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Data Classification Jobs in Michigan (NOW HIRING)

Dinsmore

Senior Information Governance Analyst

Troy, MI · On-site

Drive awareness and compliance to ensure proper data classification, transfer, collection and retention of all Client and Firm materials * Provide expertise to the IG and Records staff on execution ...

CVS Health

Lead Data Privacy Engineer

Lansing, MI

$104K - $136.90K/yr

Lead and contribute to enterprise data governance activities, including data discovery, classification, data loss prevention, audit, and incident response. * Lead project teams of talented ...

Deloitte

Cyber Data Protection/PKI Manager

Detroit, MI · Hybrid

$109.90K - $148.50K/yr

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

Deloitte

Cyber Data Protection/PKI Manager

Detroit, MI

$109.90K - $148.50K/yr

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

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Data Classification information

See Michigan salary details

$40.1K

$143.8K

$212.2K

How much do data classification jobs pay per year?

As of Jun 3, 2026, the average yearly pay for data classification in Michigan is $143,829.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,400.00 and $148,200.00 per year, depending on experience, location, and employer.

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 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 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 roles of data classification?

Data classification involves categorizing data based on its sensitivity and importance to ensure proper handling, security, and compliance. It helps organizations implement appropriate access controls, protect sensitive information, and facilitate data management. Data classification is a key responsibility in data governance and often requires knowledge of security standards and tools.
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Data Classification jobs near you
Infographic showing various Data Classification job openings in Michigan as of May 2026, with employment types broken down into 1% As Needed, 91% Full Time, 5% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $143,829 per year, or $69.1 per hour.
Cybersecurity IAM Analyst

Cybersecurity IAM Analyst

UFP Industries

Grand Rapids, MI • On-site

Full-time

Posted 11 days ago

UFP Industries rating

7.2

Company rating: 7.2 out of 10

Based on 83 frontline employees who took The Breakroom Quiz

333rd of 515 rated manufacturers

Job description

Job Summary
The Cybersecurity IAM Analyst I supports the cybersecurity program by executing defined IAM and data security processes, including user access management, data classification and protection, and secure configuration of SharePoint and other data repository environments.
This role is part of the Identity and Access Management team and works closely with security engineering, IT teams, and business stakeholders to ensure:
  • Access is granted based on least privilege
  • Collaboration platforms are built securely
  • Sensitive data is classified, protected, and monitored appropriately

The analyst operates under general supervision and escalates complex, high-risk, or non-standard scenarios as needed.
Principal Duties and Responsibilities
Identity & Access Management Support
  • Review and triage user access requests to ensure alignment with security standards and least-privilege principles.
  • Support onboarding, role changes, and offboarding by ensuring access is provisioned and deprovisioned accurately.
  • Identify access issues or entitlement concerns.
  • Document access workflows, approvals, and ownership to support audit and compliance efforts.
  • Partner with IT and business teams to ensure timely and accurate fulfillment of access requests.

Data Security & Risk Initiatives
  • Support data security initiatives such as data classification, labeling, protection and monitoring efforts.
  • Assist with building, configuring, and securing SharePoint sites and other approved document repositories using approved access models and governance standards.
  • Validate that SharePoint libraries are configured with appropriate permissions, group-based access, and data protection controls.
  • Help identify potential data exposure risks within collaboration platforms and document findings.
  • Participate in testing and validation of data protection controls during new deployments or changes.
  • Work with data owners and business stakeholders to promote secure data handling and collaboration practices.

Additional Responsibilities
  • Contribute to continuous improvement of IAM and data security processes, documentation, and standards.
  • Support audits, access reviews, and evidence gathering as needed.
  • Perform other duties as assigned.

Qualifications
Required
  • Bachelor's degree in computer science, information security, or a related field, or equivalent practical experience.
  • Foundational understanding of cybersecurity concepts and identity and access management concepts.
  • Strong analytical and problem-solving skill with attention to detail.
  • Ability to follow established processes and escalate issues appropriately.
  • Strong written and verbal communication skills.
  • Ability to work independently and collaboratively within a team environment.

Preferred
  • Exposure to IAM concepts such as provisioning, access reviews, least privilege, or role-based access.
  • Familiarity with data security, data governance, or compliance principles.
  • Experience supporting or securing Microsoft 365 services such as SharePoint, Teams, or Entra ID in an enterprise environment.

The Company is an Equal Opportunity Employer.

What UFP Industries employees say

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Hours and flexibility

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About UFP Industries

Sourced by ZipRecruiter

Universal Forest Products, Inc., is a U.S.-based global corporation that finds reward in its roots and its hard-earned success. Founded in 1955 as a supplier of lumber to the manufactured housing industry, Universal today is a multibillion-dollar holding company with subsidiaries around the globe that serve three robust markets: retail, industrial and construction. Since 1993, Universal has been publicly traded (Nasdaq: UFPI). We re headquartered in Grand Rapids, Michigan.

Industry

Wood product manufacturing

Company size

10,000+ Employees

Headquarters location

Grand Rapids, MI, US

Year founded

1955

Social media

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