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Data Classification Jobs in Michigan (NOW HIRING)

AceStack LLC

Data Scientist

Pontiac, MI

... classification, regression, clustering, and time-series forecasting • Proficiency in Python and ... Data Science & Analytics • Perform EDA to identify trends, patterns, anomalies, and key business ...

New

SitusAMC

AVP, Legal Operations

Lansing, MI

Support execution of the Enterprise Data Governance & Lifecycle Risk Program, including discovery and data classification initiatives. * Maintain structured governance dashboards tracking deletion ...

Tech Tammina LLC

Data Scientists Modeling

Dearborn, MI · On-site

... classification, clustering, forecasting). • Collaborate closely with engineering and product teams to deploy models into production environments, ensuring scalability, reliability, and performance ...

Kion Group AG

Customer Data Steward

Grand Rapids, MI · On-site

$84.75K - $124.30K/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 ...

Kiongroup

Customer Data Steward

Grand Rapids, MI · On-site

$84.75K - $124.30K/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 ...

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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.
More about Data Classification jobs
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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.

Data Management / Librarian - 3DEXPERIENCE

Comau LLC

Southfield, MI • On-site

Full-time

Posted 22 days ago

Job description

Summary of the Position
The Data Management / Librarian - 3DEXPERIENCE is responsible for enterprise-wide governance and stewardship of customer & supplier products, documents, materials, templates, and knowledge assets within Dassault System 3DEXPERIENCE (R2026x FD02). The role is to ensure and enforces data standards, metadata consistency, lifecycle control, configuration and variant effectivity, and high data quality to ensure discoverability and enable efficient product
development, manufacturing execution, supplier collaboration, and program delivery in an automotive supplier environment.
Key Responsibilities
  • Data Governance & Classification
  • Define a long with develop and maintain attribute schemas, naming conventions, and classification rules (including 3D Classification) tailored to customer part families and vehicle variants.
  • Maintain and enforce metadata completeness rules and maturity states that align to program gates APQP phases (Advanced Product Quality Planning) requirements.
  • Curate Libraries: Comau standard parts, supplier purchased parts, commodity libraries, CAD templates, drawing templates, and knowledge-ware catalogs.
  • Manage versioning, revisions, baselines, life cycle, effectivity (vehicle variant/series), ensure correct configurations are available to engineers and suppliers.
  • Support ECR/ECO/change actions with traceability and impact analysis across EBOM ↔ MBOM, options/variants, and vehicle-level effectivity.
  • Participate in patches/upgrades (R2026x FD02), run UAT/regression tests, and validate classification/indexing preservation.
  • Maintain lifecycles, maturity workflows, and release criteria for parts, BOMs, documents, and E/E architecture artifacts.

Qualifications
  • Education: Associates/Bachelor's Degree in Engineering, Information Systems, Library Science, or equivalent experience.
  • Experience: 2+ years related work experience preferred. Product library management, or similar roles; exposure to PLM in related fields
  • Soft Skills: Strong stakeholder management, written and verbal communication, and training capability.
  • Some Travel may be required

Core Skills - Experience
  • Hands-on 3DEXPERIENCE/ENOVIA experience; R2026x FD02 familiarity preferred.
  • Knowledge or Concepts of PLM: An understanding of object models, lifecycles, change management (ECR/ECO), EBOM/MBOM, and variant management in automotive contexts.
  • CAD / data familiarity (CATIA, SolidWorks, NX, Excel (Microsoft) MBD/3D Master) and part-family structures.
  • Metadata design, search tuning, data imports/mapping (Excel/CSV), and KPI/dashboard reporting.
  • Strong attention to detail, cross-functional collaboration, problem solving, and training/communication skills.

Preferred Qualifications
  • Direct experience with Dassault 3DEXPERIENCE R2026x FD02 or recent 3DEXPERIENCE releases.
  • Library, Data Management
  • PLM, (Enovia) Project lifestyle Management, in a manufacturing company.

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