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Data Visualization Manager Jobs in Ohio (NOW HIRING)

SierTeK proudly serves our clients by providing expertise in the Program Management, Information Technology, and Administrative Support domains. Founded in 2007 as a minority and service-disabled ...

Serve as a functional and technical data visualization and business intelligence subject matter ... Document data acquisition, data management, and data governance processes. * Promote data ...

Serve as a functional and technical data visualization and business intelligence subject matter ... Document data acquisition, data management, and data governance processes. * Promote data ...

Data Analyst

Mason, OH · On-site +1

They work with large datasets, employing statistical methods, data visualization techniques, and ... relational databases, SQL, and database management systems - Experience with database ...

Showing results 21-40

Data Visualization Manager information

See Ohio salary details

$51.3K

$104.1K

$153.5K

How much do data visualization manager jobs pay per year?

As of Aug 20, 2026, the average yearly pay for data visualization manager in Ohio is $104,054.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,600.00 and $116,900.00 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 are the most commonly searched types of Data Visualization jobs in Ohio?

The most popular types of Data Visualization jobs in Ohio are:

What job categories do people searching Data Visualization Manager jobs in Ohio look for?

The top searched job categories for Data Visualization Manager jobs in Ohio are:

What cities in Ohio are hiring for Data Visualization Manager jobs?

Cities in Ohio with the most Data Visualization Manager job openings:

Infographic showing various Data Visualization Manager job openings in Ohio as of August 2026, with employment types broken down into 90% Full Time, 9% Part Time, and 1% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $104,054 per year, or $50 per hour.

Data Visualization Engineer - Advanced Engineering

Kaiser Aluminium

Heath, OH • On-site

Full-time

Re-posted 10 days ago


Job description

Kaiser Aluminum is known around the world for its superior quality. Our secret is what we put into it-innovative thinking, industry-leading reliability, and a world-class commitment to customer service. In short, the same qualities we look for in our people.We are looking for aManufacturing Data Visualization Engineer to join our Advanced Engineering team inNewark Ohio or Kalamazoo Michigan!

"Engineers and scientists who develop software to solve real world manufacturing problems."

Kaiser Aluminum is seeking a Manufacturing Data Visualization Engineer to improve operational performance by turning manufacturing and production data into clear, practical visualizations for operators, supervisors, and engineers. As a member of the Intelligent Factory Team, this role develops and maintains near real-time dashboards, performance boards, and decision-support tools that support safe, consistent, and data-driven execution across the value stream.

The successful candidate will combine strong software and visualization skills with a practical understanding of industrial operations to deliver user-centered tools that improve situational awareness, adherence to standard work, escalation response, and continuous improvement outcomes.

Visualizations are built reusing Kaiser's Intelligent Factory Solution (IFS) architecture. The software stack includes Microsoft SQL, MongoDB and Inductive Logic Historian for data storage; deviceWISE as the configurable middleware transport layer, Inductive Automation Ignition (Python and Java) as UI along with programmable logic controllers. Candidates will understand and support the architecture, software, and continued product evolution at Kaiser Aluminum's North American facilities.

What you will work on:

  • Design, develop, and maintain standard dashboards that clearly communicate equipment status, process conditions, production progress, quality indicators, and constraints in a near real-time format
  • Translate plant operating needs into intuitive visual elements (e.g., status states, trends, thresholds, alerts, control limits, and "at-a-glance" health indicators)
  • Partners with operations leaders and subject matter experts to define standard visualization patterns (e.g., common layouts, naming, color conventions, alarm prioritization, and KPI definitions) to drive consistent interpretation across manufacturing lines and shifts
  • Implement visual management tools for daily management routines (shift handoff, tier meetings, performance boards, escalation cues, action tracking)
  • Build and support standardized reporting and visualization for KPIs such as OEE components, throughput, downtime categorization, yield/scrap, rework, cycle time, schedule attainment, and other plant-defined metrics
    • Operators (simple, actionable, immediate)
    • Supervisors/engineers (trends, comparisons, Pareto views, drill-down)
  • Collaborate on visualization design such that existing best practices are reused
  • Develop reusable visualization components and templates so new areas/lines can be enabled quickly with minimal custom development
  • Develop and maintain data access utilities and curated interfaces (e.g., standardized queries, semantic layers, pre-defined extracts, governed KPI definitions) that allow users to retrieve the right information without needing deep technical skills
  • Collaborate with data engineering / OT / IT resources to ensure visualization tools are built on trusted, governed data sources while minimizing duplication or manual workarounds
  • Provide documentation, training, and user guidance to support adoption and sustained use of visualization tools
  • Ensure dashboards and visualization tools are reliable, performant, and maintainable (version control, change management, release notes)
  • Maintain alignment with cybersecurity, access control, and data governance requirements
  • Strong working knowledge of data structures and querying (e.g., SQL, time-series concepts), with the ability to work effectively with historians and operational datasets
  • Ability to translate ambiguous user needs into clear visualization requirements, then deliver usable tools in iterative releases

What you will bring to the position:

  • Bachelor's degree in Software Engineering, Computer Science, Industrial Engineering, or related discipline; or equivalent experience
  • Five years' visualization development experience, preferably in manufacturing or industrial settings
  • Minimum three to five (3-5) years of experience working with process engineers/business analysts to translate functional requirements into technical requirements and making architectural decisions
  • Competent with T-SQL and database theory and structures
  • Demonstrated experience with Python; Java is a plus
  • Basic knowledge in networking and client-server transactions
  • Broad contemporary understanding of information technologies and trends
  • Demonstrated experience with MBSE and documentation, sysML or like
  • Strong communications skills with ability to clearly articulate, collaborate and substantiate recommendations with team and illustrate and propose design concepts prior to software construction
  • Ability to produce high quality, well documented, thoroughly tested, and efficient applications and reports
  • Ability to work incrementally and comfortable with collaboration and peer review
  • Use Software Development Lifecycle (SDLC) to incrementally evolve a system in phases
  • Proven ability to manage concurrent development tasks
  • Excellent problem solving, investigative, experimental, and statistical analysis skills
  • Manufacturing experience is a plus. Exposure to Digital Twins a plus

Work environment in the plant:

  • Approximately 90% of the job function is performed in an office setting requiring normal safety precautions, while 10% of the job function is in the plant, however this may vary by project. There is exposure to operating machinery and a manufacturing environment
  • Travel may be required, on average not exceeding 15% of the time and is project driven

No third-party candidate submissions are being accepted at this time for this opening.

We are an equal opportunity employer. All applicants will be considered based on job-related qualifications and abilities. There shall be no discrimination on the basis of age, race, color, religion, sex, sexual orientation, gender identity, gender expression, national origin, veteran, or disability status.

About Kaiser Aluminum: Talented people join our team because we are a company passionate about environmental sustainability, employee growth, contributing back to our communities and championing an inclusive culture.