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Data Protection Privacy Jobs in New Jersey (NOW HIRING)

Privacy Analyst

Cedar Brook, NJ · On-site +1

$82K - $97K/yr

Work with the Global Privacy Office to develop maintain and evolve SITA?s privacy program ... Good understanding of global data protection laws, standards and associated compliance requirements;

As a Data Protection Senior Analyst, you'll support the delivery of data protection, data governance, and privacy solutions for Avanade clients. You'll work under the guidance of senior team members ...

Senior Legal Director, Cyber & Data Risk

New Brunswick, NJ · On-site

$103K - $133K/yr

Partner with ISRM, Privacy and "High-Risk Country" teams to align cybersecurity practices with global data protection, privacy, and ethical standards. * Provide legal guidance on enterprise data ...

Partner with ISRM, Privacy and "High-Risk Country" teams to align cybersecurity practices with global data protection, privacy, and ethical standards. * Provide legal guidance on enterprise data ...

Senior Legal Director, Cyber & Data Risk

Titusville, NJ · On-site

$99K - $128K/yr

Partner with ISRM, Privacy and "High-Risk Country" teams to align cybersecurity practices with global data protection, privacy, and ethical standards. * Provide legal guidance on enterprise data ...

Privacy Senior Counsel

Berkeley Heights, NJ · On-site

$145K - $197K/yr

Experience advising on global privacy laws and frameworks, including General Data Protection Regulation, California Consumer Privacy Act, California Privacy Rights Act, Fair Credit Reporting Act ...

As a Privacy Senior Consultant on Crowe's Privacy, Data Protection, and Compliance team, you will work directly with client stakeholders to help design, assess, and operationalize privacy programs ...

Showing results 21-40

Data Protection Privacy information

See New Jersey salary details

$10

$47

$71

How much do data protection privacy jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for data protection privacy in New Jersey is $47.99, according to ZipRecruiter salary data. Most workers in this role earn between $38.56 and $57.60 per hour, depending on experience, location, and employer.

What is data protection privacy?

Data protection privacy refers to the policies, procedures, and technologies designed to safeguard personal data from unauthorized access, misuse, or disclosure. It involves complying with relevant laws and regulations, such as GDPR, to ensure that individuals' personal information is collected, processed, stored, and disposed of securely. Data protection privacy professionals help organizations manage data responsibly and protect the rights of individuals whose data they handle.

What are the key skills and qualifications needed to thrive in a data protection privacy role?

To thrive in a Data Protection Privacy role, you need a solid understanding of data protection laws (like GDPR), risk assessment, and compliance, often supported by a degree in law, IT, or a related field. Familiarity with privacy management tools, data mapping software, and certifications such as CIPP/E or CIPM is typically required. Strong attention to detail, ethical judgment, and effective communication skills help professionals navigate complex regulations and foster trust. These skills are essential to ensure organizational compliance, minimize data breach risks, and protect customer and company information.

What are some common challenges faced by professionals in data protection privacy roles?

Professionals in Data Protection Privacy roles often encounter challenges such as keeping up with rapidly evolving data privacy regulations, ensuring compliance across multiple jurisdictions, and managing data subject requests efficiently. They must also address internal resistance to new privacy practices and educate employees about the importance of data protection. Collaboration with IT, legal, and business teams is essential to implement robust privacy policies and respond to potential data breaches effectively.

What is the difference between Data Protection Privacy vs Data Privacy Officer?

AspectData Protection PrivacyData Privacy Officer
CertificationsGDPR, CIPP, CIPMGDPR, CIPP, CIPM
Work EnvironmentLegal, compliance, IT teamsLegal, compliance, data management teams
Industry UsageOrganizations handling sensitive dataOrganizations ensuring data privacy compliance

Data Protection Privacy focuses on implementing policies and practices to safeguard personal data, ensuring compliance with privacy laws. A Data Privacy Officer oversees and manages data privacy strategies, ensuring organizational adherence to regulations. While both roles require similar certifications and work in compliance environments, Data Protection Privacy is more about technical and procedural implementation, whereas Data Privacy Officers lead and coordinate privacy initiatives across the organization.

What are popular job titles related to Data Protection Privacy jobs in New Jersey?

For Data Protection Privacy jobs in New Jersey, the most frequently searched job titles are:

What job categories do people searching Data Protection Privacy jobs in New Jersey look for?

The top searched job categories for Data Protection Privacy jobs in New Jersey are:

Infographic showing various Data Protection Privacy job openings in New Jersey as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 12% Part Time, 2% Temporary, and 4% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $99,809 per year, or $48 per hour.

AI/ML Integration Specialist - ACWS

Data Systems Analysts, Inc.

Fort Dix, NJ

Full-time

Posted 19 days ago


Job description

AI/ML Integration Specialist Summary: Lead AI/ML integration by delivering practical, secure, and governed capabilities that improve productivity, automation, search, analytics, and decision support while ensuring proposed AI/ML solutions are authorized, usable in Army environments, aligned with mission and compliance requirements, and implemented without disrupting operations.

Required Skills: 

  • Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, Engineering, Information Systems, or a related technical field. 
  • AWS Certified Machine Learning Engineer, AWS Certified Generative AI Developer or AI/ML equivalent certification and Comp Tia Sec+
  • Active Secret Clearance
  • 6+ years of experience supporting AI/ML, data science, analytics, intelligent automation, software integration, or enterprise application modernization. 
  • Experience designing and integrating AI/ML capabilities into enterprise applications, workflows, APIs, data services, reporting tools, or user-facing systems. 
  • Working knowledge of machine learning, natural language processing, generative AI, prompt engineering, model evaluation, data pipelines, and responsible AI practices. 
  • Experience with Python, SQL, APIs, cloud services, structured and unstructured data, and integration patterns used to connect AI/ML capabilities with operational systems. 
  • Ability to translate mission needs, user pain points, and business requirements into practical AI/ML use cases, prototypes, implementation plans, and measurable outcomes. 
  • Knowledge of secure software delivery, data protection, privacy, model governance, human-in-the-loop controls, and compliance considerations for federal or regulated environments. 
  • Strong collaboration skills with the ability to work across architecture, development, data, cybersecurity, DevSecOps, testing, product, and government stakeholder teams. 
  • Active Secret Clearance

Desired Qualifications: 

  • Experience identifying and implementing AI/ML use cases for federal acquisition, contracting, financial, procurement, or mission workflow systems
  • Experience with AI-enabled acquisition capabilities such as document analysis, clause/compliance assistance, contextual help, search, summarization, anomaly detection, workload assignment, recommendation engines, reporting, and decision support.
  • Experience integrating AI/ML capabilities with Appian, LC/NC platforms, Java services, APIs, databases, business intelligence tools, or cloud-hosted environments. 
  • Experience developing AI-enabled search, document analysis, workflow automation, anomaly detection, recommendation, summarization, reporting, or decision-support capabilities. 

Responsibilities: 

  • Lead identification, design, and integration of AI/ML use cases that improve ACWS modernization, user efficiency, workflow automation, analytics, and decision support. 
  • Translate operational needs and stakeholder requirements into AI/ML solution concepts, technical requirements, prototypes, backlog items, and implementation guidance. 
  • Partner with architects, data administrators, developers, DevSecOps, cybersecurity, testers, and functional analysts to integrate AI/ML capabilities into secure enterprise delivery. 
  • Support AI/ML model selection, data preparation, prompt design, integration patterns, validation planning, and performance monitoring. 
  • AI-enabled delivery, testing, validation, and release support.
  • Implement responsible AI practices, including human review, explainability considerations, data protection, access control, auditability, and appropriate governance. 
  • Coordinate testing and validation of AI/ML-enabled capabilities to ensure accuracy, reliability, security, usability, and alignment with mission outcomes. 
  • Maintain AI/ML documentation, design assumptions, use case traceability, model/integration decisions, risks, and implementation recommendations. 
  • Evaluate emerging AI/ML technologies and recommend practical improvements that support ACWS modernization without disrupting operational continuity.Â