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Data Classification Jobs in Michigan (NOW HIRING)

Data Protection Sr. Analyst

Detroit, MI · Hybrid

$84.80K - $100.70K/yr

Basic understanding of data classification/labeling, DLP policies and rules, and regulatory concepts (e.g., GDPR, HIPAA - awareness level). * PowerShell scripting or automation exposure is a plus.

Cyber Data Protection Manager

Detroit, MI · Remote

$109.90K - $148.50K/yr

DLP, sensitivity labels, data classification, DSPM, DSPM for AI, on-demand classification, or related Microsoft 365 data security capabilities * Knowledge of AI security and governance concepts ...

Cyber Data Protection Manager

Detroit, MI · Remote

$109.90K - $148.50K/yr

DLP, sensitivity labels, data classification, DSPM, DSPM for AI, on-demand classification, or related Microsoft 365 data security capabilities * Knowledge of AI security and governance concepts ...

SkySync is a leader in migrating and integrating files across the enterprise and has now evolved the product to address Data Governance and Classification. We are on a mission to provide our ...

Data Protection Manager

Detroit, MI · On-site +1

$150.40K - $178.60K/yr

Experience with data classification frameworks, control design, and regulatory alignment (e.g., GDPR, HIPAA, PCI-DSS). * PowerShell scripting for automation and reporting. * Familiarity with Copilot ...

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 ...

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Showing results 1-20

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.
What are popular job titles related to Data Classification jobs in Michigan? For Data Classification jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Data Classification jobs in Michigan look for? The top searched job categories for Data Classification jobs in Michigan are:
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.

Information Classification Senior Lead

Huntington

Detroit, MI • On-site

Full-time

Medical, Life, Retirement, PTO

Posted 4 days ago


Job description

Description

Summary:

We are looking for an experienced Information Classification Senior Lead to establish and mature the enterprise information classification program that enables data protection, responsible data use, and AI readiness. This role serves as the enterprise partner who designs the broader Information Classification program, operating model, requirements, and roadmap that connects people, process, and technology. The Senior Lead defines the strategy for integrating data classification requirements across all data related policies, downstream controls, data use, sensitivity-based handling, and AI risk mitigation, ensuring consistent enterprise-wide understanding and application. This is a handson, deliveryfocused role that builds the connected foundation the enterprise needs to move from protection through enablement.

Duties and Responsibilities

Program and Framework Design

  • Design the enterprise information classification framework and define enterprise requirements aligned to regulatory, contractual, and risk expectations, ensuring traceability to GLBA, GDPR, FFIEC guidance, internal data protection standards, and responsible data use principles.
  • Define the longterm strategy and roadmap that drives classification maturity and strengthens crossenterprise alignment
  • Partner closely with Cyber and Data Governance to ensure program expectations support information classification and data management policies and procedures under their ownership.

Operating Model and Processes

  • Define the classification operating model including who classifies, when, and how classification is applied across applications, datasets, analytics, and data products
  • Establish stewardship routines, decision rights, escalation paths, and exception handling processes
  • Build and maintain goforward processes that adapt to evolving regulatory requirements, technology modernization, and AIrelated risks
  • Facilitate working sessions to validate requirements, align solution designs, and drive shared understanding across technology, security, risk, and business teams

Technology and Enablement (in Strong Partnership with Cybersecurity)

  • Partner with Cyber to ensure classification requirements are clearly understood and embedded into the tools and capabilities they manage
  • Align with Cyber and Data Catalog teams on prioritization, roadmap planning, and sequencing to ensure classification and protection capabilities progress together
  • Ensure classification metadata supports responsible AI use, including data minimization, appropriate model training, and visibility into data sensitivity
  • Clarify classification expectations for data platforms, products, and delivery teams to ensure consistent enterprise adoption

Risk, Controls, and Governance

  • Support assessments, gap analysis, remediation planning, and tracking of classificationrelated issues
  • Create reporting, KPIs, and dashboards that measure classification completeness, quality, adoption, and adherence
  • Serve as a subject matter expert on information sensitivity, classification governance, and classification's role in downstream controls and AI risk mitigation
  • Participate in governance routines and escalate risks or blockers as needed

Education, Adoption, and Organizational Alignment

  • Develop and maintain training, guidance, and job aids that drive understanding and adoption of classification expectations
  • Lead communication efforts that reinforce responsible data use and sensitivityaligned handling
  • Strengthen organizational connectedness by working across security, technology, risk, compliance, data governance, and business teams
  • Guide prioritization and planning activities that support the roadmap and overall program maturity
  • Perform other duties as assigned.

Basic Qualifications:

  • Bachelor's Degree or equivalent relevant work experience
  • 10+ years of experience implementing data governance frameworks (e.g., data policies, standards, and controls), experience developing and/or implementing data governance policy and standards, and experience working with IT and/or business segments on the analysis of complex business processes and data governance needs

Preferred Qualifications:

  • 5+ years of experience serving as a process owner with accountability for designing, maintaining, and continuously improving operational processes
  • 5+ years of hands-on experience with classification tools, such as data scanning technologies (i.e., Securiti.ai, Varonis) and data catalogs (i.e., Collibra, Alation)
  • Demonstrated experience collaborating across technology, risk, legal, and business teams to implement governance or control practices
  • Demonstrated experience documenting requirements, designing solutions that span people, process, and technology, and facilitating crossfunctional working sessions
  • Handson experience applying governance or control practices within a complex environment
  • Ability to create visually compelling, executiveready strategic decks that communicate complex concepts clearly and drive alignment
  • Experience operating within regulated organizations
  • Working knowledge of data privacy and security regulations and standards such as GDPR, CPRA or CCPA, GLBA, FFIEC guidance, and PCI DSS
  • Experience implementing metadata tagging, classification automation, or sensitivity labeling
  • Ability to communicate effectively, influence without authority, and support crossfunctional delivery
  • Familiarity with data classification, sensitivity models, metadata practices, and audit support activities


Exempt Status: (Yes= not eligible for overtime pay) (No= eligible for overtime pay)

Yes

Workplace Type:

Office

Our Approach to Office Workplace Type

Certain positions outside our branch network may be eligible for a flexible work arrangement. We're combining the best of both worlds: in-office and work from home. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. Remote roles will also have the opportunity to come together in our offices for moments that matter. Specific work arrangements will be provided by the hiring team.

Compensation Range:

$93,000.00 - $189,000.00 Annual Salary

The compensation range represents the anticipated low and high end of the base compensation range for this position. Actual compensation will vary based on various factors including but not limited to location, experience, and education. Colleagues in this position are also eligible to participate in an applicable incentive compensation plan. In addition, Huntington provides a variety of benefits to colleagues, including health insurance coverage, wellness program, life and disability insurance, retirement savings plan, paid leave programs, paid holidays and paid time off (PTO).

Huntington is an Equal Opportunity Employer.

Tobacco-Free Hiring Practice: Visit Huntington's Career Web Site for more details.

Note to Agency Recruiters: Huntington will not pay a fee for any placement resulting from the receipt of an unsolicited resume. All unsolicited resumes sent to any Huntington colleagues, directly or indirectly, will be considered Huntington property. Recruiting agencies must have a valid, written and fully executed Master Service Agreement and Statement of Work for consideration.