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Remote Technology Risk Management Jobs in Kansas City, MO

... LI-AV1 #LI-Remote Responsibilities Help businesses stay safe, resilient, and prepared for the ... and management exposures. This is NOT an Information Technology, Cybersecurity, Information ...

... Remote Help businesses stay safe, resilient, and prepared for the future. Are you a risk control ... and management exposures. This is NOT an Information Technology, Cybersecurity, Information ...

Partnering with Product, Program Management, Compliance, Financial Crimes, Legal, and Information ... technologies, and pragmatic application of risk and control expertise to both routine and novel ...

... Technology Asset Management, and Third-Party Risk Management workstreams in partnership with ... This compensation range is specific to Remote role and takes into account the wide range of factors ...

... manage cyber, risk, and technology programs. Recruiting for this role ends on 12/31/2026. Work you ... This compensation range is specific to a Remote role and takes into account the wide range of ...

Risk Claims Manager

Kansas City, KS ยท Remote

$85K - $95K/yr

We use the latest technology to provide quality service and on-time delivery to our customers. CCFS ... This position has the potential to be remote. ESSENTIAL JOB DUTIES * Personally investigate and ...

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Remote Technology Risk Management information

See Kansas City, MO salary details

$14

$29

$72

How much do remote technology risk management jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for remote technology risk management in Kansas City, MO is $29.60, according to ZipRecruiter salary data. Most workers in this role earn between $18.99 and $37.79 per hour, depending on experience, location, and employer.

What is remote technology risk management?

Remote Technology Risk Management refers to the process of identifying, assessing, and mitigating risks associated with the use of technology in remote work environments. This includes ensuring data security, managing access controls, and developing incident response plans for employees who work outside traditional office settings. Professionals in this field help organizations prevent data breaches, comply with regulations, and maintain business continuity as more employees work remotely. Effective risk management is crucial for protecting sensitive information and maintaining the integrity of IT systems in a distributed workforce.

What are some common challenges faced in a remote technology risk management role, and how can they be effectively addressed?

In a remote technology risk management role, one common challenge is maintaining effective communication and collaboration with cross-functional teams, especially when assessing and mitigating risks across different time zones. To address this, professionals often rely on clear documentation, regular virtual meetings, and collaborative risk management tools. Additionally, staying updated on emerging threats and ensuring consistent security practices across remote environments can be demanding, but leveraging centralized frameworks and continuous training helps maintain a strong risk posture. Building strong relationships with IT, compliance, and business stakeholders also supports more proactive and coordinated risk management.

What are the key skills and qualifications needed to thrive as a remote technology risk management professional, and why are they important?

To thrive in Remote Technology Risk Management, you need a solid understanding of IT risk assessment, cybersecurity principles, and regulatory compliance, often supported by a degree in information systems or a related field. Familiarity with risk management frameworks (such as NIST or ISO 27001), GRC (governance, risk, and compliance) tools, and relevant certifications like CRISC or CISSP is typically expected. Strong analytical skills, attention to detail, and effective written communication are essential soft skills for evaluating risks and reporting findings remotely. These competencies are crucial for identifying vulnerabilities, ensuring regulatory compliance, and protecting organizational assets in a distributed work environment.

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

AspectRemote Technology Risk ManagementRemote Cybersecurity Analyst
CertificationsCRISC, CISSP, CISACISSP, CompTIA Security+
Work EnvironmentRisk assessment, policy development, complianceThreat detection, incident response, vulnerability analysis
Industry UsageFinance, healthcare, tech companiesFinancial institutions, government agencies, tech firms

Remote Technology Risk Management focuses on identifying and mitigating technology risks across an organization, ensuring compliance and strategic risk reduction. In contrast, Remote Cybersecurity Analysts primarily detect and respond to security threats and vulnerabilities. While both roles require cybersecurity certifications and work in similar environments, their core responsibilities differ: risk management emphasizes proactive policies, whereas cybersecurity analysts handle active threat response.

What are the most commonly searched types of Technology Risk Management jobs in Kansas City, MO?

The most popular types of Technology Risk Management jobs in Kansas City, MO are:

What are popular job titles related to Remote Technology Risk Management jobs in Kansas City, MO?

For Remote Technology Risk Management jobs in Kansas City, MO, the most frequently searched job titles are:

What job categories do people searching Remote Technology Risk Management jobs in Kansas City, MO look for?

The top searched job categories for Remote Technology Risk Management jobs in Kansas City, MO are:

Infographic showing various Remote Technology Risk Management job openings in Kansas City, MO as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $61,574 per year, or $29.6 per hour.

IT Governance & Security Architect

Advantage Tech

Kansas City, MO โ€ข On-site, Remote

Full-time

Re-posted 10 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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