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Data Visualization Manager Jobs in Illinois (NOW HIRING)

Data Engineer

Chicago, IL ยท On-site

$118K - $141K/yr

This person will be responsible for building and managing an array of data acquisition services ... visualization โ€ข Understanding of the healthcare industry โ€ข Azure, Google, AWS or other cloud ...

Experience with data visualization tools like Tableau or Power BI. * Analytical/ Decision Making Responsibilities * Analytical ability to manage multiple projects and prioritize tasks into manageable ...

Experience with data visualization tools like Tableau or Power BI. * Analytical/ Decision Making Responsibilities * Analytical ability to manage multiple projects and prioritize tasks into manageable ...

Experience with data visualization tools like Tableau or Power BI. * Analytical/ Decision Making Responsibilities * Analytical ability to manage multiple projects and prioritize tasks into manageable ...

Data visualization and polished communication skills. * Self-driven problem solver; able to adapt ... Able to manage ambiguity. * Data driven decision making. * Experience with GenAI LLM models

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Showing results 1-20

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 Jun 16, 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 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:
Infographic showing various Data Visualization Manager job openings in Illinois as of June 2026, with employment types broken down into 26% Full Time, 59% Part Time, 2% Temporary, 12% Contract, and 1% Nights. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $106,060 per year, or $51 per hour.

Associate Director, Data Operations

Omnicom Media US PHD

Chicago, IL โ€ข On-site

$70K - $130K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 23 days ago


Job description

PHD is a global communications planning and media buying agency network delivering smart strategic thinking and creative innovation for the world's leading brands. Brilliant media thinking is in our DNA. A culture of thought-leadership, creativity and innovation has seen us grow from a challenger agency in the UK, to a global leader with over 6,000 employees in over 100 offices worldwide. We combine the latest industry insight with the best creative minds to produce planning innovation and create award-winning work for some of the world's largest advertisers. Finding a better way is our ethos and sums up how we approach everything - from a new client brief to the way we work.
About the Team
The Data Operations team is pivotal in the delivery of modern agency services. We are tightly integrated with planning and investment teams to deliver on and exceed our clients' business goals.
Responsibilities
External facing responsibilities:
  • Lead taxonomy strategy conversations across key stakeholders for breakout of media reporting
  • Development of data warehouse and visualization dashboards
  • Creation and maintenance of calculated measurements and dimensions
  • Development of dashboards using data visualization tools such as Datorama and Tableau
  • Consult with subject-matter experts to design and develop business rules for data processing
  • Setup and maintenance of data streams using business intelligence tools
  • Lead taxonomy strategy conversations across key stakeholders for break out of media reporting
  • Gather reporting requirements for internal/external dashboard & reports
  • Proactively elevate and resolve project roadblocks and issues
  • Manage project plans for internal/external reporting across internal teams
  • Provide ongoing technical support for data ops processes and taxonomy recommendations
  • Ensuring timely follow through on all scheduled and ad hoc deliverables
  • Ensures compliance of data quality standards

Internal facing responsibilities:
  • Drive adoption of reporting automation across teams
  • Facilitate communication and progression of tasks through regular status meetings and working sessions
  • Setup ongoing QA process and cadence
  • Lead, mentor and train junior level staff and offshore teams
  • Create, gather and write data-related standards and processes documents
  • Propose and generate targeted solutions on data quality issues and operational inefficiencies

Required Skills
  • Data Collection and Processing: Experienced in building data visualization solutions (Tableau, Datorama, etc.) as well as automation solutions (Alteryx, Datorama, etc.)
  • Excellent presentation and communication skills
  • Advanced knowledge of the function and formation of standardized taxonomy practices for more accurate and efficient data collection & automation
  • Expert in QA resolution
  • Experienced with planning, optimization and analysis tools (Planit, Prisma, DDS)
  • Demonstrated familiarity with self-serve tools within Search platforms (Google Ads, Bing, SA360), Programmatic DSPs (DV360, Yahoo, etc.), Ad Servers (CM360, Innovid, etc.), Social Platforms (Meta, Pinterest, TikTok, etc.) and Google Suite (Marketing Platform, Tag Manager, Analytics, Merchant Center)
  • Excellent project management skills

Education and Experience
  • A university degree in a related field, and 5-7 years of experience in advertising, management consulting, marketing or digital consulting
  • Knowledge of agency-side execution processes

#LI-CC2
This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on relevant experience, other job-related qualifications/skills, and geographic location (to account for comparative cost of living). The Company reserves the right to modify this pay range at any time. For this role, benefits include: health insurance, vision insurance, dental insurance, 401(k), Healthcare Flexible Spending Account, Dependent Care Flexible Spending Account, vacation days, sick days, personal days, paid parental leave, paid medical leave, and STD/LTD insurance benefits.
Compensation Range
$70,000-$130,000 USD
This role is hybrid, requiring three (3) days per week in the office. The remaining two (2) days may be worked remotely. Specific in-office days will be discussed during the interview process, with flexibility to align with team needs. Please note that the number or required in-office days may be adjusted over time, potentially increasing the number of required in-office days based on business needs.
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