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Data Classification Jobs in California (NOW HIRING)

Cyber Data Protection Manager

Fresno, CA · Hybrid

$110K - $148K/yr

Data Classification, Labeling and Rights Management technologies such as Microsoft Purview. * Digital Code Signing operations and management * Database Encryption technologies * Understanding of ...

Cyber Data Protection Manager

Sacramento, CA · Hybrid

$118K - $159K/yr

Data Classification, Labeling and Rights Management technologies such as Microsoft Purview. * Digital Code Signing operations and management * Database Encryption technologies * Understanding of ...

Cyber Data Protection Manager

San Diego, CA · Hybrid

$117K - $159K/yr

Data Classification, Labeling and Rights Management technologies such as Microsoft Purview. * Digital Code Signing operations and management * Database Encryption technologies * Understanding of ...

Owns enterprise data governance policies and standards for data classification, sensitivity labeling, masking/tokenization, restricted data access management, usage controls, and encryption alignment ...

AWS Data Architect

Gardena, CA · On-site

$65.25 - $84/hr

Data Governance Knowledge of data governance best practices including data classification access control and data lineage tracking Thanks Ramesh ramesh.u(at)msrcosmos(dot)com

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Senior Staff Enterprise Architect, Data

Palo Alto, CA · On-site

$79.25 - $106/hr

Evaluate AI-powered data observability platforms for quality monitoring, pipeline failure prediction, and data classification. Define requirements, lead vendor POCs, and establish integration ...

Senior Staff Enterprise Architect, Data

Palo Alto, CA · Hybrid

$79 - $105.75/hr

Evaluate AI-powered data observability platforms for quality monitoring, pipeline failure prediction, and data classification. Define requirements, lead vendor POCs, and establish integration ...

Senior Staff Enterprise Architect, Data

Palo Alto, CA · On-site

$79 - $105.75/hr

Evaluate AI-powered data observability platforms for quality monitoring, pipeline failure prediction, and data classification. Define requirements, lead vendor POCs, and establish integration ...

Cyber Data Protection Manager

Costa Mesa, CA · Remote

$119K - $160K/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 ...

Cyber Data Protection Manager

San Francisco, CA · Remote

$130K - $176K/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 ...

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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 California? The most popular types of Data Classification jobs in California are:
Infographic showing various Data Classification job openings in California as of June 2026, with employment types broken down into 89% Full Time, 8% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.
Senior Product Manager (AI / Data Classification)

Senior Product Manager (AI / Data Classification)

Zscaler

San Jose, CA • Hybrid

$148K - $195K/yr

Other

Posted yesterday


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 VP, Product Management DSPM 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

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