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Intelligent Audit Jobs in Ridgewood, NJ (NOW HIRING)

Outfront Media, Inc.

Senior IT Auditor

New York, NY · On-site

$100K - $110K/yr

Through creative excellence, high-impact environments, and intelligent audience data, we help ... The job will include IT audit, reviews of application implementations, and operational/SOX ...

Outfront Media

Senior IT Auditor

New York, NY · On-site

$100K - $110K/yr

Through creative excellence, high-impact environments, and intelligent audience data, we help ... The job will include IT audit, reviews of application implementations, and operational/SOX ...

Candid Health

Security GRC Lead

New York, NY · On-site

It acts like an intelligent, automated back-office that handles complex medical claims from start ... You will turn point-in-time audits into a continuous compliance telemetry system that keeps our ...

AEG

ITSM Workflow Engineer

Manhattan, NY · On-site

$140K - $160K/yr

Conduct regular workflow audits to identify automation gaps, redundancies, and performance bottlenecks, producing a prioritized improvement backlog AI Integration & Intelligent Operations * Deploy ...

Brex

Staff Product Manager, Expenses

New York, NY · Hybrid

$240K - $300K/yr

... audit, and producing ERP-ready records. As Staff Product Manager for Expenses, you will turn that complexity into one intelligent system for employees, managers, finance teams, and accountants. You ...

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All JobsIntelligent Audit JobsIntelligent Audit Jobs in Ridgewood, NJ

Intelligent Audit information

See Ridgewood, NJ salary details

$61.7K

$121.7K

$159.4K

How much do intelligent audit jobs pay per year?

As of Sep 4, 2026, the average yearly pay for intelligent audit in Ridgewood, NJ is $121,653.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,200.00 and $138,100.00 per year, depending on experience, location, and employer.

What is intelligent audit?

Intelligent Audit is a company that specializes in freight audit and payment solutions, leveraging advanced technology and analytics to help businesses optimize their shipping and logistics operations. By automating the auditing process, Intelligent Audit identifies billing errors, recovers overpayments, and provides actionable insights to improve supply chain efficiency. Their services are widely used by companies looking to reduce shipping costs, ensure carrier compliance, and gain greater visibility into their transportation spend.

What are the key skills and qualifications needed to thrive as an intelligent audit specialist, and why are they important?

To thrive as an Intelligent Audit Specialist, you need a solid understanding of audit principles, data analysis, and logistics or supply chain operations, often supported by a degree in accounting, finance, or a related field. Familiarity with auditing software, data analytics tools (such as Excel or SQL), and transportation management systems is typically required. Strong attention to detail, analytical thinking, and effective communication are standout soft skills in this role. These skills ensure accurate audit findings, streamlined processes, and valuable insights for organizational decision-making.

What are the main challenges faced by professionals working in intelligent audit roles, and how can they overcome them?

Professionals in Intelligent Audit roles often encounter challenges such as managing large volumes of complex data, staying current with evolving regulatory standards, and effectively communicating technical findings to non-technical stakeholders. Overcoming these challenges typically involves leveraging advanced data analytics tools, participating in continuous learning about compliance requirements, and developing strong collaboration and communication skills. Working closely with IT, finance, and compliance teams can also help ensure that audits are thorough, accurate, and actionable.

What is the difference between Intelligent Audit vs Data Analyst?

AspectIntelligent AuditData Analyst
Required CredentialsTypically certifications in auditing, data analysis, or related fieldsOften requires degrees in statistics, data science, or related disciplines
Work EnvironmentFinancial, insurance, or compliance sectors focusing on audit processesVarious industries analyzing data to inform business decisions
Employer & Industry UsageUsed by financial institutions, insurance companies, and regulatory agenciesUsed across multiple sectors including finance, marketing, healthcare

Intelligent Audit focuses on reviewing and verifying data for compliance and accuracy, often within financial or regulatory contexts. Data Analysts interpret and visualize data to support strategic decisions across diverse industries. While both roles involve data handling, Intelligent Audit emphasizes compliance and audit processes, whereas Data Analysts focus on insights and reporting.

What are popular job titles related to Intelligent Audit jobs in Ridgewood, NJ?

For Intelligent Audit jobs in Ridgewood, NJ, the most frequently searched job titles are:

What job categories do people searching Intelligent Audit jobs in Ridgewood, NJ look for?

The top searched job categories for Intelligent Audit jobs in Ridgewood, NJ are:

What cities near Ridgewood, NJ are hiring for Intelligent Audit jobs?

Cities near Ridgewood, NJ with the most Intelligent Audit job openings:

Intelligent Audit jobs near you
Infographic showing various Intelligent Audit job openings in Ridgewood, NJ as of August 2026, with employment types broken down into 89% Full Time, 8% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $121,653 per year, or $58.5 per hour.

Privileged Access Engineer in New York, NY/Alpharetta, GA (Fulltime, Onsite)

Northern Base

New York, NY • On-site

Full-time

Posted 13 days ago

Job description

Privileged Access Engineer (PAM) with AI Capabilities
New York, NY/Alpharetta, GA
Fulltime, Onsite
 
 
Role Overview
 
o The Privileged Access Engineer (PAM) with AI Capabilities is responsible for securing privileged access across enterprise systems by implementing advanced PAM solutions while leveraging Artificial Intelligence (AI) and Machine Learning (ML) to enhance threat detection, automation, and decision-making.
o This role blends cybersecurity engineering with AI-driven analytics to proactively identify risks, automate privileged access controls, and enable adaptive security frameworks.
 
Key Responsibilities
 
1. PAM Engineering & Implementation
· Design, implement, and manage PAM solutions:
o CyberArk, BeyondTrust, Delinea, HashiCorp Vault
· Configure:
o Privileged account onboarding and lifecycle management
o Password vaulting, rotation, and credential management
o Privileged Session Management (PSM)
· Implement Just-In-Time (JIT) and Just-Enough-Access (JEA) models
 
2. AI-Driven Security & Automation
· Develop and integrate AI/ML models to:
o Detect anomalous privileged access behavior
o Identify insider threats and suspicious activity
o Predict and prevent access misuse
· Use AI for:
o Behavioral analytics (UEBA – User & Entity Behavior Analytics)
o Risk-based authentication and access decisions
· Implement intelligent automation for:
o Privileged account onboarding/offboarding
o Access approvals and policy enforcement
 
3. Advanced Monitoring & Threat Detection
· Leverage AI-enabled SIEM tools (e.g., Splunk, Microsoft Sentinel) for:
o Real-time monitoring of privileged sessions 
o Automated alert prioritization 
· Implement: 
o Session recording and playback o AI-driven anomaly detection and alert tuning 
· Support incident response and forensic investigations  
 
4. Integration & Data Engineering 
· Integrate PAM with: o IAM systems (Entra ID, Okta, SailPoint) 
o Security tools (SIEM, SOAR, EDR/XDR) 
o Cloud platforms (AWS, Azure, GCP) 
· Work with: o APIs, REST services, JSON 
o Data pipelines for feeding security analytics platforms 
· Build AI-ready datasets from logs and access activity  
 
5. Governance, Risk & Compliance 
· Enforce: 
o Least privilege access 
o Zero Trust principles 
· Support compliance with: 
o SOX, GDPR, PCI-DSS, ISO 27001 
· Generate AI-assisted compliance reports and audit insights 
· Contribute to policy definition and governance frameworks  
 
6. Automation & DevSecOps 
· Develop scripts and automation workflows using: 
o Python, PowerShell, Bash 
· Integrate PAM into: 
o CI/CD pipelines (DevSecOps) 
· Implement AI-assisted remediation workflows using SOAR tools  
 
7. Collaboration & Innovation 
· Partner with: 
o Security operations (SOC) teams 
o Data science / AI teams 
o IAM architects and cloud engineers 
· Evaluate emerging AI-driven security tools 
· Drive innovation in Intelligent Identity Security and Autonomous Access Management