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Data Classification Jobs (NOW HIRING)

Novul Solutions

Data Architect - TS/SCI

Arlington, VA · On-site

$73.50 - $94.50/hr

Establish and manage enterprise-wide data classification and categorization standards based on sensitivity, mission-criticality, and regulatory requirements. * Lead coordination and deployment of ...

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$46K

$165K

$243.5K

How much do data classification jobs pay per year?

As of Jun 24, 2026, the average yearly pay for data classification in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 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.
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Data Classification jobs near you
Infographic showing various Data Classification job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.
Senior Product Manager (AI / Data Classification)

Senior Product Manager (AI / Data Classification)

Zscaler

San Jose, CA • Hybrid

$148K - $195K/yr

Other

Posted 20 days ago

Job description

Role We are looking for a Senior Product Manager (AI / Data Classification) to join our team. This is a hybrid, based in San Jose, CA (3 days onsite) role, reporting to the [MISSING: INSERT DETAIL] in the Data Protection department. We're looking for a Product Manager to lead data classification capabilities within a Data Security platform. You'll own the end-to-end product strategy for discovering and classifying sensitive data across cloud, on-prem data stores and SaaS applications, turning classification outcomes into actionable risk reduction for security, privacy, and compliance teams.

What you'll do (Role Expectations)

  • Partner closely with engineering, data science/ML, design, sales, and customer success to deliver accurate, scalable classification, clear policy outcomes, and measurable customer value

  • Own the classification taxonomy, labeling standards, and policy model covering custom categories, confidence thresholds, inheritance, overrides, and exceptions

  • Drive accuracy improvements by managing precision/recall targets, sampling strategies, tuning workflows, and customer feedback loops

  • Set requirements for scanning at enterprise scale to optimize cost, latency, and coverage across billions of objects and large data tables

  • Define how the platform combines pattern-based detectors, NLP/ML, and LLM-assisted classification for structured and unstructured data

Who You Are (Success Profile)

  • You thrive in ambiguity. You're comfortable building the path as you walk it. You thrive in a dynamic environment, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful.

  • You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high-level strategy and hands-on execution.

  • You are a problem-solver. You love running towards the challenges because you are laser-focused on finding the solution, knowing that solving the hard problems delivers the biggest impact.

  • You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback-knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust.

  • You are a learner. You have a true growth mindset and are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose.

What We're Looking for (Minimum Qualifications)

  • Foundational understanding of AI/ML technologies and experience leveraging, securing, or positioning AI-driven solutions to optimize outcomes within your functional domain

  • Product management experience with meaningful ownership of data security/privacy products, or equivalent data science experience

  • Demonstrated experience shipping production products utilizing AI/ML or LLMs with a strong understanding of data classification approaches across structured and unstructured data

  • Expertise in evaluation and quality measurement for classification systems, including building and maintaining golden datasets

  • Experience designing human-in-the-loop workflows for high-stakes labels and driving large-scale AI cost/performance tradeoffs

What Will Make You Stand Out (Preferred Qualifications)

  • Advanced experience implementing retrieval-augmented generation (RAG) or fine-tuning models specifically optimized for automated data privacy compliance and sensitive data discovery

  • Familiarity with embedding-based similarity, semantic retrieval, vector DBs, and maintaining strong technical collaboration with ML engineering and data science teams

  • Prior work in DSPM/DLP/CASB/insider risk environments where false negatives have a high blast radius and you have successfully designed processes to manage that risk

#LI-KM9 #LI-hybrid

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