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Data Visualization Manager Jobs in Tennessee (NOW HIRING)

AI and Data Science Engineer III

Nashville, TN · On-site

$110K - $132K/yr

As an AI Data Science Engineer III, you will work directly Human Capital product managers and ... visualization platforms). * Translate ambiguous business problems into structured analytical ...

Data Engineering Lead- Finance

Nashville, TN · On-site

$110K - $132K/yr

... Proactively manage data quality, error handling, monitoring, and alerting to ensure timely and ... visualization is a plus. • Experience working with or coordinating with overseas teams is a ...

Staffing optimization and labor cost management * Quality measures and performance benchmarks ... Experience with data visualization tools (Tableau, Power BI, Looker) * Understanding of healthcare ...

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

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

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

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

Strong expertise in Python, R, SQL, and data visualization tools (Power BI, Tableau). * Strong ... Strong project management skills, including scoping, planning, and risk mitigation. * Ability to ...

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

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

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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 Jun 12, 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:
AI and Data Science Engineer III

AI and Data Science Engineer III

Deloitte

Nashville, TN • On-site

$110K - $132K/yr

Other

Posted 12 days ago


Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

58th of 138 rated financial services


Job description

AI Data Science Engineer III

Our Deloitte Human Capital team transforms technology platforms, drives innovation, and helps make a significant impact on our clients' success. We are hiring a Senior Consultant in Data Science to join our Human Capital practice and help shape the future of workforce analytics. In this role, you will build and design and deliver data-driven products and solutions that drive measurable impact clients. You will be part of a collaborative, multidisciplinary team that brings together data science, human capital strategy, and technology to advance what's possible for our clients.

This role is hands-on and delivery-oriented: you will design, build, and implement reusable analytics products and assets that extend our Human Capital service offerings.

Recruiting for this role ends on August 30, 2026

Work You'll Do:

As an AI Data Science Engineer III, you will work directly Human Capital product managers and clients to design and deliver data-driven workforce and human capital analytics solutions, owning end-to-end solutions from data modeling to stakeholder presentations. You will build dashboards, reports, and reusable analytics products, turning complex human capital data into clear, actionable insights.

Key Responsibilities:

  • Lead the design, development, and delivery of analytics solutions that address complex workforce and human capital challenges for clients across industries.
  • Build and maintain scalable data pipelines, dashboards, and reporting frameworks using SQL and Tableau (or equivalent visualization platforms).
  • Translate ambiguous business problems into structured analytical approaches, communicating findings and recommendations clearly to both technical and non-technical stakeholders.
  • Collaborate across service lines to embed AI-enabled capabilities and emerging data methodologies into client solutions.
  • Support business development efforts including proposals, client presentations, and thought leadership content.
  • Design and deliver intuitive, executive-ready reports and dashboards that make complex workforce data accessible and actionable.
  • Apply economic and statistical reasoning to interpret workforce trends, model scenarios, and support evidence-based decision-making.

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to provide clear guidance to others

The Team

HC Forward is a dedicated innovation partner accelerating the future of Human Capital by building market-aligned products, platforms, and services that apply AI, data, and engineering to modernize HR experiences and outcomes.

Required Qualifications:

  • Bachelor's degree in a STEM field (e.g., Computer Science, Engineering, Statistics, Data Science)
  • 4+ years of experience in data science, analytics, or a related field - with direct experience in client-facing or consulting environments.
  • 4+ years of demonstrated proficiency in SQL for data extraction, transformation, and analysis across relational databases.
  • 4+ years of demonstrated proficiency in Python or R for statistical modeling and data wrangling.
  • 4+ years of hands-on experience with data visualization tools such as Tableau, Power BI, or equivalent platforms.
  • 4+ years of building analytics solutions end-to-end: from data ingestion and modeling to visualization and stakeholder presentation.
  • Ability to travel 0-25%, on average, based on client and project needs.
  • Limited immigration sponsorship may be available

Preferred Qualifications:

  • Advanced degree (MS/PhD) and/or relevant certifications (data science and AI/ML).
  • Experience working with workforce, HR, or human capital data (e.g., headcount, attrition, compensation, organizational network analysis).
  • AI fluency and familiarity with machine learning concepts, large language model applications, or AI-augmented analytics workflows.
  • Economics background or acumen, with the ability to apply labor market economics principles to workforce problems.
  • Experience in analytics product development - building repeatable tools, models, or platforms rather than one-off deliverables.
  • Proficiency in Python or R for statistical modeling and data wrangling.
  • Strong communication skills with the ability to convey complex analytical insights to diverse audiences.

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $122,000 to $240,500.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Qualifications:

AI Data Science Engineer III

Our Deloitte Human Capital team transforms technology platforms, drives innovation, and helps make a significant impact on our clients' success. We are hiring a Senior Consultant in Data Science to join our Human Capital practice and help shape the future of workforce analytics. In this role, you will build and design and deliver data-driven products and solutions that drive measurable impact clients. You will be part of a collaborative, multidisciplinary team that brings together data science, human capital strategy, and technology to advance what's possible for our clients.

This role is hands-on and delivery-oriented: you will design, build, and implement reusable analytics products and assets that extend our Human Capital service offerings.

Recruiting for this role ends on August 30, 2026

Work You'll Do:

As an AI Data Science Engineer III, you will work directly Human Capital product managers and clients to design and deliver data-driven workforce and human capital analytics solutions, owning end-to-end solutions from data modeling to stakeholder presentations. You will build dashboards, reports, and reusable analytics products, turning complex human capital data into clear, actionable insights.

Key Responsibilities:

  • Lead the design, development, and delivery of analytics solutions that address complex workforce and human capital challenges for clients across industries.
  • Build and maintain scalable data pipelines, dashboards, and reporting frameworks using SQL and Tableau (or equivalent visualization platforms).
  • Translate ambiguous business problems into structured analytical approaches, communicating findings and recommendations clearly to both technical and non-technical stakeholders.
  • Collaborate across service lines to embed AI-enabled capabilities and emerging data methodologies into client solutions.
  • Support business development efforts including proposals, client presentations, and thought leadership content.
  • Design and deliver intuitive, executive-ready reports and dashboards that make complex workforce data accessible and actionable.
  • Apply economic and statistical reasoning to interpret workforce trends, model scenarios, and support evidence-based decision-making.

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to provide clear guidance to others

The Team

HC Forward is a dedicated innovation partner accelerating the future of Human Capital by building market-aligned products, platforms, and services that apply AI, data, and engineering to modernize HR experiences and outcomes.

Required Qualifications:

  • Bachelor's degree in a STEM field (e.g., Computer Science, Engineering, Statistics, Data Science)
  • 4+ years of experience in data science, analytics, or a related field - with direct experience in client-facing or consulting environments.
  • 4+ years of demonstrated proficiency in SQL for data extraction, transformation, and analysis across relational databases.
  • 4+ years of demonstrated proficiency in Python or R for statistical modeling and data wrangling.
  • 4+ years of hands-on experience with data visualization tools such as Tableau, Power BI, or equivalent platforms.
  • 4+ years of building analytics solutions end-to-end: from data ingestion and modeling to visualization and stakeholder presentation.
  • Ability to travel 0-25%, on average, based on client and project needs.
  • Limited immigration sponsorship may be available

Preferred Qualifications:

  • Advanced degree (MS/PhD) and/or relevant certifications (data science and AI/ML).
  • Experience working with workforce, HR, or human capital data (e.g., headcount, attrition, compensation, organizational network analysis).
  • AI fluency and familiarity with machine learning concepts, large language model applications, or AI-augmented analytics workflows.
  • Economics background or acumen, with the ability to apply labor market economics principles to workforce problems.
  • Experience in analytics product development - building repeatable tools, models, or platforms rather than one-off deliverables.
  • Proficiency in Python or R for statistical modeling and data wrangling.
  • Strong communication skills with the ability to convey complex analytical insights to diverse audiences.

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $122,000 to $240,500.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Education:Bachelor's DegreeEmployment Type:

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