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Ai Risk Manager Jobs in Missouri (NOW HIRING)

Imperial PFS

Senior Security AI Engineer

Kansas City, MO · On-site

$125 - $150/hr

Conduct risk assessments, gap analyses, and control maturity evaluations. * Support audits ... Lead vulnerability management, penetration testing coordination, and remediation prioritization.

Ports North

AI Program Manager

Kansas City, MO · On-site

$150 - $200/hr

AI Program Manager Position Summary We are seeking a strategic and influential AI Program Manager ... Establish program governance, success metrics, risk management frameworks, and executive-level ...

Hubbell Incorporated

Manager, AI Platforms

Saint Louis, MO · On-site

$138K/yr

Define and review platform performance measures, using service, risk, and cost trends to guide ... management, site reliability engineering, AI/ML operations, or enterprise application support.

Hubbell Incorporated

Manager, AI Platforms

Saint Louis, MO · On-site

$138K/yr

Define and review platform performance measures, using service, risk, and cost trends to guide ... management, site reliability engineering, AI/ML operations, or enterprise application support.

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Ai Risk Manager information

What is the difference between Ai Risk Manager vs Data Scientist?

AspectAi Risk ManagerData Scientist
Required CredentialsTypically requires a degree in risk management, AI, or related fields; certifications in AI or risk management are commonRequires a degree in computer science, statistics, or related fields; certifications in data analysis or machine learning are common
Work EnvironmentWorks in financial, insurance, or tech industries focusing on AI risk assessment and mitigationWorks across industries analyzing data, building models, and deriving insights
Employer & Industry UsageUsed by organizations managing AI deployment risks, especially in regulated sectorsUsed by companies developing AI solutions, data-driven products, and analytics teams

The main difference is that an Ai Risk Manager focuses on identifying and mitigating risks associated with AI systems, often requiring knowledge of risk management and AI ethics. In contrast, a Data Scientist primarily analyzes data and builds models to extract insights, with less emphasis on risk mitigation. Both roles may overlap in AI projects but serve distinct functions within organizations.

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Ai Risk Manager jobs near you

Senior Cybersecurity Consultant, Financial Services

Jobtailor

California, MO • On-site

$150 - $200/hr

Other

Posted yesterday

New

Job description

  • Lead and support second-line cybersecurity and technology risk assessments, program enhancements, and transformation initiatives
  • Assess cybersecurity governance, policies and standards, risk and control frameworks, risk appetite, metrics/KRIs, issue management, and executive and board reporting
  • Advise clients on financial services regulatory expectations and industry frameworks, including FFIEC, GLBA, NYDFS Part 500, SEC cybersecurity requirements, NIST CSF, NIST 800-53, and CIS Controls
  • Provide cybersecurity risk expertise across IAM, data protection, cloud security, third-party risk, vulnerability management, incident response, and cyber resilience
  • Support cybersecurity regulatory readiness, examinations, remediation efforts, and responses to regulatory findings
  • Serve as a trusted advisor and extension of client CISO, cybersecurity risk, technology risk, and enterprise risk teams
  • Communicate cybersecurity risks, findings, and recommendations to technical teams, senior executives, and board-level stakeholders
  • Lead engagement workstreams and mentor junior team members
  • Contribute to financial services cybersecurity practice and solution development
  • Continuously learn, collaborate across teams, and use technology and emerging AI capabilities to improve efficiency, insights, and client outcomes
  • Develop client relationships, contribute to account strategy, support delivery excellence, and build trusted partnerships
Requirements
  • Bachelor’s degree in Cybersecurity, Information Systems, Computer Science, Engineering, Risk Management, Finance, or a related field
  • 2+ years of experience in cybersecurity, technology risk, information security, regulatory advisory, or related consulting or industry roles
  • Experience working with or supporting financial services organizations or other highly regulated environments
  • Understanding of second-line risk management, including risk assessment, oversight and challenge, issue management, risk appetite, governance, and reporting
  • Knowledge of cybersecurity frameworks and financial services regulatory expectations
  • Strong analytical, project management, written communication, and executive presentation skills
  • Ability to translate technical cybersecurity risks into clear business and risk implications
  • Experience in a second-line cybersecurity or technology risk function within banking, insurance, asset/wealth management, capital markets, fintech, or another financial services organization
  • Knowledge of FFIEC, GLBA, NYDFS Part 500, SEC cybersecurity requirements, and other financial services regulatory expectations
  • Experience with IAM, cloud security, data protection, third-party risk, vulnerability management, cyber resilience, and incident response
  • Experience supporting regulatory examinations, cybersecurity program assessments, remediation programs, or risk transformation initiatives
  • Experience developing or enhancing cybersecurity risk appetite, KRIs, metrics, executive reporting, and board reporting
  • Certifications such as CISSP, CISM, CRISC, or similar credentials
  • Experience with emerging technology risks, including AI governance, AI risk management, and secure adoption of AI technologies
  • Must verify identity and eligibility to work in the United States
  • Crowe is not sponsoring work authorization at this time
  • Expected to act ethically and with integrity
Core Competencies

Demonstrates expertise in cybersecurity risk management, regulatory compliance, and technology risk assessments within financial services. Proficient in translating technical risks into business implications while leading teams and enhancing cybersecurity frameworks.

Highest-signal resume keywords
  • Cybersecurity Risk Management
  • Regulatory Compliance
  • Risk Assessment
  • IAM
  • CISSP
Hard Skills
  • Cybersecurity Governance
  • Risk Control Frameworks
  • Incident Response
  • Cloud Security
  • Data Protection
  • Vulnerability Management
  • Cyber Resilience
  • Executive Reporting
  • Metrics/KRIs
  • Risk Appetite
Soft Skills
  • Analytical Skills
  • Project Management
  • Written Communication
  • Executive Presentation
  • Mentoring
Certifications & Qualifications
  • CISSP
  • CISM
  • CRISC
Industry Keywords
  • FFIEC
  • GLBA
  • NYDFS Part 500
  • SEC Cybersecurity Requirements
  • NIST CSF
  • NIST 800-53
  • CIS Controls
  • Financial Services
  • Regulatory Advisory
  • Second-Line Risk Management
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