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Data Classification Jobs in Illinois (NOW HIRING)

Deloitte

Cyber Data Protection/PKI Manager

Chicago, IL · On-site

$114K - $154K/yr

... Classification and Rights Management, Data Access Governance, Data Loss Prevention, Cloud Access Security Broker, Encryption, Certificate Lifecycle Management, Cloud Security, SaaS Security * 7+ ...

Talent Solutions Group Inc

Be Seen First

Principal ArtificiaI Intelligence Engineer Governance

Chicago, IL · On-site

... data quality, lineage, classification, and usage controls are embedded into AI workflows and model development processes. · Establish and maintain a centralized AI use case inventory, ensuring ...

MSLGROUP

Senior Analyst, Data Enablement

Chicago, IL · On-site

$73K - $101K/yr

Develop and implement scalable classification logic and data transformation rules using SQL and/or Python * Ensure data quality, consistency, and integrity across datasets through rigorous QA, ...

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All JobsData Classification JobsData Classification Jobs in Illinois

Data Classification information

See Illinois salary details

$44.6K

$159.9K

$236K

How much do data classification jobs pay per year?

As of Jun 24, 2026, the average yearly pay for data classification in Illinois is $159,907.00, according to ZipRecruiter salary data. Most workers in this role earn between $129,400.00 and $164,700.00 per year, depending on experience, location, and employer.

What is the role of data classification?

Data classification is a key responsibility in data management roles, involving categorizing data based on sensitivity, importance, or confidentiality. It helps organizations implement appropriate security measures, comply with regulations, and improve data handling efficiency. Professionals often use tools like data catalogs and classification frameworks to perform this task effectively.

What jobs pay $2000 a day?

High-paying roles in data classification or related fields typically include senior data scientists, data engineers, or consultants working on large-scale projects, often earning $2,000 or more per day through contract or consulting arrangements. These positions usually require advanced skills in data analysis, machine learning, or data management, and may involve working with enterprise-level data systems or specialized tools. Such roles are often project-based, with compensation reflecting expertise and experience.

What are the key skills and qualifications needed to thrive in the Data Classification position, and why are they important?

To thrive in Data Classification, you need strong analytical skills, attention to detail, and a background in data management or information science, often supported by a relevant degree. Familiarity with data classification tools, data loss prevention (DLP) systems, and certifications such as Certified Information Systems Security Professional (CISSP) are commonly beneficial. Good communication, teamwork, and problem-solving skills help you excel in collaborating with IT, compliance, and business teams. These competencies are critical for accurately categorizing data, maintaining security standards, and ensuring regulatory compliance across an organization.

What is a Data Classification job?

A Data Classification job involves organizing and labeling data based on its sensitivity, importance, or type to ensure proper handling, security, and compliance. Professionals in this role categorize data according to predefined policies and frameworks, helping organizations safeguard sensitive information and optimize data management. They work closely with security, compliance, and IT teams to implement classification strategies and improve data governance.

What are the 4 types of data classification?

Data classification involves categorizing data based on its sensitivity and importance. The four common types are public, internal, confidential, and restricted data. Data classification helps organizations implement appropriate security measures and compliance protocols.

What are the typical challenges faced in a Data Classification role?

A common challenge in Data Classification is accurately identifying and categorizing large volumes of diverse and sometimes ambiguous data, which requires both technical proficiency and critical thinking. Balancing the need for data accessibility with strict security and compliance requirements can also pose difficulties. Collaboration with various departments, such as IT and legal, is often necessary to implement organization-wide classification policies and ensure consistent practices. By staying up-to-date with data protection regulations and evolving technology, professionals in this role can effectively address these challenges and contribute significantly to their organization’s information security strategy.

What are the data classification levels C1 C2 C3 C4?

In data classification, levels like C1, C2, C3, and C4 typically represent increasing sensitivity or confidentiality, with C1 being the most public and C4 the most restricted. Data classification roles, such as Data Classification specialists, often involve assigning data to these levels based on organizational policies, security requirements, and compliance standards. Understanding these levels helps ensure proper data handling, access control, and security measures are applied.
What are the most commonly searched types of Data Classification jobs in Illinois? The most popular types of Data Classification jobs in Illinois are:
What are popular job titles related to Data Classification jobs in Illinois? For Data Classification jobs in Illinois, the most frequently searched job titles are:
What job categories do people searching Data Classification jobs in Illinois look for? The top searched job categories for Data Classification jobs in Illinois are:
Data Classification jobs near you
Infographic showing various Data Classification job openings in Illinois as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $159,907 per year, or $76.9 per hour.
Principal, AI Governance

Principal, AI Governance

Request Technology, LLC

Chicago, IL • On-site

Other

Posted 28 days ago

Job description

Principal, AI Governance

Salary: Starting at $190k + bonus

Location: Chicago, IL

Hybrid: 3 days onsite, 2 days remote

Qualifications

  • Experience operating in a regulated industry required; financial services strongly preferred.
  • 10+ years of experience across data, data governance, risk management, technology governance, or compliance, with at least 4 years focused on AI/ML.
  • Hands-on experience in data governance is required, including data quality, metadata management, data lineage, and data classification.
  • Deep understanding of the AI/ML lifecycle, including model development, validation, deployment, and monitoring.
  • Strong knowledge of AI regulatory and ethics frameworks such as NIST AI RMF.
  • Experience with privacy regulations and their intersection with AI and data governance.
  • Proficient with SQL
  • Proficient with Microsoft Office desktop tools (Word, Excel, etc.)
  • Database experience a plus (e.g., Oracle, SQL Server, DB2)

Responsibilities

  • Design, own, and continuously evolve the enterprise AI governance framework, including policies, standards, and controls for AI development, deployment, and monitoring.
  • Serve as the subject matter expert on AI risk, ethics, explainability, and regulatory compliance, providing guidance across business and technology teams.
  • Extend and align existing data governance practices to cover AI-specific requirements, ensuring data quality, lineage, classification, and usage controls are embedded into AI workflows and model development processes.
  • Establish and maintain a centralized AI use case inventory, ensuring appropriate risk classification, approval workflows, and oversight across all AI initiatives.
  • Define and enforce guardrails to ensure responsible and compliant use of AI and data across the organization.
  • Partner with Security, IT, and Compliance teams to implement monitoring and enforcement mechanisms, including detection and remediation of policy violations.
  • Incorporate AI risk into the enterprise risk taxonomy and maintain an AI risk register, ensuring visibility into AI-related risk exposure across the organization.
  • Conduct risk assessments for new and existing AI solutions, including pre-implementation reviews of vendor AI tools in partnership with Third-Party Risk Management.
  • Coordinate with the AI Product Management and AI Engineering groups on employee awareness initiatives, training programs, and development of practical guidance and templates for safe and responsible AI use across the organization.
  • Coordinate cross-functional governance bodies and working groups, driving alignment on AI policy, use case decisions, and governance priorities.

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