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Data Visualization Manager Jobs in Burlington, NC

Presentation Skills Tutor

Greensboro, NC ยท Remote

$18 - $40/hr

... best practices, data visualization, audience engagement strategies, delivery techniques, and ... managing Q&A sessions, and adapting presentations for virtual platforms. Emphasizes connecting ...

... management, including slide preparation, data visualization, and supporting analysis required for strategy reviews and leadership offsites. Conduct desktop research on industry trends, adjacent ...

The role also works closely with DTNA's Corporate Quality Management team, DTSV Operations Quality ... Advanced Microsoft Office and data visualization skills. * Lean/Six Sigma certification or ...

Showing results 41-60

Data Visualization Manager information

See Burlington, NC salary details

$45.1K

$91.4K

$134.8K

How much do data visualization manager jobs pay per year?

As of Sep 4, 2026, the average yearly pay for data visualization manager in Burlington, NC is $91,366.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,100.00 and $102,700.00 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 job categories do people searching Data Visualization Manager jobs in Burlington, NC look for?

The top searched job categories for Data Visualization Manager jobs in Burlington, NC are:

What cities near Burlington, NC are hiring for Data Visualization Manager jobs?

Cities near Burlington, NC with the most Data Visualization Manager job openings:

Associate Director for Institutional Research and Enterprise Data Governance

The University of North Carolina

Greensboro, NC โ€ข On-site

$90 - $120/hr

Other

Posted 14 days ago


Key responsibilities

  • Oversee institutional research, external reporting, survey coordination, and applied analytics functions.

  • Manage and advance enterprise data governance practices, including data stewardship, definitions, quality, and workflows.

  • Contribute to complex research projects, reporting efforts, survey submissions, and analytical studies, while translating data into insights for stakeholders.


Job description

Associate Director for Institutional Research and Enterprise Data Governance

Functional Title Associate Director for Institutional Research and Enterprise Data Governance

Position Type

Position Type Staff

Position Eclass

Position Eclass EP - EHRA 12 mo leave earning

University Information

Located in North Carolinaโ€™s third largest city, UNC Greensboro is among the most diverse, learner-centered public research universities in the state, with 18,000 students in eight colleges and schools pursuing more than 150 areas of undergraduate and over 200 areas of graduate study. UNCG continues to be recognized nationally for academic excellence, access, and affordability. UNCG is ranked No. 1 most affordable institution in North Carolina for net cost by the N.Y. Times and No. 1 in North Carolina for social mobility by The Wall Street Journal โ€” helping first-generation and lower-income students find paths to prosperity. Designated an Innovation and Economic Prosperity University by the Association of Public and Landโ€‘grant Universities, UNCG is a communityโ€‘engaged research institution with a portfolio of more than $67M in research and creative activity. The Universityโ€™s 2,600 staff help create an annual economic impact for the Piedmont Triad region in excess of $1B.

Primary Purpose of the Organizational Unit

The primary purpose of Institutional Research and Enterprise Data Management ( IREDM ) is to provide accurate, reliable, governed, and accessible data, analytics, and insights that support institutional decisionโ€‘making, compliance, accountability, and continuous improvement. IREDM integrates institutional research, reporting and visualization, data engineering and architecture, and enterprise data governance to ensure that the Universityโ€™s data ecosystem is aligned with strategic priorities, regulatory requirements, institutional standards, and best practices in higher education data management. Through collaboration with academic and administrative partners, IREDM promotes a culture of dataโ€‘informed decisionโ€‘making, transparency, shared accountability, and responsible data use across the institution. The Surveys, Research, and Analytics ( SRA ) function serves as the Universityโ€™s central resource for institutional research, external reporting, and survey coordination. SRA is responsible for managing state, federal, and external reporting requirements; administering national and systemโ€‘level surveys; and conducting applied research that examines student success, faculty and staff outcomes, enrollment trends, and institutional effectiveness. The Enterprise Data Governance ( EDG ) function supports the development, maintenance, and adoption of institutional data standards, definitions, stewardship/trustee practices, data quality processes, and governance workflows. EDG works with data owners, technical teams, and campus stakeholders to promote consistent data interpretation, improve trust in institutional data, and support responsible access to and use of University data. Together, these functions ensure that official institutional data are accurate, consistent, wellโ€‘defined, appropriately governed, and useful for planning, assessment, compliance, operational decisionโ€‘making, and strategic initiatives across the campus.

Position Summary

The Associate Director of Institutional Research and Enterprise Data Governance provides leadership for the Universityโ€™s traditional institutional research, external reporting, survey, applied analytics, and enterprise data governance functions. This role oversees the Surveys, Research, and Analytics and Enterprise Data Governance functions within IREDM . The position is responsible for managing state, federal, and external reporting; coordinating major institutional surveys; leading and contributing to applied research and analytical studies; and advancing enterprise data governance practices related to data stewardship, institutional definitions, data quality, data cataloging, governance workflows, and responsible data use.

In addition to supervising professional staff, the Associate Director serves as a working manager who actively contributes to complex institutional research projects, reporting efforts, survey submissions, analytical studies, and governance initiatives. The position plays a key role in translating institutional data into meaningful insights for campus leadership, academic units, administrative units, and external stakeholders, while also ensuring that institutional data are consistently defined, wellโ€‘governed, and aligned with University standards. This role collaborates closely with Reporting and Visualization, Data Engineering and Architecture, campus data stewards, and functional data owners to support a coordinated institutional data ecosystem that balances access, usability, compliance, quality, and accountability. This position is eligible for teleworking; however, some inโ€‘person assignments may be necessary at the supervisorโ€™s discretion.

Minimum Qualifications

  • Mid-career with Masters and one (1) โ€“ two (2) years experience; OR Bachelors and two (2) โ€“ four (4) years experience; OR The equivalent combination of education and experience.

Additional Required Certifications, Licensures, and Certificates

Preferred Qualifications

  • Masterโ€™s degree in Statistics, Institutional Research, Higher Education, Data Analytics, Social Science, Information Systems, Public Administration, or a related field and at least five years of progressively responsible experience in institutional research, higher education analytics, enterprise data governance, data management, or a comparable dataโ€‘driven environment; OR Bachelorโ€™s degree in Statistics, Institutional Research, Higher Education, Data Analytics, Social Science, Information Systems, Public Administration, or a related field and at least seven years of progressively responsible experience in institutional research, higher education analytics, enterprise data governance, data management, or a comparable dataโ€‘driven environment.
  • Demonstrated experience managing professional staff, teams, projects, or crossโ€‘functional initiatives, including responsibility for setting priorities, coordinating work, monitoring progress, and ensuring completion of deliverables.
  • Advanced knowledge of higher education data standards, institutional definitions, external reporting requirements, and institutional effectiveness practices, including experience with reporting such as IPEDS , Common Data Set, and systemโ€‘level submissions.
  • Strong analytical background, including experience with applied quantitative research methods, statistical analysis, data validation, and interpretation of complex data.
  • Demonstrated understanding of data governance concepts, including data stewardship, data definitions, data quality, data standards, documentation, data access, and responsible data use.
  • Proficiency in SAS , SQL , or comparable data query and analysis tools.
  • Experience with data visualization or business intelligence tools such as Power BI or Tableau.
  • Strong written and verbal communication skills, including the ability to present complex findings, methodologies, and governance concepts to technical and nonโ€‘technical audiences.
  • Ability to work collaboratively with academic, administrative, technical, and executive stakeholders.
  • Experience working with UNC System Office data, including Student, HR, Finance, or other systemโ€‘level data marts.
  • Experience conducting ROI , outcomes, policyโ€‘focused, student success, workforce, or program effectiveness research studies.
  • Experience with data governance platforms, data cataloging tools, data dictionaries, business glossaries, data quality tools, or stewardship workflows.
  • Familiarity with tools such as Data Cookbook, IDataHub, Microsoft Power BI, Azure Data Lake, Databricks, or similar enterprise data platforms.
  • Experience developing documentation, training materials, governance processes, or communication strategies that support responsible institutional data use.
  • Certified Data Management Professional ( CDMP ) certification or comparable professional certification related to data governance, data management, analytics, or institutional research.

Special Instructions to Applicants

Recruitment Range

Recruitment Range Salary commensurate with experience

Org #-Department

Job Open Date

Job Open Date 08/18/2026

For Best Consideration Date

Job Close Date

Open Until Filled Yes

FTE

FTE 1.000

Type of Appointment

Type of Appointment Permanent

If timeโ€‘limited, please specify end date for appointment.

Number of Months per Year

Number of Months per Year 12

FLSA

FLSA Exempt

________________________________________________________________________________________________________________________

Percentage Of Time

Percentage Of Time 40%

Key Responsibility

Provide leadership for the Universityโ€™s institutional research, external reporting, survey, and applied analytics functions while serving as a working manager who directly contributes to highโ€‘priority research, reporting, and analytical work.

  • Oversee state, federal, and external reporting processes, including IPEDS , UNC System Office submissions, and other regulatory, accountability, or external reporting requirements.
  • Oversee the administration and coordination of external surveys such as the Common Data Set, U.S. News, and other national, state, or systemโ€‘level surveys.
  • Ensure institutional data reported externally are accurate, consistent, timely, and aligned with official definitions, reporting methodologies, and institutional standards.
  • Lead and contribute directly to applied research and analytical projects related to enrollment, retention, graduation, equity, workforce outcomes, program effectiveness, institutional effectiveness, and strategic decisionโ€‘making.
  • Develop, review, and document analytical methods, reporting logic, assumptions, limitations, and data sources to support transparency, reproducibility, and institutional trust.
  • Translate complex findings into clear, actionable insights for campus leadership, academic units, administrative units, and external stakeholders.

Percentage Of Time

Percentage Of Time 40%

Key Responsibility

Provide leadership for the Universityโ€™s enterprise data governance function while serving as a working manager who directly contributes to governance processes, data quality efforts, data standards, documentation, and stewardship activities.

  • Lead and coordinate enterprise data governance processes related to institutional data definitions, data standards, data stewardship, data quality, data access, and responsible data use.
  • Work with data owners, data stewards, subject matter experts, technical teams, and campus stakeholders to clarify data definitions, resolve crossโ€‘functional data issues, and promote consistent interpretation of institutional data.
  • Support the development, maintenance, and adoption of institutional data assets such as data dictionaries, data catalogs, business glossaries, data lineage documentation, governance documentation, and data quality rules.
  • Coordinate data quality workflows, issue tracking, validation processes, stewardship review activities, and governanceโ€‘related documentation in collaboration with functional offices and technical teams.
  • Advance the use of governance tools and processes, including platforms such as Data Cookbook, IDataHub, or related institutional systems used to support definitions, quality rules, data requests, stewardship workflows, and governance documentation.
  • Promote campus awareness of data governance expectations, data quality responsibilities, official data sources, institutional definitions, and appropriate use of University data.

Percentage Of Time

Percentage Of Time 10%

Key Responsibility

Coordinate crossโ€‘functional work that connects institutional research, enterprise data governance, reporting and visualization, data engineering, and campus business processes to support a consistent and trusted institutional data ecosystem.

  • Serve as a bridge between institutional research, enterprise data governance, reporting and visualization, data engineering and architecture, and functional business areas.
  • Support alignment between official reporting definitions, governance standards, data models, dashboards, analytical products, and institutional decisionโ€‘making needs.
  • Partner with Reporting and Visualization and Data Engineering and Architecture to ensure that reporting products, data pipelines, and analytical outputs are supported by appropriate definitions, methodologies, documentation, and quality controls.
  • Identify opportunities to improve business processes, documentation, data quality, reporting consistency, and coordination across IREDM functions.
  • Represent IREDM in crossโ€‘functional projects where institutional research, analytics, data governance, reporting, data quality, and data infrastructure intersect.

Percentage Of Time

Percentage Of Time 10%

Key Responsibility

Develop staff, foster collaboration, and promote a serviceโ€‘oriented culture of accuracy, transparency, data quality, responsible data use, and continuous improvement.

  • Supervise, mentor, and support professional staff assigned to the Surveys, Research, and Analytics and Enterprise Data Governance functions.
  • Assign workloads, set priorities, monitor progress, evaluate performance, and ensure timely completion of highโ€‘quality deliverables.
  • Support professional development in institutional research, analytics, reporting, governance methods, data quality practices, and relevant technical tools.
  • Foster collaboration among campus data stewards, functional offices, and other University partners with IREDM staff/functions.
  • Promote a culture focused on accuracy, transparency, collaboration, service, shared accountability, and institutional impact.
ADA Checklist

ADA Checklist

R for Rare (0-30%), O for Occasional (30-60%), F for Frequent (60-90%), C for Constant (90-100%).

Physical Effort

Physical Effort Hand Movement-Repetitive Motions - O, Holding - O, Finger Dexterity - O, Reading - F, Writing - F, Vision-Preparing/Analyz