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Cissp Grc Jobs in Chicago, IL (NOW HIRING)

... CISA, CISSP, CIA, CPA, CRISC, or CISM Work Experience * Experience designing SAP controls * Experience using AuditBoard SOXHUB module * Experience configuring and deploying modern GRC tools

... CISA, CISSP, CIA, CPA, CRISC, or CISM Work Experience * Experience designing SAP controls * Experience using AuditBoard SOXHUB module * Experience configuring and deploying modern GRC tools

... CISA, CISSP, CIA, CPA, CRISC, or CISM Work Experience * Experience designing SAP controls * Experience using AuditBoard SOXHUB module * Experience configuring and deploying modern GRC tools

Ability to travel, as required * 3+ years' experience in governance, risk and compliance (GRC ... CISSP or equivalent certifications and/or experience * Demonstrated ability to apply technology ...

Cyber Oracle Cloud Security - Manager

Chicago, IL · On-site

$114.30K - $154.50K/yr

Certified Information Systems Security Professional (CISSP), Certified Information Security Manager ... GRC) solutions that help clients reduce risk and strengthen controls. You will lead assessments ...

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Cissp Grc information

See Chicago, IL salary details

$70K

$130.7K

$197.3K

How much do cissp grc jobs pay per year?

As of May 28, 2026, the average yearly pay for cissp grc in Chicago, IL is $130,657.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,200.00 and $149,400.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a CISSP GRC professional, and why are they important?

To thrive as a CISSP GRC (Governance, Risk, and Compliance) professional, you need deep knowledge of information security principles, risk management frameworks, and regulatory compliance, typically validated by the CISSP certification. Familiarity with tools such as GRC platforms (e.g., RSA Archer, ServiceNow GRC), risk assessment software, and compliance tracking systems is essential. Strong analytical thinking, attention to detail, and effective communication skills help you interpret complex regulations and collaborate with diverse stakeholders. These skills are critical to ensuring organizations meet regulatory requirements, manage risks proactively, and maintain a robust security posture.

How does a CISSP GRC professional typically collaborate with IT, legal, and business teams within an organization?

A CISSP GRC (Governance, Risk, and Compliance) professional often acts as a bridge between technical, legal, and business stakeholders. They work closely with IT teams to ensure security controls align with organizational policies, coordinate with legal departments to interpret regulatory requirements, and advise business leaders on risk management strategies. Regular cross-functional meetings, risk assessments, and policy reviews are common, making strong communication skills essential. This collaborative approach ensures that security and compliance initiatives support both regulatory standards and business objectives.

What is a CISSP GRC professional?

A CISSP GRC professional is an expert who combines the Certified Information Systems Security Professional (CISSP) certification with knowledge and experience in Governance, Risk, and Compliance (GRC) practices. These professionals help organizations align their security programs with business objectives, manage risks, and ensure compliance with relevant regulations and standards. They are responsible for developing, implementing, and monitoring security policies, procedures, and controls, while also conducting risk assessments and audits. Their work is critical for maintaining an organization's information security posture and meeting regulatory requirements.

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

AspectCissp GrcCissp Security Analyst
CertificationsCissp, GRC-focused certificationsCissp, Security certifications
Work EnvironmentGovernance, risk management, compliance teamsSecurity operations, incident response teams
Employer & IndustryOrganizations with compliance and risk needsOrganizations focusing on security monitoring

The Cissp Grc role primarily focuses on governance, risk management, and compliance, working closely with organizational policies. In contrast, a Cissp Security Analyst concentrates on security operations, monitoring, and incident response. While both roles require Cissp certification, their daily tasks and focus areas differ significantly, making each suitable for different career paths within cybersecurity.

What cities near Chicago, IL are hiring for Cissp Grc jobs? Cities near Chicago, IL with the most Cissp Grc job openings:
Cyber AI Data Engineer Senior Consultant

Cyber AI Data Engineer Senior Consultant

Deloitte

Chicago, IL • On-site

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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