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Data Classification Jobs in Michigan (NOW HIRING)

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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 24, 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 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 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:
Cyber Data Protection/PKI Specialist Senior Consultant

Cyber Data Protection/PKI Specialist Senior Consultant

Deloitte

Detroit, MI • On-site

Other

Posted 8 days ago


Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

58th of 139 rated financial services


Job description

Cyber Data Protection and PKI Specialist - Senior Consultant

Our Deloitte Cyber team understands the unique challenges and opportunities businesses face in cybersecurity. Join our team to deliver powerful solutions to help our clients navigate the ever-changing threat landscape. Through powerful solutions and managed services that simplify complexity, we enable our clients to operate with resilience, grow with confidence, and proactively manage to secure success.

Recruiting for this role ends on 12/31/2026.

Work You'll Do

  • Serve as a subject matter expert and trusted advisor to our clients, assisting them to evaluate strategic and practical data protection and encryption requirements based on new and emerging data risks, advising on best practices for data encryption, decryption, and secure key management
  • Assist clients in designing, implementing and operating technology and process solutions to reduce data risks, developing and leading the implementation of encryption strategies to protect sensitive data across various environments, including cloud, on-premises, and hybrid infrastructures, to manage the deployment and lifecycle of PKI systems, ensuring robust and scalable certificate management processes, monitor and maintain the health of certificate infrastructures to prevent downtime and security breaches, and assist with developing requirements, evaluating vendor solutions, architecting, implementing and operating data protection solutions
  • Aid in the delivery of client engagements, ensuring success by:
    • Driving day-to-day execution, communicating updates to clients and firm leadership
    • Providing leadership and support to delivery teams to ensure completion and accuracy of high-quality work products
    • Tracking and reporting on project timelines to ensure on time and on budget delivery
  • Stay up to date on emerging encryption technologies (e.g., post-quantum cryptography, confidential computing, secure enclaves, envelope encryption) and industry trends around cyber risk, data protection and cryptography practices.
  • Proactively evaluate and recommend new tools and solutions to enhance data security

The Team

Our Cyber Strategy & Transformation offering develops and transforms cyber programs in line with a client's strategic objectives, regulatory requirements, and risk appetite. It keeps the enterprise a step ahead of the evolving threat landscape and gives stakeholders confidence in the organization's cyber posture. Includes design of the cyber organization, governance, and risk assessments.

Qualifications

Required:

  • Bachelor's degree in Cybersecurity, Information Security, Engineering, Computer Science, Information Technology or related field
  • 5+ years of professional experience within data protection and information security, which may include Data Discovery, Data Classification and Rights Management, Data Access Governance, Data Loss Prevention, Cloud Access Security Broker, Encryption, Certificate Lifecycle Management, Cloud Security, SaaS Security
  • 5+ years with PKI concepts: certificates, CAs, RA, CSR, OCSP, CRL, HSM, key management, trust chains
  • 2+ years of professional experience managing and implementing various encryption technologies (e.g., database encryption, file encryption, Public Key Infrastructure (PKI), certificate lifecycle management (CLM), transport layer security (TLS)) and strong understanding of Cloud encryption concepts such as client-side encryption, bring your own key (BYOK), server-side encryption.
  • 2+ years of professional experience developing data protection strategies, roadmaps and frameworks; experience may include designing, implementing and operating data protections services
  • 2+ years of total hands-on technical experience with one or more data protection technologies
  • 2+ years with CLM platforms such as AppViewX, Venafi, Keyfactor, DigiCert, or similar
  • 2+ years with cryptographic standards and protocols including TLS/SSL, SSH, S/MIME, code signing, and NIST-aligned practices
  • 2+ years certificate discovery, inventory, automation, renewal, and compliance monitoring
  • 2+ years supporting strategy, architecture, roadmap, and implementation workstreams
  • 2+ years of hands-on understanding of integration points across F5, load balancers, WAFs, Kubernetes, API gateways, web/app servers, and cloud platforms
  • 2+ years of client-facing skills: requirements gathering, stakeholder management, workshop facilitation, and executive communication
  • 2+ years leading small teams/workstreams and producing structured, client-ready deliverables
  • Ability to travel 25-50%, on average, based on the work you do and the clients and industries/sectors you serve
  • Limited sponsorship may be available

Preferred:

  • Quantum readiness and AI protection experience a strong plus
  • Significant industry work experience preferred
  • Experience with market leading data protection and encryption vendors (e.g., Thales, AppViewX, Venafi, Fortanix, DigiCert, Protegrity)
  • Experience with public cloud (Azure, AWS, GCP) security and modern data platforms (e.g., Snowflake, Databricks, Starburst)
  • Experience or familiarity with emerging data protection technologies for user communications, e.g., Secure Access Service Edge, Data Security Posture Management, Data Security Platforms and Synthetic Data
  • Familiarity with networks, firewalls, IDS/IPS, and end point security
  • Familiarity with popular databases on both windows and UNIX platforms, including Oracle and MS SQL
  • Familiarity with common identity, authentication, and directory services, such as Active Directory and LDAP
  • Familiarity with sophisticated multinational companies and distributed business models
  • Experience defining data protection use cases, documenting business requirements and evaluating technology solutions
  • Experience with data risk program design, including alignment to cybersecurity and compliance programs.
  • Experience working with data protection and information security policies, standards and procedures
  • Experience leading collaborative efforts across organizational silos, including multifunctional teams of IT professionals, legal/compliance teams, and business executives
  • Experience with cloud collaboration tools and security/compliance, particularly Microsoft 365
  • Familiarity with change management, deployment and operational processes in large IT organizations
  • Experience with vendor relationship management
  • Professional certifications such as CISSP, CISM, or similar.
  • Limited immigration sponsorship may be available.

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $118,700 - 218,600. 

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

#CyberDTP27

Qualifications:

Cyber Data Protection and PKI Specialist - Senior Consultant

Our Deloitte Cyber team understands the unique challenges and opportunities businesses face in cybersecurity. Join our team to deliver powerful solutions to help our clients navigate the ever-changing threat landscape. Through powerful solutions and managed services that simplify complexity, we enable our clients to operate with resilience, grow with confidence, and proactively manage to secure success.

Recruiting for this role ends on 12/31/2026.

Work You'll Do

  • Serve as a subject matter expert and trusted advisor to our clients, assisting them to evaluate strategic and practical data protection and encryption requirements based on new and emerging data risks, advising on best practices for data encryption, decryption, and secure key management
  • Assist clients in designing, implementing and operating technology and process solutions to reduce data risks, developing and leading the implementation of encryption strategies to protect sensitive data across various environments, including cloud, on-premises, and hybrid infrastructures, to manage the deployment and lifecycle of PKI systems, ensuring robust and scalable certificate management processes, monitor and maintain the health of certificate infrastructures to prevent downtime and security breaches, and assist with developing requirements, evaluating vendor solutions, architecting, implementing and operating data protection solutions
  • Aid in the delivery of client engagements, ensuring success by:
    • Driving day-to-day execution, communicating updates to clients and firm leadership
    • Providing leadership and support to delivery teams to ensure completion and accuracy of high-quality work products
    • Tracking and reporting on project timelines to ensure on time and on budget delivery
  • Stay up to date on emerging encryption technologies (e.g., post-quantum cryptography, confidential computing, secure enclaves, envelope encryption) and industry trends around cyber risk, data protection and cryptography practices.
  • Proactively evaluate and recommend new tools and solutions to enhance data security

The Team

Our Cyber Strategy & Transformation offering develops and transforms cyber programs in line with a client's strategic objectives, regulatory requirements, and risk appetite. It keeps the enterprise a step ahead of the evolving threat landscape and gives stakeholders confidence in the organization's cyber posture. Includes design of the cyber organization, governance, and risk assessments.

Qualifications

Required:

  • Bachelor's degree in Cybersecurity, Information Security, Engineering, Computer Science, Information Technology or related field
  • 5+ years of professional experience within data protection and information security, which may include Data Discovery, Data Classification and Rights Management, Data Access Governance, Data Loss Prevention, Cloud Access Security Broker, Encryption, Certificate Lifecycle Management, Cloud Security, SaaS Security
  • 5+ years with PKI concepts: certificates, CAs, RA, CSR, OCSP, CRL, HSM, key management, trust chains
  • 2+ years of professional experience managing and implementing various encryption technologies (e.g., database encryption, file encryption, Public Key Infrastructure (PKI), certificate lifecycle management (CLM), transport layer security (TLS)) and strong understanding of Cloud encryption concepts such as client-side encryption, bring your own key (BYOK), server-side encryption.
  • 2+ years of professional experience developing data protection strategies, roadmaps and frameworks; experience may include designing, implementing and operating data protections services
  • 2+ years of total hands-on technical experience with one or more data protection technologies
  • 2+ years with CLM platforms such as AppViewX, Venafi, Keyfactor, DigiCert, or similar
  • 2+ years with cryptographic standards and protocols including TLS/SSL, SSH, S/MIME, code signing, and NIST-aligned practices
  • 2+ years certificate discovery, inventory, automation, renewal, and compliance monitoring
  • 2+ years supporting strategy, architecture, roadmap, and implementation workstreams
  • 2+ years of hands-on understanding of integration points across F5, load balancers, WAFs, Kubernetes, API gateways, web/app servers, and cloud platforms
  • 2+ years of client-facing skills: requirements gathering, stakeholder management, workshop facilitation, and executive communication
  • 2+ years leading small teams/workstreams and producing structured, client-ready deliverables
  • Ability to travel 25-50%, on average, based on the work you do and the clients and industries/sectors you serve
  • Limited sponsorship may be available

Preferred:

  • Quantum readiness and AI protection experience a strong plus
  • Significant industry work experience preferred
  • Experience with market leading data protection and encryption vendors (e.g., Thales, AppViewX, Venafi, Fortanix, DigiCert, Protegrity)
  • Experience with public cloud (Azure, AWS, GCP) security and modern data platforms (e.g., Snowflake, Databricks, Starburst)
  • Experience or familiarity with emerging data protection technologies for user communications, e.g., Secure Access Service Edge, Data Security Posture Management, Data Security Platforms and Synthetic Data
  • Familiarity with networks, firewalls, IDS/IPS, and end point security
  • Familiarity with popular databases on both windows and UNIX platforms, including Oracle and MS SQL
  • Familiarity with common identity, authentication, and directory services, such as Active Directory and LDAP
  • Familiarity with sophisticated multinational companies and distributed business models
  • Experience defining data protection use cases, documenting business requirements and evaluating technology solutions
  • Experience with data risk program design, including alignment to cybersecurity and compliance programs.
  • Experience working with data protection and information security policies, standards and procedures
  • Experience leading collaborative efforts across organizational silos, including multifunctional teams of IT professionals, legal/compliance teams, and business executives
  • Experience with cloud collaboration tools and security/compliance, particularly Microsoft 365
  • Familiarity with change management, deployment and operational processes in large IT organizations
  • Experience with vendor relationship management
  • Professional certifications such...

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