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Cybersecurity Risk Management Jobs in Independence, MO

Emphasizes a systematic approach to security assessment and connects cybersecurity to business risk management, compliance requirements, and ethical computing practices. * Curriculum Awareness ...

Emphasizes a systematic approach to security assessment and connects cybersecurity to business risk management, compliance requirements, and ethical computing practices. * Curriculum Awareness ...

Cyber Security Analyst Retail & E-Commerce (2-3 Years Experience) Company: AaraTech Inc About the ... management activities * Support security audits and risk assessments * Maintain security ...

Aspis strives to make enterprise cybersecurity solutions and professional services accessible to ... Prepare and maintain assessment and authorization packages under the Risk Management Framework ...

This is NOT an Information Technology, Cybersecurity, Information Security, or Enterprise Risk Management position. *** In this highly visible role, you'll evaluate commercial risks, provide expert ...

This is NOT an Information Technology, Cybersecurity, Information Security, or Enterprise Risk Management position. *** In this highly visible role, you'll evaluate commercial risks, provide expert ...

This is NOT an Information Technology, Cybersecurity, Information Security, or Enterprise Risk Management position. *** In this highly visible role, you'll evaluate commercial risks, provide expert ...

Showing results 21-40

Cybersecurity Risk Management information

See Independence, MO salary details

$52K

$121.2K

$169.6K

How much do cybersecurity risk management jobs pay per year?

As of Aug 23, 2026, the average yearly pay for cybersecurity risk management in Independence, MO is $121,228.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,200.00 and $136,800.00 per year, depending on experience, location, and employer.

What is cybersecurity risk management?

Cybersecurity risk management is the process of identifying, assessing, and prioritizing risks to an organization's digital assets and information systems. It involves implementing strategies and controls to minimize the impact of potential cyber threats, such as data breaches, malware, and unauthorized access. The goal is to balance security measures with business needs, ensuring sensitive information remains protected while maintaining operational efficiency. Effective risk management is ongoing, adapting to new threats and changes within the organization.

What are the key skills and qualifications needed to thrive in cybersecurity risk management, and why are they important?

To thrive in Cybersecurity Risk Management, you need a solid understanding of information security principles, risk assessment methodologies, compliance standards, and typically a degree in cybersecurity or a related field. Familiarity with risk management frameworks (such as NIST or ISO 27001), security tools, and professional certifications like CISSP or CRISC is highly valued. Strong analytical thinking, effective communication, and problem-solving skills help professionals translate technical risks for non-technical stakeholders and foster collaboration. These competencies are crucial to proactively identifying threats, managing vulnerabilities, and ensuring organizational resilience in a rapidly evolving digital landscape.

What are some common challenges faced by professionals in cybersecurity risk management, and how can they be addressed?

Professionals in Cybersecurity Risk Management often encounter challenges such as keeping up with rapidly evolving cyber threats, balancing security needs with business objectives, and ensuring compliance with industry regulations. Addressing these challenges requires continuous learning, effective communication with stakeholders, and close collaboration with IT, legal, and business teams. Building strong partnerships across departments and investing in ongoing training can help mitigate these obstacles and support proactive risk management.

What is the difference between Cybersecurity Risk Management vs Cybersecurity Analyst?

AspectCybersecurity Risk ManagementCybersecurity Analyst
CertificationsCRISC, CISSP, CISMCompTIA Security+, CEH, CISSP
Work EnvironmentRisk assessment, policy development, strategic planningMonitoring security systems, incident response, vulnerability analysis
Employer & Industry UsageFinancial, healthcare, government, large enterprisesIT departments, cybersecurity firms, corporate security teams

Cybersecurity Risk Management focuses on identifying, assessing, and mitigating security risks at an organizational level, often involving policy creation and strategic planning. In contrast, a Cybersecurity Analyst primarily monitors security systems, responds to incidents, and analyzes vulnerabilities. Both roles require similar certifications but serve different functions within cybersecurity teams.

What job categories do people searching Cybersecurity Risk Management jobs in Independence, MO look for?

The top searched job categories for Cybersecurity Risk Management jobs in Independence, MO are:

What cities near Independence, MO are hiring for Cybersecurity Risk Management jobs?

Cities near Independence, MO with the most Cybersecurity Risk Management job openings:

Infographic showing various Cybersecurity Risk Management job openings in Independence, MO as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $121,228 per year, or $58.3 per hour.

IT Governance & Security Architect

Advantage Tech

Kansas City, MO • On-site, Remote

Full-time

Re-posted 14 days ago


Job description

The Artificial Intelligence (AI) team is responsible for driving automation, data-driven decision making and software modernization using AI centric tools. Currently, we leverage machine learning, natural language processing, predictive analytics, and generative AI to enhance customer experience, and improve operational efficiency. This includes utilizing fraud protection software to ensure regulatory and system availability.

As an AI Governance & Security Architect, you will be responsible for developing and leading enterprise frameworks that ensure the ethical, secure, and compliant adoption of AI within the financial organization. You will bridge cybersecurity, risk management, and AI lifecycle governance to safeguard sensitive data and models against threats, while meeting regulatory obligations. You will also provide strategic leadership across IT, risk, compliance, and business functions to embed responsible AI practices, strengthen resilience against AI-specific risks, and enable innovation in a secure and controlled manner. This is a subset of the overall responsibilities which will include multiple initiatives as assigned by IT leadership. 

This role is hybrid (Mon through Thu on-site / Fri remote)

How you will spend your time:

  • Define and implement enterprise-wide AI governance frameworks to ensure responsible, ethical, and compliant use of AI in financial operations.
  • Develop and enforce AI security standards aligned with regulatory requirements (e.g., FFIEC, OCC, GLBA, GDPR, ISO 42001, NIST AI RMF).
  • Partner with risk, compliance, and legal teams to create policies covering AI model lifecycle management, bias detection, explainability, and auditability.
  • Oversee secure AI/ML solution deployment in both on-premises and cloud environments (AWS, Azure, GCP), ensuring robust data protection and encryption practices.
  • Conduct AI security risk assessments, threat modeling, and red team testing for generative AI and predictive models.
  • Establish monitoring frameworks for AI systems to track drift, anomalies, and adversarial threats.
  • Provide architectural guidance on integrating AI platforms with existing banking systems (ACH, RTP, Wires, Core Banking, Payment Hubs).
  • Lead AI security incident response and ensure remediation processes meet financial regulatory standards.
  • Serve as a subject matter expert for internal stakeholders on AI governance, regulatory compliance, and ethical AI adoption.
  • Mentor junior architects and engineers in AI governance and cybersecurity best practices.

We are excited to talk if you have:

  • Bachelor’s degree in Computer Science, Cybersecurity, Data Science, or related field and at least 7 years of professional experience in enterprise architecture, information security, or technology governance in financial services, OR equivalent combination of education and work experience.
  • Proven track record of implementing governance frameworks, risk management strategies, and compliance programs for emerging technologies.
  • Familiarity with financial services regulations and security requirements.
  • Experience collaborating with auditors, regulators, and compliance teams.
  • Strong understanding of AI/ML lifecycle management, including model development, validation, deployment, and monitoring.
  • Knowledge of data governance principles, MDM (Golden Record, Canonical Models), and regulatory compliance in financial services.
  • Proficiency in cloud-native AI/ML platforms (AWS SageMaker, Bedrock, Azure AI, GCP Vertex).
  • Familiarity with security frameworks (NIST, ISO 27001/42001, CIS Controls).
  • Ability to translate complex AI and security concepts into business-friendly language.

Bonus Points if you have:

  • Master’s degree in Information Security, Artificial Intelligence, or related discipline. 
  • At least 10 years of experience in financial services or regulated industries.
  • Demonstrated leadership in AI governance, cybersecurity, or enterprise architecture initiatives.
  • Certifications such as CISSP, CISM, ISO 42001 Lead Auditor, or Certified AI Governance Professional.
  • Experience presenting to executive leadership and regulators.
  • Hands-on experience with AI observability tools (e.g., Fiddler, Arize, MLflow).
  • Familiarity with secure federated learning, differential privacy, and adversarial ML defenses.
  • Experience leading cross-functional AI security initiatives in regulated industries.
  • Advanced knowledge of cryptography, data anonymization, and AI-driven fraud detection techniques.

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