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Privacy Manager Jobs in Renton, WA (NOW HIRING)

Databricks

Principal Engineer - Privacy

Seattle, WA · On-site

The Principal Engineer - Privacy will enhance security for customers by identifying vulnerabilities ... Identity Management, Access Control, Key Management, Inter-Service Authentication, Secure ...

LiveRamp

Technical Account Manager

Seattle, WA · On-site

A groundbreaking leader in consumer privacy, data ethics, and foundational identity, LiveRamp is ... Technical Client Solutions Management * Lead the end-to-end onboarding and technical adoption of ...

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All JobsPrivacy JobsPrivacy Manager JobsPrivacy Manager Jobs in Renton, WA

Privacy Manager information

See Renton, WA salary details

$111.9K

$129.9K

$145.7K

How much do privacy manager jobs pay per year?

As of Aug 8, 2026, the average yearly pay for privacy manager in Renton, WA is $129,923.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,600.00 and $145,100.00 per year, depending on experience, location, and employer.

What are the most common challenges a privacy manager faces when implementing new data privacy policies?

One of the most common challenges Privacy Managers encounter is ensuring company-wide compliance with evolving privacy regulations while balancing business objectives. Implementing new policies often requires extensive cross-departmental collaboration, employee training, and updating existing systems, which can be met with resistance or misunderstandings. Additionally, Privacy Managers must stay updated on global regulatory changes and adapt practices quickly to prevent non-compliance risks. Clear communication, ongoing education, and stakeholder engagement are essential to successfully overcoming these challenges.

What does a privacy manager do?

A Privacy Manager is responsible for ensuring that an organization complies with data protection laws and regulations. They develop, implement, and oversee policies and practices that protect sensitive information from unauthorized access or breaches. Privacy Managers also conduct privacy risk assessments, provide training to staff, respond to data subject requests, and serve as the main point of contact for privacy-related issues. Their work is crucial in helping organizations maintain the trust of customers and stakeholders while avoiding legal penalties.

What does a privacy manager do?

A privacy manager is responsible for risk management and data security for an organization. In this career, you achieve this security by ensuring compliance with local, state, and federal regulations and implementing a privacy program for the company to keep information safe. The information you protect can be employee biometric data, consumer credit card information, or simpler things, like sales information and market reports. As the privacy manager, you are considered the subject matter expert when it comes to risk management and data security, so your daily duties involve providing advice in these areas, working with cybersecurity teams on potential breaches, managing issue resolution, and other responsibilities depending on the industry.

How much do global privacy managers make?

Global privacy managers typically earn between $90,000 and $150,000 annually, depending on experience, location, and company size. Senior roles with certifications like CIPP or CIPM can command higher salaries, especially in large organizations or regions with strict data privacy regulations.

What are the key skills and qualifications needed to thrive as a privacy manager, and why are they important?

To thrive as a Privacy Manager, you need in-depth knowledge of data privacy laws and regulations (like GDPR or CCPA), risk assessment, and policy development, typically supported by a relevant degree and privacy certifications such as CIPP/E or CIPM. Familiarity with privacy management software, compliance monitoring tools, and data mapping systems is essential. Strong communication, attention to detail, and leadership skills help in training staff, managing incidents, and guiding organizational compliance. These skills ensure that organizations protect sensitive information, stay compliant with evolving laws, and maintain trust with clients and stakeholders.

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

AspectPrivacy ManagerData Protection Officer
CertificationsPrivacy certifications (e.g., CIPP, CIPM)GDPR DPO certification, privacy certifications
Work EnvironmentCorporate, tech companies, healthcareRegulatory agencies, large organizations, compliance roles
Employer & IndustryBusinesses handling personal data, tech, financeOrganizations subject to GDPR, legal compliance

While both roles focus on data privacy, a Privacy Manager typically oversees privacy policies and compliance within a company, whereas a Data Protection Officer (DPO) is a designated role mandated by regulations like GDPR to ensure legal compliance and act as a point of contact with authorities. The roles often overlap but differ mainly in scope and regulatory requirements.

More about Privacy Manager jobs
What job categories do people searching Privacy Manager jobs in Renton, WA look for? The top searched job categories for Privacy Manager jobs in Renton, WA are:
What cities near Renton, WA are hiring for Privacy Manager jobs? Cities near Renton, WA with the most Privacy Manager job openings:
Privacy Manager jobs near you
Infographic showing various Privacy Manager job openings in Renton, WA as of August 2026, with employment types broken down into 84% Full Time, 13% Part Time, 1% Temporary, and 2% Contract. Highlights an 84% Physical, 2% Hybrid, and 14% Remote job distribution, with an average salary of $129,923 per year, or $62.5 per hour.

Senior AI Engineer - Privacy

Cardinal Integrated Technologies Inc

Bellevue, WA • On-site

$117K - $161K/yr

Full-time

Re-posted 7 days ago

Job description

Job Summary:
Cardinal Integrated Technologies Inc is seeking a Senior AI Engineer – Privacy to design, build, and operationalize AI systems for their data privacy platform. The role involves collaborating with various teams to implement responsible AI principles and ensure compliance with privacy regulations while delivering production-grade AI solutions.
Responsibilities:
• Design and build multi-agent systems, orchestration layers, and agentic workflows using frameworks such as LangChain, LangGraph, Google ADK, or equivalent.
• Develop and operationalize RAG (Retrieval-Augmented Generation) pipelines integrating LLMs (e.g. Claude, Gemini, GPT-4) into production privacy applications.
• Implement structured prompting, decision workflows, and tool orchestration — including MCP (Model Context Protocol)-based architectures — for autonomous agent systems.
• Build AI-powered automation for privacy operations including intelligent DSR routing, threshold monitoring, agentic data quality checks, and automated regulatory notifications.
• Enable human-in-the-loop controls and escalation paths for AI-assisted decisions in sensitive privacy workflows.
• Build and optimize data pipelines using Azure Data Factory, Databricks, Snowflake, or PySpark to support AI model training, fine-tuning, and inference.
• Apply prompt engineering, few-shot learning, and fine-tuning techniques to adapt foundation models for privacy-specific use cases.
• Implement vector databases and embedding strategies to power RAG pipelines over Client internal privacy knowledge bases and policy documents.
• Ensure data quality, lineage, and governance standards are maintained across all AI training and inference pipelines.
• Deploy and manage AI workloads on Azure or AWS, including serverless inference endpoints, container registries, and GPU/compute resources.
• Build and maintain CI/CD pipelines for AI model deployment using GitLab or Azure DevOps, applying MLOps best practices.
• Implement monitoring, alerting, and performance tracking for production AI models and agent systems using Splunk, AppDynamics, or Grafana.
• Apply containerization (Docker) and orchestration (Kubernetes) to ensure scalable and reliable AI service deployments.
• Implement responsible AI principles — including fairness, transparency, and explainability — across all AI systems used in privacy operations.
• Ensure AI-assisted workflows comply with CCPA, CPRA, TCPA, and other applicable state and federal privacy regulations.
• Design and maintain audit trails and human-in-the-loop checkpoints for AI decisions affecting consumer privacy rights.
• Collaborate with legal, compliance, and privacy operations teams to translate regulatory requirements into AI solution guardrails and constraints.
• Partner with data engineers, full stack engineers, product managers, and privacy stakeholders to deliver end-to-end AI-powered privacy solutions.
• Mentor junior engineers on AI/ML engineering practices, agentic patterns, and responsible AI design principles.
• Produce clear technical documentation, architecture diagrams, and model cards for AI systems in production.
• Contribute to internal accelerators, reusable AI component libraries, and the broader engineering community of practice.
Qualifications:
Required:
• 7yrs of exp – AI Engineer – Privacy
• 7yrs of exp Azure Data Factory, Azure, GitLab
• 5yrs of exp Databricks Snowflake
Company:
We are a company of IT professionals who passionately believe that good quality products & services are delivered by great resources. Founded in 2013, the company is headquartered in Monmouth Junction, USA, with a team of 201-500 employees. The company is currently Growth Stage.

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