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Data Classification Jobs in Maryland (NOW HIRING)

Senior Manager, Data Security

California, MD · On-site +1

$109K - $150K/yr

This leader will own the data security engineering pillar, with accountability for data classification and discovery, data loss prevention (DLP), cloud data security, and SaaS security posture.

This role involves heavy engineering responsibilities managing and evolving security tools related to data classification, Data Loss Prevention (DLP), and email routing rules. You will play a ...

Define and enforce data policies, standards, classification rules, lifecycle guidelines, and governance controls. * Integrate governance requirements into planning workflows, data pipelines, and ...

Cyber Data Protection Manager

Baltimore, MD · Remote

$110K - $149K/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 ...

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/AI ...

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Data Classification information

What jobs make $1,000,000 a year?

In the field of data classification, high-paying roles such as Chief Data Officer or senior data science executives can earn around or above $1 million annually, especially in large corporations or tech firms. These positions typically require extensive experience, advanced skills in data management, and leadership responsibilities. Compensation often includes base salary, bonuses, and stock options.

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 usage to ensure proper handling and security. It helps organizations implement appropriate access controls, comply with regulations, and protect sensitive information effectively.

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 is the highest paying data job?

Data scientists and data engineers are among the highest paying roles in data-related fields, often earning six-figure salaries depending on experience, location, and industry. Advanced skills in machine learning, big data tools, and programming languages like Python or SQL can further increase earning potential.
What are the most commonly searched types of Data Classification jobs in Maryland? The most popular types of Data Classification jobs in Maryland are:
Infographic showing various Data Classification job openings in Maryland as of July 2026, with employment types broken down into 73% Full Time, 23% Part Time, 1% Temporary, and 3% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution.
Data Governance & Catalog Specialist

Data Governance & Catalog Specialist

Accenture Federal Services

Suitland, MD • On-site

Other

Posted 16 days ago


Accenture Federal Services rating

8.4

Company rating: 8.4 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

59th of 487 rated business services


Job description

As a Data Governance & Catalog Specialist at AFS, you will implement and manage the data cataloging and metadata strategy for the product.

Responsibilities

  • Lead the integration and operationalization of the automated metadata publishing service tool to automate metadata extraction and the application of classification and security tags.
  • Ensure that all data products within the data catalog are accurately tagged, described, and governed according to DoW policies, making them "readily consumable".
  • Work with data owners to define and enforce data quality rules and access control policies.
  • This role acts as part of the "Enabling Team" that supports domain data providers and consumers.

Basic Qualifications

  • Experience with data cataloging tools and automated tagging platforms.
  • Familiarity with Palantir Foundry's data governance features is also beneficial.
  • Strong understanding of data governance frameworks, metadata management, data lineage, and data quality.
  • Knowledge of DoW data standards, metadata guidance, and data classification requirements (e.g., CUI)

Clearance

  • An active Secret federal security clearance is required

What Accenture Federal Services employees say

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Benefits

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