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Data Classification Jobs in California (NOW HIRING)

Accenture

Data Protection Sr. Analyst

Sacramento, CA · Hybrid

$84K - $100K/yr

Basic understanding of data classification/labeling, DLP policies and rules, and regulatory concepts (e.g., GDPR, HIPAA - awareness level). * PowerShell scripting or automation exposure is a plus.

Accenture

Data Protection Sr. Analyst

San Diego, CA · Hybrid

$84K - $100K/yr

Basic understanding of data classification/labeling, DLP policies and rules, and regulatory concepts (e.g., GDPR, HIPAA - awareness level). * PowerShell scripting or automation exposure is a plus.

Xenith Solutions

Data Ops Engineer

San Diego, CA · On-site

$121K - $146K/yr

... classification. • Demonstrate proficiency with frequent-used scripting language (Python, bash) commonly used in data science applications and data analytics. Qualifications : Required : • U.S ...

MSR Cosmos

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

MongoDB

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 ...

MongoDB

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 ...

Mantek Solutions, Inc.

GRC Specialist

Orange, CA · Hybrid

Data Classification: Lead the design and implementation of classification standards and quarterly review cycles. * Audit & Monitoring: Perform regular audits to ensure compliance and establish ...

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Data Classification information

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.

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 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 most commonly searched types of Data Classification jobs in California? The most popular types of Data Classification jobs in California are:
What are popular job titles related to Data Classification jobs in California? For Data Classification jobs in California, the most frequently searched job titles are:
What job categories do people searching Data Classification jobs in California look for? The top searched job categories for Data Classification jobs in California are:
Data Classification jobs near you
Infographic showing various Data Classification job openings in California 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.
Senior Product Manager (AI / Data Classification)

Senior Product Manager (AI / Data Classification)

Zscaler

San Jose, CA • Hybrid

$148K - $195K/yr

Other

Posted 5 days ago

Job description

Role

We are looking for a Senior Product Manager (AI / Data Classification) to join our Data Protection team. This is a hybrid role based in San Jose, CA (3 days onsite). While local candidates are preferred, we are open to remote candidates based on the West Coast for exceptional applicants. 

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 a focused 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 (custom categories, confidence thresholds, inheritance, overrides, exceptions)
  • Drive accuracy improvements by managing precision/recall targets, sampling strategies, tuning workflows, and customer feedback loops
  • Set requirements for scanning at enterprise scale (billions of objects, large tables), optimizing cost, latency, and coverage
  • 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 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. You adapt to what's needed, navigating seamlessly between high-level strategy and hands-on execution.
  • You are a problem-solver. You seek out challenges because you are energized by finding solutions, 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 customer-obsessed. You build deep empathy for the customer-both internal and external-and anchor your decisions in solving their real-world problems. You champion their needs from start to finish, knowing their success is our success.
  • You operate with urgency. You understand that in a high-growth environment, speed and quality are not mutually exclusive. You have a relentless focus on execution and a bias for action, delivering high-impact results quickly to win for the customer and the team.

What We're Looking for (Minimum Qualifications)

  • Product Management experience, with meaningful ownership of data security/privacy products. Product management experience can be substituted with data science experience
  • Demonstrated experience shipping products that use AI/ML and/or LLMs in production, with a strong understanding of data classification approaches across structured and unstructured data
  • Expertise in evaluation and quality measurement for classification systems and building/maintaining golden datasets
  • Ability to design human-in-the-loop workflows for high-stakes labels, covering review/approval, exception handling, and audit trails
  • Experience driving cost/performance tradeoffs for AI at scale, including token/compute budgeting, model selection, and managing latency for large corporations

What Will Make You Stand Out (Preferred Qualifications)

  • Strong technical collaboration skills with ML engineering and data science
  • Familiarity with embedding-based similarity and semantic retrieval for classification and deduping (vector DBs, ANN indexing, chunking strategies)
  • Prior work in DSPM/DLP/CASB/insider risk where false negatives have high blast radius and you have designed processes to manage that risk

#LI-KM9 #LI-hybrid

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