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Data Protection Manager Jobs in Georgia (NOW HIRING)

The DCAP Manager leverages data to identify root causes of Supply Chain shrink and leads ... Asset Protection * Develop and enforce safe and secure initiatives to safeguard company assets ...

Lead Data Privacy Engineer

Atlanta, GA · On-site

$98K - $129K/yr

... protection capabilities, including encryption, tokenization, key management, data classification, Data Loss Prevention (DLP), privacy-enhancing technologies (PETs), and insider risk controls.

Showing results 21-40

Data Protection Manager information

See Georgia salary details

$26.2K

$82K

$145.2K

How much do data protection manager jobs pay per year?

As of Sep 13, 2026, the average yearly pay for data protection manager in Georgia is $82,027.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,700.00 and $106,000.00 per year, depending on experience, location, and employer.

What does a data protection manager do?

A Data Protection Manager is responsible for ensuring that an organization complies with data protection laws and regulations, such as the GDPR. They develop and implement policies and procedures to safeguard personal and sensitive data, conduct risk assessments, and provide training to staff. Additionally, they handle data breach responses and act as the main point of contact for data protection authorities. Their work is crucial for minimizing data-related risks and maintaining customer trust.

What are the key skills and qualifications needed to thrive as a data protection manager?

To thrive as a Data Protection Manager, you need expertise in data privacy laws, risk management, and compliance frameworks, typically supported by a degree in law, IT, or information security and relevant certifications such as CIPP/E or CIPM. Familiarity with data mapping tools, data loss prevention (DLP) systems, and privacy management software is essential. Outstanding communication, attention to detail, and problem-solving abilities help navigate complex regulations and foster a culture of compliance across the organization. These skills ensure the organization's data is protected, legal obligations are met, and reputational risks are minimized.

How does a data protection manager typically collaborate with other departments to ensure compliance with data privacy regulations?

A Data Protection Manager works closely with departments such as IT, legal, HR, and operations to ensure that data handling practices comply with relevant privacy laws and company policies. They provide guidance and training to staff, review processes for potential data risks, and coordinate responses to data breaches or requests from regulatory authorities. Regular communication and collaboration are essential to identify potential issues early and implement effective data protection measures across the organization.

What is the difference between Data Protection Manager vs Data Security Analyst?

AspectData Protection ManagerData Security Analyst
CertificationsISO 27001, CISM, CISSPCISSP, CompTIA Security+
Work EnvironmentOversees data protection policies, manages compliance, and implements data security strategiesMonitors security systems, analyzes threats, and responds to security incidents
Industry UsageUsed across industries to ensure data privacy and complianceFocuses on identifying vulnerabilities and securing data systems

The Data Protection Manager primarily develops and enforces data privacy policies, ensuring compliance with regulations. In contrast, the Data Security Analyst focuses on monitoring security threats and implementing technical safeguards. Both roles are essential for comprehensive data security but differ in scope and responsibilities.

What are the most commonly searched types of Data Protection jobs in Georgia?

The most popular types of Data Protection jobs in Georgia are:

What job categories do people searching Data Protection Manager jobs in Georgia look for?

The top searched job categories for Data Protection Manager jobs in Georgia are:

What cities in Georgia are hiring for Data Protection Manager jobs?

Cities in Georgia with the most Data Protection Manager job openings:

Infographic showing various Data Protection Manager job openings in Georgia as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 79% Physical, 3% Hybrid, and 18% Remote job distribution, with an average salary of $82,027 per year, or $39.4 per hour.

Python Developer (Data Protection Services)

Alpharetta, GA • On-site

$60 - $64/hr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 18 days ago


Key responsibilities

  • Onboard new and maintain existing API microservices to support business needs and integrate with the tech ecosystem focused on sensitive data detection.

  • Support development and operational tasks involved in data security services, including service delivery, task automation, DevOps tasks, and on-call support.

  • Develop automation scripting and observability solutions to improve services continuously.


Job description

Position: Application Development | Level 2 (USD)
Location: Alpharetta, Georgia
Duration: Contract
Job ID: 179274
Job Overview:
The mission of the Data Protection (DP) group is to implement the organization's Data Cybersecurity Strategy by architecting, engineering, deploying, and operating technical data security controls and capabilities for the enterprise. This is achieved through a focus on architectural rigor, automation, Agile delivery, and adoption of Data Protection Services control implementations by users and partners. The Data Protection Services (DPS) team designs, engineers, and operates solutions that secure data at rest and in transit, escalating inappropriate usage of data to incident responders. This role involves building APIs leveraging vendor SaaS solutions, microservices, and applications for scanning automation, masking, policy controls, scheduling, and authentication management.
Responsibilities:
  • Onboard new and maintain existing API microservices to support business needs and integrate with the tech ecosystem focused on sensitive data detection.
  • Support Development & Operational tasks involved in data security services, including service delivery, task automation, DevOps tasks, and on-call support.
  • Develop automation scripting and observability solutions to improve services continuously.
  • Participate in design and code reviews across the Data Protection Dev squad and stakeholder groups.
  • Engage in the agile structure and norms of the team.
  • Deliver knowledge sharing across global Data Protection squads and chapters through documentation, presentations, and internal postings.
  • Extend technical knowledge with challenging engineering projects and new technologies in areas like cloud data governance.
  • Collaborate with experts in various technologies and learn more about the financial industry through business stakeholders and industry events.

Qualifications:
  • Must Have:
    • Development: Python, FastAPI, Beanie
    • DevOps: Git, Jenkins, Test Automation
    • OS: Linux (in-depth), Windows
    • Agile: Jira
    • Database: MongoDB
    • Networking: Troubleshooting and debugging
    • Security Practices: Knowledge of critical cybersecurity controls
    • AI Software Development Lifecycle (AI SDLC): Working knowledge of secure and governed use of AI across all stages of development.
  • Would Be Nice:
    • Development: Data analytics, Java, Spring Boot, ReactJS/AngularJS
    • Orchestration: Docker, Kubernetes, Kafka
    • SRE: Flux, Grafana, Loki
    • Products: BigID, Varonis
    • Security: Snyk
  • Experience working within Agile teams.
  • Experience building and scaling APIs in a microservice environment.
  • Knowledge of IT Service Management (ITIL).
  • Ability to quickly learn and understand proprietary technologies in a complex, regulated environment.
  • Self-starter with proven experience in technical and application support of enterprise systems.
  • Excellent verbal and written communication skills with a collaborative approach.
  • An automation/orchestration mindset to reduce manual processes.

About PTR Global: PTR Global is a leading provider of information technology and workforce solutions. PTR Global has become one of the largest providers in its industry, with over 5000 professionals providing services across the U.S. and Canada. For more information visit ;br>
At PTR Global, we understand the importance of your privacy and security. We NEVER ASK job applicants to:
  • Pay any fee to be considered for, submitted to, or selected for any opportunity.
  • Purchase any product, service, or gift cards from us or for us as part of an application, interview, or selection process.
  • Provide sensitive financial information such as credit card numbers or banking information. Successfully placed or hired candidates would only be asked for banking details after accepting an offer from us during our official onboarding processes as part of payroll setup.

Pay Range: $60 - $64/hour on W2
The specific compensation for this position will be determined by several factors, including the scope, complexity, and location of the role, as well as the cost of labor in the market; the skills, education, training, credentials, and experience of the candidate; and other conditions of employment. Our full-time consultants have access to benefits, including medical, dental, vision, and 401K contributions, as well as PTO, sick leave, and other benefits mandated by applicable state or localities where you reside or work.
If you receive a suspicious message, email, or phone call claiming to be from PTR Global do not respond or click on any links. Instead, contact us directly at +1 . To report any concerns, please email us at
During the hiring process, we may use artificial intelligence (AI) tools to assist in evaluating information related to your application. These tools may help analyze job-related qualifications or assist recruiters in reviewing applications and interview responses. AI-generated information is one factor considered in our hiring process. Final employment decisions are made by qualified hiring personnel and are not based solely on AI-generated recommendations.