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Data Visualization Manager Jobs in Illinois (NOW HIRING)

GE Healthcare

Data Visualization Architect

Chicago, IL · On-site

$65.75 - $84.50/hr

Summary We're looking for a Data Visualization Architect who is passionate about turning data into ... Identify risks early, manage priorities, and ensure high-quality outcomes * Serve as a Power BI ...

Orison

Data Support and Visualization Lead

Chicago, IL · On-site

$125K/yr

Manage incidents, change requests and service requests pertaining to data reporting and visualization, ensuring timely and efficient delivery. * Develop and maintain comprehensive documentation for ...

Leidos

Data Analytics & Visualization Engineer

Shiloh, IL · On-site

$106K - $128K/yr

The Leidos Digital Modernization Group seeks a Data Analytics & Visualization Engineer for the Global Solution Management - Operations II (GSM-O II) contract, under the Global Automations ...

Leidos

Data Analytics & Visualization Engineer

Shiloh, IL · On-site

$106K - $128K/yr

The Leidos Digital Modernization Group seeks a Data Analytics & Visualization Engineer for the Global Solution Management - Operations II (GSM-O II) contract, under the Global Automations ...

BMO U.S.

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

... visualization by identifying trends and patterns to transform raw data into actionable business insights. • Works with different teams, management and stakeholders to enhance the usability and ...

C3EL

IL · On-site

ServiceNow Visualization & CM Analyst Security Clearance: Secret Location : Scott AFB, IL (Due to ... You will investigate and resolve data integrity issues within the Configuration Management Database ...

Bank of Montreal

Manager, Data & Analytics

Chicago, IL · On-site

$74K - $138K/yr

Collaborate with the Sr. Manager and analytics team to improve data workflows and efficiency ... Researches and applies continuous improvement in data visualization by identifying trends and ...

BMO Capital Markets

Data Engineer

Chicago, IL · On-site

$74K - $138K/yr

... visualization by identifying trends and patterns to transform raw data into actionable business insights. * Works with different teams, management and stakeholders to enhance the usability and ...

Bank of Montreal

Data Engineer

Chicago, IL · On-site

$74K - $138K/yr

... visualization by identifying trends and patterns to transform raw data into actionable business insights. * Works with different teams, management and stakeholders to enhance the usability and ...

BMO Financial

Data Engineer

Chicago, IL · On-site

$74K - $138K/yr

... visualization by identifying trends and patterns to transform raw data into actionable business insights. * Works with different teams, management and stakeholders to enhance the usability and ...

TriOptus LLC

Data Analyst - IT III

Chicago, IL · On-site

... visualization. • Develop insightful dashboards that management can use to produce informed business decisions • Understand data and apply available tools to solve evolving business problems ...

Caterpillar Inc.

Data Scientist

Chicago, IL · On-site

... to management using data visualization technologies. • Conducting research on data model optimization and algorithms to improve effectiveness and accuracy on data analyses. Qualifications

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Data Visualization Manager information

See Illinois salary details

$52.3K

$106.1K

$156.5K

How much do data visualization manager jobs pay per year?

As of Jul 7, 2026, the average yearly pay for data visualization manager in Illinois is $106,060.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,200.00 and $119,200.00 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 Illinois? The most popular types of Data Visualization jobs in Illinois are:
What are popular job titles related to Data Visualization Manager jobs in Illinois? For Data Visualization Manager jobs in Illinois, the most frequently searched job titles are:
What job categories do people searching Data Visualization Manager jobs in Illinois look for? The top searched job categories for Data Visualization Manager jobs in Illinois are:
What cities in Illinois are hiring for Data Visualization Manager jobs? Cities in Illinois with the most Data Visualization Manager job openings:
Data Visualization Manager jobs near you
Manager, Data Engineering- Data Visualization (Remote)

Manager, Data Engineering- Data Visualization (Remote)

Inspira Financial

Oak Brook, IL • On-site, Remote

Full-time

Posted 2 days ago

Inspira Financial rating

7.2

Company rating: 7.2 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

Job description

The Data Engineering Manager - Enterprise Data Visualization will report to the Sr. Director, Data Engineering in the Technology Department. This role will engage with Business Leaders, Analysts, Data Stewards, Application Architects, and third-party providers. This role will lead an agile team of Data Engineers that work to enhance data delivery, quality, accessibility, and analysis. This role will improve functionality, streamline data processes, provide direct support to the business and operational teams, and strengthen targeted business strategies. The role works closely with the Business, Operations and Technology groups to help design and lead the development and maintenance of the Enterprise Reporting Platform.
If you are ready to advance your career and contribute to a rapidly growing company dedicated to delivering innovative products and ensuring an exceptional client experience, we eagerly await your application!
Duties & Responsibilities:
  • Lead an agile team of data engineers with varying levels of experience in the delivery of enterprise data initiatives.
  • Oversee the creation of data visualizations including enterprise dashboards, analytical, and operational reporting.
  • Partner with business leadership to implement 3-5-year plan for area of responsibility.
  • Manage multiple concurrent projects.
  • Define and establish benchmarks, metrics, and quality measures.
  • Support disaster recovery and contingency planning.
  • Ensure solutions meet non-functional requirements, including security, performance, maintainability, scalability, usability, and reliability.
  • Effectively manage relevant 3rd party vendor relationships.
  • Support the stability and resiliency of Data Visualization production processes, as well as instituting a robust support model addressing process and application failures.
  • Understand the business and technology.
  • Drive process alignment with business partners.
  • Identify project team requirements and capital requirements.
  • Evaluate and integrate productivity tools, development tools, testing tools, databases, and applications into this architecture.
  • Work with the leaders of Technology Infrastructure and Software Engineering to ensure effective operational tools and procedures are in place to support the application architecture.
  • Research and strategize emerging technologies relevant to business needs.
  • Develop and document an overall enterprise reporting delivery architecture which is fit for business purposes and cost effective.

Supervisory Responsibilities:
  • Recruits, interviews, hires, and trains new staff.
  • Oversees the daily workflow of the department.
  • Provides constructive and timely performance evaluations.
  • Participate in budget planning and monitoring.

Education & Experience:
  • 10+ years of experience in Data Engineering, Data Visualization, or Software Product Development
  • Bachelor's degree preferred in Computer Science, Computer Engineering, Software Engineering, Electrical/Electronic Engineering, Mathematics, Statistics, Data Science, or similar/related Engineering/Science based disciplines
  • 1-3 years of leadership experience managing direct reports
  • Tableau Certifications are preferred
  • Microsoft Certified Azure Data Fundamentals preferred
  • Snowflake SnowPro Certification preferred

Skills & Abilities:
  • Strong understanding of Programming Skills. While not expected to perform day-to-day code development, the Data Engineering Manager is expected to be knowledgeable and practiced in programming languages such as SQL/T-SQL, Python
  • Data / Database Skills: Competence with relational and NoSQL databases (e.g., SQL Server, MongoDB) including proficiency with Data Definition Languages, Data Mark-Up Languages
  • Participate in design and implementation of OLAP databases to serve internal and external consumer use cases
  • Design and implement hybrid data cloud services, leveraging public could providers (i.e., Azure) and specialty providers (i.e., Snowflake)
  • Understand and implement Generative AI solutions within the context of developer assistance and data visualization product delivery
  • Support the development of enterprise data visualization strategy ensuring rapid delivery while taking responsibility for applying standards, principles, theories, and concepts
  • Support enterprise data governance initiatives
  • Strong experience in working with and optimizing enterprise reporting
  • Exceptional analytical skills and strong attention to detail
  • Ability to prioritize, plan and take initiative
  • Highly self-motivated and directed
  • Experience in a high availability environment preferred
  • Knowledge of ITIL/ITSM Foundational practices and framework preferred
  • Strong Vendor management skills preferred
  • Strong understanding of Salesforce Financial Services Cloud data object model preferred
  • Data Engineering Tools/Platforms
    • Platform/Framework (Snowflake, Azure MSSQL)
    • Visualization (Tableau, PowerBI, SSRS)
    • Governance (Data.World, Atlan, Alation)
  • Problem-Solving and Analytical Skills: Data engineers must possess strong problem-solving abilities and the capacity to analyze complex technical challenges. They should be able to break down problems into manageable components and devise effective solutions
  • Software Product Development Lifecycle: Familiarity with the software development lifecycle (SDLC) is crucial. This includes understanding requirements gathering, system design, implementation, testing, deployment, and maintenance in an Agile/Scaled Agile manner. Experience with Scrum, Kanban, Extreme Programming, or other outcome based iterative development approach required
  • Knowledge of Development Tools and Frameworks: Data engineers should be proficient in using development tools and frameworks relevant to their domain. This can include version control systems (e.g., Git), integrated development environments (e.g., Visual Studio Code, IntelliJ), and frameworks specific to data platform development
  • Collaboration and Communication: Effective collaboration with cross-functional teams is vital for data engineers. Strong communication skills, both written and verbal, enable them to clearly express ideas, collaborate with colleagues, and convey technical concepts to non-technical stakeholders
  • Continuous Learning: The field of software engineering is constantly evolving, so a mindset of continuous learning is crucial. Staying updated with new technologies, programming languages, frameworks, and industry trends is highly valued
  • Testing and Debugging: Proficiency in automated software testing techniques, including unit testing, integration testing, and debugging, is important for ensuring the reliability and quality of software applications
  • Knowledge of Security Best Practices: Strong understanding of secure coding practices and the ability to apply them effectively in software development. Ability to implement security controls, conduct code reviews, and perform security-focused testing, ensuring adherence to industry standards and minimizing the risk of potential exploits
  • Compliance: Familiarity with regulatory compliance requirements and industry-specific security standards, such as GDPR, HIPAA, PCI-DSS, and ISO 27001. Ability to design and implement software solutions that meet these compliance standards, ensuring the protection of sensitive data and maintaining regulatory compliance
  • System Design and Architecture: Data engineers should have a solid understanding of data platform system design principles and architecture patterns. This includes scalability, performance optimization, and the ability to design robust and efficient software systems
  • Adaptability and Flexibility: Data engineers often encounter changing requirements, tight deadlines, and evolving technologies. Being adaptable, flexible, and able to quickly learn and adapt to new tools and frameworks is crucial

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