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Data Classification Jobs in Arizona (NOW HIRING)

Virtuous Software

Lead Data Platform Engineer

Phoenix, AZ · On-site +1

$113K - $136K/yr

Ensure AI systems access data exclusively through governed service accounts and role-scoped permissions, with query activity auditable and restricted according to enterprise data classification and ...

Virtuous

Lead Data Platform Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Ensure AI systems access data exclusively through governed service accounts and role-scoped permissions, with query activity auditable and restricted according to enterprise data classification and ...

Avnet, Inc.

Tariff Classification Specialist

Tempe, AZ · On-site

Improve data quality across logistics, transportation, and trade compliance systems by identifying ... S. harmonized tariff classification. Complete knowledge of all job functions and classification ...

Avnet, Inc.

Tariff Classification Specialist

Phoenix, AZ · On-site

Improve data quality across logistics, transportation, and trade compliance systems by identifying ... S. harmonized tariff classification. Complete knowledge of all job functions and classification ...

New

Deloitte

Cyber Data Protection/PKI Manager

Gilbert, AZ

$110K - $149K/yr

... Classification and Rights Management, Data Access Governance, Data Loss Prevention, Cloud Access Security Broker, Encryption, Certificate Lifecycle Management, Cloud Security, SaaS Security * 7+ ...

Diverse Lynx

Info Security Analyst (SaaS)

Phoenix, AZ · On-site

Knowledge of data classification solutions * Strong understanding of Multi-tenant SaaS environments * Cloud shared responsibility model - IaaS / PaaS / SaaS differences * Containerization (Docker ...

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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 popular job titles related to Data Classification jobs in Arizona? For Data Classification jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Data Classification jobs in Arizona look for? The top searched job categories for Data Classification jobs in Arizona are:
Data Classification jobs near you
Infographic showing various Data Classification job openings in Arizona as of June 2026, with employment types broken down into 92% Full Time, 6% Part Time, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.
Sr Advanced Data & AI Security Specialist

Sr Advanced Data & AI Security Specialist

Honeywell - AEROSPACE

Glendale, AZ

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 23 days ago

Honeywell Aerospace rating

8.3

Company rating: 8.3 out of 10

Based on 118 frontline employees who took The Breakroom Quiz

26th of 60 rated aerospace companies

Job description

As a Sr Advanced Data & AI Security Specialist here at Honeywell, you will play a pivotal role in safeguarding our data assets through advanced security measures and innovative strategies. Your expertise will help us maintain a robust security posture, ensuring the protection of sensitive information across our organization.
You will report directly to our IT Security Director, and you'll work out of our Phoenix, AZ or Charlotte, NC location on a Hybrid work schedule. Note: New Hires will work onsite M-F for the first 90 days
In this role, you will impact the security of our data infrastructure, driving initiatives that enhance our data protection capabilities and mitigate risks associated with evolving cyber threats.
Responsibilities
  • Design, implement, and enforce security controls across the AI lifecycle, including data protection, model security, access controls, and secure deployment of AI/GenAI solutions.
  • Partner with cybersecurity, legal, and AI engineering teams to identify AI-specific risks, ensure regulatory compliance, and embed secure-by-design and Responsible AI principles into all AI use cases.
  • Define and govern data access models (RBAC/ABAC), including access policies, approval workflows, and entitlement standards, in partnership with business, data, cybersecurity and IAM teams.
  • Enforce data access and protection policies, monitor compliance, and drive remediation and exception management.
  • Lead access reviews, security testing, control validation, and audits for data platforms and use cases.
  • Define and apply data classification and tagging standards to enable risk-based, automated security and policy enforcement.
  • Oversee data masking, encryption, tokenization, and protection reviews aligned to data sensitivity and intended use.
  • Secure data across its lifecycle, including data pipelines, cloud platforms, analytics, and AI/ML use cases, ensuring security-by-design.
  • Establish security requirements for AI and ML data usage, including protection of training data, inference data, and model inputs and outputs.
  • Conduct data security risk assessments, vulnerability analysis, and threat modeling, and act as SME for incidents and investigations.

Qualifications
YOU MUST HAVE
  • 5 or more years of experience in data engineering or a related field.
  • Knowledge of AI/ML and GenAI security requirements and risks, including data leakage and model exposure
  • Experience implementing security controls across the AI lifecycle (data ingestion, training, inference, deployment, and monitoring)
  • Understanding of data protection, access control, and identity management for AI platforms and pipelines
  • Familiarity with Responsible AI principles, including privacy, fairness, explainability, and risk mitigation
  • Deep expertise in RBAC, ABAC, policy enforcement, data masking, and classification.
  • In-depth knowledge of data security technologies and methodologies.
  • Experience with security frameworks and compliance standards such as ISO 27001, NIST, or GDPR.
  • Strong knowledge of data governance frameworks, data quality, and compliance standards.
  • Experience with data privacy regulations and best practices in data security.

WE VALUE
  • Bachelor's degree from an accredited institution in a technical discipline such as science, technology, engineering, mathematics.
  • Master's degree in computer science, Engineering, or a related field.
  • Experience with enterprise data security and governance initiatives
  • Experience with highly regulated industry standards
  • Enterprise Strong analytical and problem-solving skills with a focus on data protection.
  • Ability to work effectively in a fast-paced and dynamic environment.
  • Excellent project management skills and attention to detail.

US PERSON REQUIREMENT
Due to compliance with U.S. export control laws and regulations, candidate must be a U.S. person, which is defined as, a U.S. citizen, a U.S. permanent resident, or have protected status in the U.S. under asylum or refugee status.
BENEFITS OF WORKING FOR HONEYWELL
In addition to a competitive salary, leading-edge work, and developing solutions side-by-side with dedicated experts in their fields, Honeywell employees are eligible for a comprehensive benefits package. This package includes employer-subsidized Medical, Dental, Vision, and Life Insurance; Short-Term and Long-Term Disability; 401(k) match, Flexible Spending Accounts, Health Savings Accounts, EAP, and Educational Assistance; Parental Leave, Paid Time Off (for vacation, personal business, sick time, and parental leave), and 12 Paid Holidays. For more information visit: click here
The application period for the job is estimated to be 40 days from the job posting date; however, this may be shortened or extended depending on business needs and the availability of qualified candidates. Posting Date: April 30, 2026
ABOUT HONEYWELL
Honeywell International Inc. (Nasdaq: HON) invents and commercializes technologies that address some of the world's most critical challenges around energy, safety, security, air travel, productivity, and global urbanization. We are a leading software-industrial company committed to introducing state-of-the-art technology solutions to improve efficiency, productivity, sustainability, and safety in high growth businesses in broad-based, attractive industrial end markets. Our products and solutions enable a safer, more comfortable, and more productive world, enhancing the quality of life of people around the globe. Learn more about Honeywell: click here
THE BUSINESS UNIT
Honeywell Aerospace Technologies (AT) products and services are found on virtually every commercial, defense, and space aircraft in the world. We build aircraft engines, cockpit and cabin electronics, wireless connectivity systems, mechanical components and more, and connect many of them via our high-speed Wi-Fi offerings. Our solutions create healthier air travel, more fuel-efficient and better-maintained aircraft, more direct and on-time flight arrivals, safer skies and airports, and more comfortable flights, along with several innovations and services that reflect exciting and emerging new transportation methods such as autonomous and supersonic flight. Revenues in 2023 for Honeywell Aerospace Technology were $14B and there are approximately 21,000 employees globally. To learn more, please visit click here .
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