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Data Evaluation Manager Jobs in Addison, IL (NOW HIRING)

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Data Evaluation Manager information

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$31.1K

$97.3K

$172.3K

How much do data evaluation manager jobs pay per year?

As of Aug 22, 2026, the average yearly pay for data evaluation manager in Addison, IL is $97,326.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,100.00 and $125,700.00 per year, depending on experience, location, and employer.

What is a data evaluation manager?

Data Evaluation Managers are professionals responsible for overseeing the assessment, analysis, and interpretation of data within an organization. They ensure that collected data is accurate, relevant, and effectively used to inform business decisions. Their role often includes developing evaluation frameworks, managing data collection processes, and presenting findings to stakeholders. Data Evaluation Managers may work in various sectors, including business, healthcare, and education, to improve programs and strategies based on data insights.

How does a data evaluation manager typically collaborate with other departments within an organization?

Data Evaluation Managers frequently work cross-functionally, partnering with teams such as IT, data analytics, operations, and business strategy to ensure that data collection, analysis, and interpretation align with organizational goals. They may lead meetings to discuss data needs, coordinate with analysts to clarify evaluation methodologies, and present findings to decision-makers. Effective collaboration ensures that data-driven insights are actionable and relevant, and it often involves translating complex data concepts into clear recommendations for non-technical stakeholders.

What are the key skills and qualifications needed to thrive as a data evaluation manager, and why are they important?

To thrive as a Data Evaluation Manager, you need strong analytical skills, expertise in data analysis methodologies, and a background in statistics or a related field, typically supported by a relevant degree. Familiarity with data visualization tools (such as Tableau or Power BI), statistical software (like R or SPSS), and database management systems is essential. Excellent communication, leadership, and problem-solving abilities help you translate complex data insights into actionable recommendations and lead cross-functional teams effectively. These skills are crucial for ensuring accurate data-driven decision-making and maximizing the value of organizational data assets.

What is the difference between Data Evaluation Manager vs Data Analyst?

AspectData Evaluation ManagerData Analyst
Required CredentialsBachelor's degree in data science, statistics, or related field; experience in data managementBachelor's degree in data analysis, statistics, or related field; proficiency in data tools
Work EnvironmentOversees data evaluation teams, manages data quality processes, collaborates with stakeholdersAnalyzes data sets, creates reports, supports decision-making
Employer & Industry UsageUsed in organizations with large data teams, focus on data quality and evaluationCommon across industries for data reporting and insights

The Data Evaluation Manager focuses on overseeing data quality, evaluation processes, and team management, ensuring data integrity for strategic decisions. In contrast, Data Analysts primarily analyze data sets, generate reports, and support operational and business insights. While both roles require similar educational backgrounds, the Manager role involves leadership and process oversight, whereas the Analyst role emphasizes data analysis skills.

What job categories do people searching Data Evaluation Manager jobs in Addison, IL look for?

The top searched job categories for Data Evaluation Manager jobs in Addison, IL are:

What cities near Addison, IL are hiring for Data Evaluation Manager jobs?

Cities near Addison, IL with the most Data Evaluation Manager job openings:

Data Evaluation Manager jobs near you
Infographic showing various Data Evaluation Manager job openings in Addison, IL as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $97,326 per year, or $46.8 per hour.

Lead Technology Product Manager, AI Quality & Evaluation

Wolters Kluwer

Riverwoods, IL • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 18 days ago

Wolters Kluwer rating

9.1

Company rating: 9.1 out of 10

Based on 29 frontline employees who took The Breakroom Quiz

26th of 246 rated software companies

Job description

Build the product capabilities that help ensure AI-enabled healthcare experiences are useful, trusted, and responsibly deployed.

At Wolters Kluwer Health, the UpToDate suite supports millions of clinical decisions every day. As AI becomes part of healthcare workflows, quality cannot be treated as a one-time launch checkpoint. AI experiences need to be evaluated,monitored, and improved continuously so clinicians and care teams can trust the information and interactions they rely on.

As Senior Product Manager, AI Quality & Evaluation, you will play a core role in translating clinical quality standards and evaluationstrategyinto scalable product capabilities. Working under product leadership and in close partnership with clinical, technical, and data experts, you will help define the requirements, workflows, tooling, automation, and reporting needed to evaluate AI-enabled experiences before and after launch.

This role does not own the clinical quality standard or statisticalmethodology. It helps make those standards operational at scale through usable tools, repeatable workflows, measurable signals, andclear evidencethat supports product decisions, customer trust, and responsible AI.

What You'll Do

  • Translate expert-defined quality standards and evaluation methods into product requirements, workflows, and roadmap priorities.

  • Drive discovery and delivery for defined AI quality and evaluation capabilities, including tooling, automation, monitoring, evidence capture, and reporting.

  • Partner with clinical, data science, engineering, product, legal, compliance, and customer-facing teams to operationalize AI evaluation before and after launch.

  • Identifyopportunities to automate and scale evaluation workflows while preservingappropriate expertoversight.

  • Define product requirements for review workflows,issuetriage, launch readiness, post-launch monitoring, and quality reporting.

  • Use evaluation insights to inform product improvements, user experience, content quality, model behavior, and operational processes.

  • Track emerging market practices and customer expectations related to AI quality, evaluation, benchmarking, and responsible AI.

  • Translate AI quality and evaluation practices into clear narratives for product leaders, customer-facing teams, and internal stakeholders.

What You'll Bring

  • 5+ years of product management experience in healthcare, enterprise SaaS, data-driven products, platform products, quality, or related areas.

  • Strong product discovery and execution skills, includingrequirementsdefinition, roadmap planning, experimentation, and metrics-driven decision-making.

  • Ability to translate complex clinical, technical, quality, or risk concepts into practical product requirements and workflows.

  • Experience working with engineering, data, clinical, compliance, customer-facing, or operational stakeholders.

  • Strong analytical thinking and comfort defining metrics, dashboards, workflows, and decision criteria.

  • Strong communicationskills, especially around quality, trust, tradeoffs, evidence, and customer value.

  • Curiosity and learning agility around AI, evaluation methods, responsible AI, and emerging technologies.

Preferred Background

  • Experience with AI-enabled products, healthcare technology, quality tooling, data products, search/retrieval quality, content quality, clinical validation, or decision-support products.

  • Familiarity with AI evaluation methods, benchmarks, monitoring, human-in-the-loop review, automation, or applied machine learning concepts.

  • Experience in healthcare, clinical workflows, regulated environments, or professional-information products.

  • Experience supporting customer-facing narratives around product quality, trust, or responsible technology.

What Success Looks Like

  • Expert-defined quality standards are translated into scalable product workflows, tools, and requirements.

  • Evaluation processes become more automated, repeatable, measurable, and usable by cross-functional teams.

  • Product teams have clearer quality signals and launch-readiness criteria for AI-enabled experiences.

  • Evaluation insights improve product quality, customer trust, user experience, and responsible AI practices.

  • Customer-facing teams can clearly explain how AI quality and trust are evaluated.
    #LI-Hybrid

Our Interview Practices

To maintain a fair and genuine hiring process, we kindly ask that all candidates participate in interviews without the assistance of AI tools or external prompts. Our interview process is designed to assess your individual skills, experiences, and communication style. We value authenticity and want to ensure we're getting to know you-not a digital assistant. To help maintain this integrity, we ask to remove virtual backgrounds and include in-person interviews in our hiring process. Please note that use of AI-generated responses or third-party support during interviews will be grounds for disqualification from the recruitment process.

Applicants may be required to appear onsite at a Wolters Kluwer office as part of the recruitment process.

Compensation:

$118,300.00 - $207,400.00 USDThis role is eligible for Bonus.

Compensation range listed is based on primary location of the position. Actual base salary offer is influenced by a wide array of factors including but not limited to skills, experience and actual hiring location. Your recruiter can share more information about the specific offer for the job location during the hiring process.

Additional Information:

Wolters Kluwer offers a wide variety of competitive benefits and programs to help meet your needs and balance your work and personal life, including but not limited to: Medical, Dental, & Vision Plans, 401(k), FSA/HSA, Commuter Benefits, Tuition Assistance Plan, Vacation and Sick Time, and Paid Parental Leave. Full details of our benefits are available upon request.

What Wolters Kluwer employees say

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Hours and flexibility

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About Wolters Kluwer

Sourced by ZipRecruiter

Wolters Kluwer Global Business Services is designed to provide services to the business units in the areas of technology, sourcing, procurement, legal, finance, and accounting which includes our North American-Accounting Center. These global centers promote team collaboration using best practices around a specific focus area to drive results and enhance operational efficiencies. There is a constant endeavor to benchmark against best-in-class industry standards to improve the quality of deliverables, increase cost savings, enhance productivity, and reduce time to market for products and applications

Industry

Accounting services, library and information services and it services

Company size

10,000+ Employees

Headquarters location

Philadelphia, PA, US

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