may not, ask the right questions and drive solutions.
As super-connectors, they connect not only people, but data, trends and experiences. Mature, humble, and genuine, SEI-ers frequently go above and beyond for both their clients and their colleagues. SEI-ers are ethical and trustworthy individuals who consistently and repeatedly follow through, and hold true to their values in difficult situations. SEI-ers have an insatiable curiosity and love to learn. These individuals are commonly tech savvy and early adopters. Their passion for learning is infectious and excites others. As every project is different, an SEI-er must be adaptable and comfortable with unexpected situations. SEI-ers define ambition differently. They are authentic, low-maintenance individuals who truly enjoy one another- they like to hang out with colleagues outside of work, collaborate and hold one another accountable. SEI-ers enjoy working with genuine, thoughtful folks who want to steer clear of the traditional grind and share the joy of day-to-day life and activities with colleagues, friends, and family.
WHAT WE DO
Our Data and Analytics consultants work with clients at all levels of the organization, from the C-suite to the shop floor, helping them to deliver on their most strategic initiatives. We're known for making realistic, data-driven decisions that deliver value in tangible ways to our clients. Our clients ask for us on projects that require a superior combination of technical and business capabilities, people and management skills, and a collaborative mindset. We excel in understanding complex programs and strategic initiatives and breaking them into actionable pieces.
We are actively looking for professionals in the following areas:
  • Data Strategy
  • Data Governance
  • Data Modernization
  • Advanced Analytics
  • Data Visualization

The ideal candidate's experience may include but is not limited to the following:
  • Have experience understanding and solving real business problems
  • Have experience with presenting business case and strategy to the C-Suite
  • Bring industry domain knowledge for custom data and analytics strategies
  • Experience in designing and implementing data driven products and services
  • Experience in designing and building high performance collaborative business and technology teams that deliver high value data solutions, data products and data analytics

Ideal candidates may call themselves Data Architects, Data Engineers, Data Scientists, Analysts and Data Governance professionals. Experience may include but not limited to the following:
Data Strategy and Governance
  • Intimately familiar with data technologies, data architecture frameworks, cloud platforms and the emerging trends in technological advancements.
  • Proven experience in transforming our clients from on-prem data platforms to the cloud.
  • Lead data modernization initiatives that include platform, technology and tools implementation and adoption.
  • Must have experience in architecting and implementing data architecture, data engineering, reporting and analytical solutions across multiple business functions and domains.
  • Conduct data management maturity assessments and identify pain points for including data quality, governance, architecture, analytics, metadata management, master data management.
  • Demonstrate a rigorous and analytical problem-solving approach, leading information-gathering sessions and preparing and delivering client presentations and work products/prototypes.
  • Identify data governance gaps and assess data governance maturity in a complex data environment. Should also be able to Identify the implications for data governance that arise from the technology, current processes, and skill levels in a complex data environment.

Data Architecture and Engineering
  • Extensive experience or knowledge of cloud-based data platform technologies such as AWS, Microsoft Azure or Google Cloud Computing.
  • Experience designing and building data platforms that support data lakes, data stores, data ingestion and transformations and API services for consuming data
  • Ability to design and build complex data pipelines that either stream data in
  • Experience and knowledge of programming and scripting languages, such as but not limited to Python, Node.JS and SQL
  • Experience and knowledge of data integration tools and platforms
  • Experience and knowledge of relational and dimensional database structures, theories, principles, and practice used in data warehousing and analytics solutions
  • Ability to design and build data models using the appropriate technics to meet business objectives
  • In depth knowledge of modern data technologies including Snowflake, RedShift, Azure SQL/Synaspe, Databricks or similar technologies.

Advanced Analytics and Data Visualizations
  • Extensive experience or knowledge of data visualization technologies such as Tableau, Power BI, Qlik and Spotfire
  • Experience with statistical and mathematical modeling, artificial intelligence and machine learning software and methods
  • Experience and knowledge of programming and scripting languages such as, but not limited to, SQL, Python and R
  • Experience with data modeling, data prep and machine learning tools like Alteryx, RapidMinder, RStudio and Tableau Prep
  • Experience and knowledge of relational and dimensional database structures, theories, principles, and practice used in data warehousing and analytics solutions
  • Experience deploying enterprise-wide reporting solutions while leveraging data visualization best practices

A career at SEI extends well beyond providing great service and thought leadership to our clients. Everyone takes an active role in building and managing our business, in an environment that runs counter to traditional consulting firms. Our consultants have a "seat at the table" and contribute to growing our business in ways that align to their interests such as growing business development opportunities, conducting interviews to support our hiring process, managing internal initiatives that build our brand or organizing trainings to share what you know with your colleagues. There is no telling what an SEI Consultant will be asked to do on a day-to-day basis - we do what it takes to get the job done.
QUALIFICATIONS
Required-
  • Alignment to our core values: Excellence, Participation, Integrity and Collaboration
  • Hungry, Humble, Smart
  • Demonstrated business and technology acumen
  • Strong written and verbal communication skills
  • Understanding and experience solving real business problems
  • Proven track record of delivering results
  • Experience working with and/or leading a team
  • Ability to work across industries, roles, functions & technologies
  • Authorization for permanent employment in the United States (this position is not eligible for immigration sponsorship)

Preferred-
  • Bachelor's degree
  • 8+ years professional experience
  • Experience across our service offerings

Systems Evolution, Inc. (SEI) is an equal opportunity employer (EOE) and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law