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Ai Risk Manager Jobs in Florida (NOW HIRING)

Basic Qualifications * 15+ years of experience in AI, technology strategy, risk management, or management consulting. * 5+ years in a client-facing leadership role with direct responsibility for ...

Basic Qualifications * 15+ years of experience in AI, technology strategy, risk management, or management consulting. * 5+ years in a client-facing leadership role with direct responsibility for ...

... AI Risk Governance and Responsible AI framework as the organization expands the use of AI-powered products and internal tooling. • Manage, mentor, and grow a team of 2-5 GRC analysts and junior ...

Serve as an internal advisor on AI risk management, controls, and ethical considerations * Cross-Functional and Cross-Brand Collaboration * Collaborate regularly with Product, Technology, Marketing ...

Serve as an internal advisor on AI risk management, controls, and ethical considerations * Cross-Functional and Cross-Brand Collaboration * Collaborate regularly with Product, Technology, Marketing ...

Serve as an internal advisor on AI risk management, controls, and ethical considerations * Cross-Functional and Cross-Brand Collaboration * Collaborate regularly with Product, Technology, Marketing ...

This position supports AI governance, risk assessment, technical feasibility analysis, and pilot ... Identity & Access Management (Azure AD/Entra) * API integrations and data flows * Cloud/SaaS ...

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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.

What cities in Florida are hiring for Ai Risk Manager jobs? Cities in Florida with the most Ai Risk Manager job openings:
Infographic showing various Ai Risk Manager job openings in Florida as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.
Senior Manager, Enterprise Risk

Senior Manager, Enterprise Risk

Intercontinental Exchange Holdings, Inc.

Jacksonville, FL • On-site

Full-time

Posted 21 days ago


Key responsibilities

  • Own and lead the enhancement and ongoing management of the risk program, including risk registers, risk appetite metrics, and key risk indicators.

  • Conduct and oversee risk assessments, including RCSAs, emerging risk identification, and scenario analysis driving actionable insights and outcomes.

  • Own the production and evolution of risk reporting for senior leadership, executive committees, and board-level forums.


Job description

Overview
Job Purpose
The Enterprise Risk Management function (ERM) is responsible for administering the risk management framework for risks that threaten Intercontinental Exchange and its subsidiary businesses. This role is responsible for leading the design, execution, and continuous enhancement of the risk framework, identifying and assessing emerging risks, and providing strategic insights to stakeholders across the organization, with particular focus on Mortgage Technology.
The Senior Manager will act as a key leader within the second line of defense, providing credible challenge and thought leadership to stakeholders across business lines and governance teams. The ideal candidate will combine housing finance and risk management expertise with strong technical acumen. Successful candidates will be comfortable operating with influence rather than explicit authority.
Responsibilities
  • Risk Framework
    • Own and lead the enhancement and ongoing management of the risk program, including risk registers, risk appetite metrics, and key risk indicators (KRIs).
    • Conduct and oversee risk assessments, including RCSAs, emerging risk identification, and scenario analysis driving actionable insights and outcomes.
    • Ensure consistent and effective execution of risk practices across the business.
  • Risk Reporting, Insights & Governance
    • Own the production and evolution of risk reporting for senior leadership, executive committees, and board-level forums.
    • Translate data into clear, forward-looking insights that inform strategic decisions.
    • Escalate material risks and risk appetite breaches, ensuring timely and appropriate visibility.
  • Stakeholder Engagement & Influence
    • Serve as a trusted advisor to senior business leaders and functional heads, providing risk-based guidance and challenge.
    • Influence decision-making by embedding risk considerations into business strategy and operations.
    • Build and maintain strong relationships across the three lines of defense.
    • Lead engagement with senior stakeholders on complex or high-impact risk and control issues.
  • People Leadership
    • Mentor and develop junior team members, ensuring high-quality execution of team deliverables.
    • Set team priorities, allocate work, and ensure alignment with broader ERM objectives.
    • Foster a culture of execution, accountability, continuous improvement, and professional growth.
  • Continuous Improvement & Strategic Initiatives
    • Drive improvements in data quality, automation, and reporting efficiency.
    • Champion innovation, including the adoption of advanced analytics, AI tools, and emerging technologies.

Knowledge & Experience
  • 7+ years of progressive experience in enterprise risk management, governance, or a related function.
  • Demonstrated experience leading ERM programs, frameworks, and major initiatives.
  • Strong understanding and application of enterprise risk frameworks (e.g. COSO, ISO 31000).
  • Experience in mortgage lending, real estate, fintech, or consumer lending preferred.
  • Knowledge of technology risk, data privacy, cybersecurity, and third-party risk.
  • Familiarity with regulatory frameworks (e.g. CFPB, OCC, FFIEC, GLBA, GDPR).
  • Proficiency in Microsoft 365; experience with AI LLMs (e.g. Claude), SharePoint, and ServiceNow strongly preferred.
  • Experience leveraging or implementing data analytics, AI tools, or emerging technologies in risk environments is a plus.
  • Professional certifications (FRM, CRISC, PRM, CISA) are a plus.

Key Competencies
  • Strategic thinker with the ability to connect detailed insights to outcomes.
  • Ability to not only identify problems, but provide solutions.
  • Advanced analytical capabilities with sound judgment in complex, ambiguous environments.
  • Excellent communication skills, with experience presenting to senior executives and governance forums.
  • Proven ability to lead matrix teams, manage competing priorities, and drive execution.
  • Curious, adaptable, and proactive, with a mindset focused on continuous improvement and innovation.

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Intercontinental Exchange, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to legally protected characteristics.