1

Data Classification Jobs in Michigan (NOW HIRING)

The Customer Data Steward plays a critical role in managing customer master data integrity across ... Ensure proper classification, hierarchy, and consistency in customer records. * Manage MDG-related ...

Customer Data Steward

Grand Rapids, MI · On-site

$84K - $124K/yr

The Customer Data Steward plays a critical role in managing customer master data integrity across ... Ensure proper classification, hierarchy, and consistency in customer records. * Manage MDG-related ...

Customer Data Steward

Grand Rapids, MI · On-site

$84K - $124K/yr

The Customer Data Steward plays a critical role in managing customer master data integrity across ... Ensure proper classification, hierarchy, and consistency in customer records. * Manage MDG-related ...

Infrastructure Solutions Architect 5

Lansing, MI · On-site

$67 - $85.75/hr

... Data Classification policies and standards. • Create and maintain the metadata repository. Including developing and maintaining a formal description of the data, data structures, and data flow ...

Collaborates to ensure secure, compliant handling of sensitive and regulated data across AI systems and enterprise data platforms, including enforcement of data classification, retention, access ...

Collaborates to ensure secure, compliant handling of sensitive and regulated data across AI systems and enterprise data platforms, including enforcement of data classification, retention, access ...

Data Governance & Information Protection: Lead the strategic direction for automated data discovery, data classification workflows, and enterprise Data Loss Prevention (DLP) programs. * Security ...

An understanding of statistical and machine learning techniques, including classification ... Experience with common data science toolkits, such as R, Python, TensorFlow, SQL, Scikit-learn ...

Data Engineer

Dearborn, MI

$105K - $126K/yr

Data Engineer #1054989 * Employees in this job function are responsible for designing, building ... For example, building a classification model using Vertex AI to predict customer churn, or ...

next page

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 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:
Senior Consultant - Microsoft Purview & M365 Compliance Governance

Senior Consultant - Microsoft Purview & M365 Compliance Governance

Proactive Technology Management

Ferndale, MI

Contractor

Posted 20 days ago


Job description

The role in one sentence

Lead the Microsoft Purview and M365 compliance lane of a 90-day governance engagement that turns a Fortune-class regulated enterprise's data, DLP, and Copilot exposure surface into a classified, labeled, retained, audited capability - and convert into a PTM Fusion full-time hire on successful delivery. 

Why this role exists

Proactive Technology Management (PTM) Fusion has committed to a 90-day governance program for a Fortune-class regulated enterprise client. The program has two delivery lanes running in parallel - Power Platform / Copilot Studio CoE & ALM and Microsoft Purview / M365 Compliance. This posting is for the Purview / M365 lane. 

The engagement runs in two phases: 

  • Phase 1 - Discovery & Assess (30 days). Inventory the client's M365 information protection posture: existing sensitivity labels, DLP policies, retention framework, audit configuration, classification accuracy, and Copilot AI exposure. Map current state against PTM and Microsoft baselines. Quantify the risk and ROI of remediation. Deliver a prioritized governance backlog. 
  • Phase 2 - Implement & Govern (60 days). Stand up a label taxonomy and auto-labeling policy. Deploy or tune DLP across Exchange, SharePoint, OneDrive, Teams, and Endpoint. Operationalize retention, records management, and audit. Configure Purview-for-Copilot DSPM-for-AI controls. Wire the whole estate into Azure Monitor and Log Analytics so governance posture is observable, not assumed. 

You will work in lockstep with a Power Platform CoE / ALM specialist who owns the Power Platform side. The two lanes share a Solution Architecture Document, a milestone roadmap, and a value metric - so coordination matters. 

What you'll deliver
  • A complete inventory of existing Purview, DLP, retention, and audit configuration, with a risk-ranked gap analysis against PTM and Microsoft reference architectures. 
  • A sensitivity label taxonomy the business actually understands, with manual labeling guidance and auto-labeling policies (client-side and service-side) tuned for low false-positive rate. 
  • DLP policies across Exchange, SharePoint, OneDrive, Teams, and Endpoint DLP, with explicit incident triage, exception, and override workflows. Coordination with Power Platform DLP through the Power Platform lane. 
  • A retention label and policy framework covering record categories, disposition review, and litigation-hold posture. 
  • Microsoft Purview Audit configuration (Standard or Premium tier as scoped), audit log retention, and export pipeline to the client's downstream SIEM. 
  • Microsoft Compliance Manager assessment selection, improvement-action plan, and executive reporting cadence. 
  • Purview for Copilot governance - DSPM-for-AI configuration, sensitivity-aware grounding rules, prompt and response audit, and red-team review of high-exposure agents in coordination with the Power Platform lane. 
  • Azure Monitor and Log Analytics observability - diagnostic settings on M365 audit and DLP signals, KQL workbooks for label coverage, DLP incident rate, retention drift, and AI prompt-risk indicators, alert rules on policy drift, and an executive dashboard reporting against the value metric agreed during Discovery. 
  • Solution Architecture Document (SAD), Solution Design Document (SDD), and milestone roadmap authored against PTM templates and reviewed under our Maker-Checker discipline. 
Who you are

You can sit with a Chief Information Security Officer at 9 a.m., a records-management lead at 11 a.m., and a SharePoint admin at 2 p.m. - and leave each conversation with the same coherent governance picture in mind. You communicate in plain language to business owners and in precise technical terms to engineers, often in the same meeting. 

You believe a label taxonomy is a product, not a deliverable. You measure success in incidents avoided, audits passed, and ROI delivered - not in policies authored. 

Requirements

Microsoft Purview & M365 governance (depth required) 
  • 5+ years delivering Microsoft Purview / M365 information protection in enterprise or mid-market environments, with at least 2 full lifecycles of label taxonomy design and deployment. 
  • Microsoft Purview Information Protection - label taxonomy design, manual labeling, auto-labeling policies (client-side and service-side), label-driven encryption, and rights management. 
  • Microsoft Purview Data Loss Prevention across Exchange, SharePoint, OneDrive, Teams, and Endpoint DLP - policy authoring, simulation mode, incident triage, exception workflow, and tuning to keep false-positive rate inside a defensible band. 
  • Data classification using built-in, custom keyword, custom regex, exact-data-match, and trainable classifiers - including the data-engineering work to seed and validate them. 
  • Retention labels and retention policies, records management, disposition review, and litigation-hold posture. 
  • Microsoft Purview Audit (Standard and Premium) - audit log search, export, retention, and downstream SIEM integration. 
  • SailPoint - Proven expertise with Identity Governance & Administration (IGA) platforms, specifically SailPoint  
    • Hands-on experience implementing, configuring, and maintaining SailPoint solutions (e.g., IdentityIQ, IdentityNow) 
  • Microsoft Compliance Manager - assessment selection, improvement actions, control implementation evidence, and executive reporting. 
  • Purview for Copilot - DSPM-for-AI configuration, sensitivity-aware grounding, prompt and response auditing for Microsoft Copilot for M365 and Copilot Studio agents. 
Identity & adjacent surfaces (depth required) 
  • Microsoft Entra ID - conditional access, sensitivity-label-bound access policies, and the binding between identity, label, and DLP enforcement. 
  • Working knowledge of Power Platform DLP so the M365 and Power Platform DLP surfaces compose coherently - you will partner with the Power Platform lane on this, but you must be able to reason about it end-to-end. 
  • Microsoft Defender for Cloud Apps for shadow-IT discovery and SaaS DLP enrichment, where in scope. 
Observability (depth required) 
  • Azure Monitor and Log Analytics - workspace design, diagnostic settings for M365 audit and Purview signals, KQL fluency, workbook authoring, alert rules, and action groups. 
  • Microsoft Sentinel integration for governance signals and audit-log SIEM tier - connector deployment, analytic rule authoring, and incident workflow. 
  • Power BI dashboards that report a value metric a non-technical executive can act on (label coverage, DLP incident rate, retention drift, AI prompt-risk). 
Consulting craft (depth required) 
  • Demonstrated ability to author and present architecture artifacts to a CTO-level audience: C4 diagrams, SADs, SDDs, milestone roadmaps. 
  • A discovery toolkit you actually use - Lean UX, BPMN, Event Storming, or comparable methods for translating ambiguous client problems into a prioritized backlog with measurable outcomes. 
Strongly Preferred
  • Microsoft certifications: SC-400 (Information Protection & Compliance Administrator), SC-100 (Cybersecurity Architect Expert), SC-200 (Security Operations Analyst), SC-300 (Identity & Access Administrator). 
  • Hands-on with Microsoft Priva for privacy management, data subject requests, and privacy risk policies. 
  • eDiscovery (Standard and Premium) - case management, custodian holds, advanced indexing, and review-set culling. 
  • Insider Risk Management and Communication Compliance policy design. 
  • Experience with regulated frameworks - HIPAA, HITRUST, SOC 2, ISO 27001, FDA 21 CFR Part 11, GDPR, GLBA - and the documentation discipline they require. 
  • Prior delivery in regulated environments (medical device, life sciences, healthcare, or financial services). 
  • Experience as a subcontractor or partner-of-partner - you know how to represent PTM cleanly inside multi-vendor delivery teams and inside the end client's governance forums. 
How you work
  • Search before assumptions. You verify against current docs, the client tenant, and runtime evidence before recommending. Confidence without evidence is not a substitute for either. 
  • Contracts before code. You define the interface - label taxonomy, DLP policy, retention schedule, audit retention - before anyone publishes against it. 
  • Validators before delivery. Every label, every DLP rule, every retention policy ships with a test that proves it works and an alert that fires when it stops working. 
  • Maker-Checker over solo heroics. You welcome a second pair of eyes on every material design decision, and you give the same in return. 
  • Plain language. A 12-year-old can follow your milestone narrative. A CISO trusts your governance posture. A business owner sees the ROI line. 
Engagement details
  • Engagement structure. Contract-to-hire. Initial term covers the full 90-day engagement (30 days Discovery + 60 days Implementation). Conversion to PTM Fusion full-time hire on successful delivery and mutual fit. 
  • Capacity. One full-time-equivalent role, paired with a Power Platform CoE / ALM specialist on the same engagement. 
  • Location. Remote, US-based. Occasional travel to client sites; expect no more than one trip per month during Implementation. 
  • Compensation. Competitive contract rate during the engagement; market-aligned base, performance bonus, and benefits package on conversion. Final terms commensurate with experience and certifications. 
  • Start. Immediate. Discovery kicks off as soon as the right candidate is in seat. 

Benefits

Possibility of contract-to-hire