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$38.5K

$58.2K

$87K

How much do cyber grc jobs pay per year?

As of May 28, 2026, the average yearly pay for cyber grc in the United States is $58,171.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,000.00 and $64,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Cyber GRC (Governance, Risk, and Compliance) professional, and why are they important?

To thrive as a Cyber GRC professional, you need expertise in risk assessment, compliance frameworks (such as ISO 27001, NIST, or GDPR), and a solid understanding of cybersecurity principles, often backed by a degree in information security or related fields. Familiarity with GRC tools like Archer, ServiceNow GRC, or MetricStream, as well as certifications such as CISA, CISSP, or CRISC, is typically required. Strong analytical thinking, attention to detail, and effective communication are crucial soft skills for managing policies and engaging stakeholders. These skills ensure organizations can identify, manage, and mitigate cyber risks while maintaining regulatory compliance and protecting sensitive information.

What are some common challenges faced by professionals in Cyber GRC roles and how can they be addressed?

Professionals in Cyber GRC (Governance, Risk, and Compliance) roles often encounter challenges such as keeping up with constantly evolving regulations, ensuring company-wide compliance, and effectively communicating risk to stakeholders. To address these challenges, it's important to stay updated on industry standards, leverage automated GRC tools to streamline processes, and develop strong communication skills to translate technical risks into business terms. Collaboration with IT, legal, and business teams is also essential for creating a robust compliance culture.

What is Cyber GRC?

Cyber GRC stands for Cyber Governance, Risk, and Compliance. It refers to the integrated collection of capabilities that enable an organization to reliably achieve objectives, address uncertainty, and act with integrity when managing cybersecurity risks. Professionals in Cyber GRC help organizations develop policies, assess risks, comply with regulations, and ensure ongoing security governance. Their work is essential for building strong cybersecurity frameworks and maintaining compliance with laws such as GDPR, HIPAA, or PCI DSS.

What is the difference between Cyber Grc vs Cyber Security Analyst?

AspectCyber GrcCyber Security Analyst
CertificationsISO 27001 Lead Implementer, CISSP, CISACompTIA Security+, CISSP, CEH
Work EnvironmentPolicy development, risk management, compliance teamsSecurity monitoring, incident response, vulnerability assessment
Employer & Industry UsageFinancial, healthcare, government sectors focusing on governanceIT security teams across various industries

Cyber Grc professionals focus on establishing policies, managing risks, and ensuring compliance within organizations. In contrast, Cyber Security Analysts primarily monitor security systems, respond to incidents, and identify vulnerabilities. While both roles require certifications like CISSP, their daily tasks and focus areas differ significantly, with Grc emphasizing governance and analysts focusing on technical security operations.

More about Cyber Grc jobs
What cities are hiring for Cyber Grc jobs? Cities with the most Cyber Grc job openings:
What states have the most Cyber Grc jobs? States with the most job openings for Cyber Grc jobs include:
What job categories do people searching Cyber Grc jobs look for? The top searched job categories for Cyber Grc jobs are:
Cyber Grc jobs near you
Infographic showing various Cyber Grc job openings in the United States as of May 2026, with employment types broken down into 98% Full Time, and 2% Contract. Highlights an 34% Physical, 24% Hybrid, and 42% Remote job distribution, with an average salary of $58,171 per year, or $28 per hour.
Cyber AI Data Engineer Senior Consultant

Cyber AI Data Engineer Senior Consultant

Deloitte

Jersey City, NJ

Other

Posted 15 days ago

Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

60th of 138 rated financial services

Job description

Are you interested in improving the cyber and organizational risk profiles of leading companies? Do you want to build the data foundations that power the next generation of AI-enabled cyber defense?

If yes, then Deloitte's Cyber team could be the place for you.

We are looking for a hands-on Data Engineer to build and operate the governed data foundations powering cyber risk, compliance evidence, and agentic AI-enabled cyber workflows. You will design production-grade pipelines and services that support risk reporting, continuous controls monitoring, and AI-assisted security operations-built with strong governance, lineage, privacy-by-design, and audit-ready evidence.

This role is ideal for engineers who can bridge modern data engineering and software development with Governance, Risk, and Compliance (GRC) expectations in regulated enterprise environments.

Recruiting for this role ends on 6/5/2026.

Work You'll Do

As a Senior Consultant, you will design, build, and run trusted data and AI foundations that enable cyber risk and compliance outcomes, including:

         Building scalable batch and stream processing pipelines that ingest security telemetry, control evidence, and compliance artifacts into governed data stores (lakehouse/warehouse).

         Designing data models for risk and controls domains (KRIs, issues/defects, risk acceptance, control testing outcomes, audit evidence, policy exceptions) and enabling self-service analytics and dashboards.

         Implementing data quality checks, lineage, metadata, and access controls to support auditability, regulatory defensibility, and repeatable evidence generation.

         Developing AI-enabled capabilities that accelerate GRC and cyber operations-such as evidence summarization, control testing assist, policy Q&A, investigation copilots, ticket triage, and exception reasoning-using agentic patterns including tool/function calling, workflow orchestration, and Retrieval-Augmented Generation (RAG).

         Engineering secure integrations between data platforms, GRC workflows, and enterprise systems (APIs, event patterns, connectors), with observability and runbooks for production support.

         Partnering with Cyber, Risk, Compliance, Privacy, and Legal stakeholders to translate requirements into implementable controls and developer-ready guardrails.

Technologies You'll Work With

         Languages & Frameworks: Python, SQL, Java/Go/JavaScript; LangChain/LangGraph, CrewAI, AutoGen, Semantic Kernel

         Data & AI Platforms: Vector databases (Pinecone, Weaviate, Elastic), Knowledge Graphs, RAG pipelines, LLMOps/MLOps tooling

         Cloud & Infrastructure: AWS, Azure, or GCP; Kubernetes, Docker, Terraform/IaC, GitOps CI/CD

         GRC & Security: ServiceNow GRC, Archer, OneTrust, BigID; SIEM/SOAR data, vulnerability data, identity logs

The Team

You will join a cyber engineering team focused on enabling resilient, secure, and compliant operations through modern data platforms and AI-enabled automation. The team builds repeatable assets-reference architectures, accelerators, and governance patterns-to help clients modernize and scale cyber and GRC programs.

Qualifications

Required

         Bachelor's degree or equivalent practical experience.

         4+ years of hands-on experience in data engineering and software development (Python and SQL required).

         Demonstrated experience building production data pipelines and data models (batch and/or streaming) with strong engineering discipline (CI/CD, testing, monitoring, incident response).

         Demonstrated experience implementing governance controls in data and AI systems: data classification, PII handling, least-privilege access, encryption/secrets, retention, audit logging, and lineage/metadata.

         Experience supporting GRC workflows and evidence needs (risk reporting, audit data requests, controls monitoring/testing, compliance metrics, or GRC tooling integrations).

         Practical experience building agentic or LLM-enabled applications in enterprise settings (RAG, vector/hybrid retrieval, tool/function calling, evaluation/monitoring, prompt-injection defenses, and secure access patterns).

         Experience with one or more major cloud platforms and modern deployment patterns (containers, IaC, secured APIs, secrets management).

         Ability to travel 0-25%, on average, based on client and project needs.

         Limited immigration sponsorship may be available.

Preferred

         Previous consulting or Big 4 experience.

         Hands-on experience with Java, Go, or JavaScript a plus.

         Experience integrating with governance and privacy platforms (e.g., ServiceNow GRC, OneTrust) and building evidence pipelines that map to control objectives.

         Experience with security telemetry pipelines (SIEM/SOAR data, vulnerability data, identity logs, cloud security posture findings).

         Experience operationalizing LLMOps/MLOps capabilities (evaluation, monitoring, versioning, governance workflows).

         Security certifications (Security+, CISM, CISA, CISSP, cloud certifications) or equivalent experience building secure systems.

         Experience working with cross-functional stakeholders and translating control requirements into implementable engineering tasks.

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $118,700 - 218,600. 

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

#CyberDTP27

Information for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html

Qualifications:

Are you interested in improving the cyber and organizational risk profiles of leading companies? Do you want to build the data foundations that power the next generation of AI-enabled cyber defense?

If yes, then Deloitte's Cyber team could be the place for you.

We are looking for a hands-on Data Engineer to build and operate the governed data foundations powering cyber risk, compliance evidence, and agentic AI-enabled cyber workflows. You will design production-grade pipelines and services that support risk reporting, continuous controls monitoring, and AI-assisted security operations-built with strong governance, lineage, privacy-by-design, and audit-ready evidence.

This role is ideal for engineers who can bridge modern data engineering and software development with Governance, Risk, and Compliance (GRC) expectations in regulated enterprise environments.

Recruiting for this role ends on 6/5/2026.

Work You'll Do

As a Senior Consultant, you will design, build, and run trusted data and AI foundations that enable cyber risk and compliance outcomes, including:

         Building scalable batch and stream processing pipelines that ingest security telemetry, control evidence, and compliance artifacts into governed data stores (lakehouse/warehouse).

         Designing data models for risk and controls domains (KRIs, issues/defects, risk acceptance, control testing outcomes, audit evidence, policy exceptions) and enabling self-service analytics and dashboards.

         Implementing data quality checks, lineage, metadata, and access controls to support auditability, regulatory defensibility, and repeatable evidence generation.

         Developing AI-enabled capabilities that accelerate GRC and cyber operations-such as evidence summarization, control testing assist, policy Q&A, investigation copilots, ticket triage, and exception reasoning-using agentic patterns including tool/function calling, workflow orchestration, and Retrieval-Augmented Generation (RAG).

         Engineering secure integrations between data platforms, GRC workflows, and enterprise systems (APIs, event patterns, connectors), with observability and runbooks for production support.

         Partnering with Cyber, Risk, Compliance, Privacy, and Legal stakeholders to translate requirements into implementable controls and developer-ready guardrails.

Technologies You'll Work With

         Languages & Frameworks: Python, SQL, Java/Go/JavaScript; LangChain/LangGraph, CrewAI, AutoGen, Semantic Kernel

         Data & AI Platforms: Vector databases (Pinecone, Weaviate, Elastic), Knowledge Graphs, RAG pipelines, LLMOps/MLOps tooling

         Cloud & Infrastructure: AWS, Azure, or GCP; Kubernetes, Docker, Terraform/IaC, GitOps CI/CD

         GRC & Security: ServiceNow GRC, Archer, OneTrust, BigID; SIEM/SOAR data, vulnerability data, identity logs

The Team

You will join a cyber engineering team focused on enabling resilient, secure, and compliant operations through modern data platforms and AI-enabled automation. The team builds repeatable assets-reference architectures, accelerators, and governance patterns-to help clients modernize and scale cyber and GRC programs.

Qualifications

Required

         Bachelor's degree or equivalent practical experience.

         4+ years of hands-on experience in data engineering and software development (Python and SQL required).

         Demonstrated experience building production data pipelines and data models (batch and/or streaming) with strong engineering discipline (CI/CD, testing, monitoring, incident response).

         Demonstrated experience implementing governance controls in data and AI systems: data classification, PII handling, least-privilege access, encryption/secrets, retention, audit logging, and lineage/metadata.

         Experience supporting GRC workflows and evidence needs (risk reporting, audit data requests, controls monitoring/testing, compliance metrics, or GRC tooling integrations).

         Practical experience building agentic or LLM-enabled applications in enterprise settings (RAG, vector/hybrid retrieval, tool/function calling, evaluation/monitoring, prompt-injection defenses, and secure access patterns).

         Experience with one or more major cloud platforms and modern deployment patterns (containers, IaC, secured APIs, secrets management).

         Ability to travel 0-25%, on average, based on client and project needs.

         Limited immigration sponsorship may be available.

Preferred

         Previous consulting or Big 4 experience.

         Hands-on experience with Java, Go, or JavaScript a plus.

         Experience integrating with governance and privacy platforms (e.g., ServiceNow GRC, OneTrust) and building evidence pipelines that map to control objectives.

         Experience with security telemetry pipelines (SIEM/SOAR data, vulnerability data, identity logs, cloud security posture findings).

         Experience operationalizing LLMOps/MLOps capabilities (evaluation, monitoring, versioning, governance workflows).

         Security certifications (Security+, CISM, CISA, CISSP, cloud certifications) or equivalent experience building secure systems.

         Experience working with cross-functional stakeholders and translating control requirements into implementable engineering tasks.

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $118,700 - 218,600. 

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

#CyberDTP27

Information for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html

Education:Bachelor's DegreeEmployment Type:

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