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Ai Risk Management Framework Jobs (NOW HIRING)

Whoop

AI Risk & Compliance Analyst

Boston, MA · On-site

Develop, maintain, and refine AI risk and compliance controls aligned with relevant frameworks, including ISO/IEC 42001, NIST Cybersecurity Framework, NIST AI Risk Management Framework, EU AI Act ...

Lincoln Financial

AI Risk Management Analyst

Radnor, PA · Hybrid

$94K - $151K/yr

Requisition #: 76178 The Role at a Glance This position is responsible for executing AI Risk Management practices across the enterprise by identifying, assessing, mitigating, and monitoring complex ...

Lincoln Financial

AI Risk Management Analyst

Radnor, PA · Hybrid

$94K - $151K/yr

Requisition #: 76178 The Role at a Glance This position is responsible for executing AI Risk Management practices across the enterprise by identifying, assessing, mitigating, and monitoring complex ...

Lincoln Financial

AI Risk Management Analyst

Radnor, PA · On-site

$94K - $151K/yr

Requisition #: 76178 The Role at a Glance This position is responsible for executing AI Risk Management practices across the enterprise by identifying, assessing, mitigating, and monitoring complex ...

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How much do ai risk management framework jobs pay per hour?

As of Sep 10, 2026, the average hourly pay for ai risk management framework in the United States is $30.34, according to ZipRecruiter salary data. Most workers in this role earn between $19.47 and $38.70 per hour, depending on experience, location, and employer.

What is an AI Risk Management Framework?

An AI Risk Management Framework is a structured approach for identifying, assessing, and mitigating risks associated with the design, development, deployment, and use of artificial intelligence systems. It provides guidelines and best practices to ensure AI systems are trustworthy, ethical, and aligned with legal and societal expectations. Organizations use these frameworks to address potential challenges such as bias, security vulnerabilities, privacy concerns, and unintended consequences. By implementing an AI risk management framework, companies can better manage risks and improve transparency and accountability in their AI initiatives.

What are some common challenges encountered when implementing an AI Risk Management Framework in an organization?

Implementing an AI Risk Management Framework often involves navigating challenges such as aligning diverse stakeholder expectations, integrating risk assessments into existing workflows, and ensuring compliance with rapidly evolving regulations. Team members may need to bridge knowledge gaps between technical AI development and risk management practices, which requires effective communication and training. Additionally, organizations must continuously update their frameworks to address new AI risks, making adaptability and ongoing learning essential for success in this role.

What are the key skills and qualifications needed to thrive as an AI Risk Management Framework specialist, and why are they important?

To thrive as an AI Risk Management Framework Specialist, you need expertise in risk assessment, AI/ML systems, and regulatory compliance, typically supported by a degree in computer science, data science, or a related field. Familiarity with frameworks like NIST AI RMF, risk management tools, and governance platforms is often required, as well as relevant certifications such as CRISC or CISSP. Strong analytical thinking, attention to detail, and clear communication skills help professionals navigate complex technical and ethical challenges. These skills ensure the safe, ethical, and compliant deployment of AI systems within organizations.

What is the difference between Ai Risk Management Framework vs Data Scientist?

AspectAi Risk Management FrameworkData Scientist
Primary FocusIdentifying and mitigating AI-related risks, ensuring ethical and safe AI deploymentAnalyzing data to extract insights, build models, and support decision-making
Required CredentialsKnowledge of AI ethics, risk assessment, and relevant certificationsDegree in data science, statistics, or related fields; programming skills
Work EnvironmentCorporate, tech companies, industries deploying AI systemsResearch labs, tech firms, finance, healthcare

The Ai Risk Management Framework focuses on managing risks associated with AI systems, ensuring safety and compliance. In contrast, Data Scientists primarily analyze data to develop models and generate insights. While both roles require technical skills, their core objectives differ: risk mitigation versus data analysis.

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Ai Risk Management Framework jobs near you
Infographic showing various Ai Risk Management Framework job openings in the United States as of September 2026, with employment types broken down into 1% As Needed, 84% Full Time, 13% Part Time, and 2% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $63,100 per year, or $30.3 per hour.

AI Risk & Compliance Analyst

Boston, MA • On-site

Whoop
Fitness and Sports Centers • 501 - 1,000 employees
Learn more about Whoopexternal

Full-time

Re-posted 25 days ago

Job description

At WHOOP, we are on a mission to unlock human performance and extend healthspan. The Governance, Risk, and Compliance (GRC) team helps ensure technology and cybersecurity risks are identified, assessed, and communicated clearly across the organization.
WHOOP is seeking a Governance, Risk, and Compliance Analyst II, to lead the day-to-day operation and support the ongoing risk management program at GRC in a fast-paced, high-growth environment. This role is responsible for operations of GRC initiatives - including but not limited to structured cybersecurity and AI risk assessments, exceptions management,
SDLC reviews and security compliance process ownership. The role will partner closely with Legal, Security, Product, and other teams to advance compliance objectives, reduce enterprise
risk, and strengthen operational resilience.
The ideal candidate combines strong analytical thinking, critical risk mind-set, familiarity with AI governance and has the ability to communicate complex risk scenarios clearly to both technical and non-technical stakeholders.
RESPONSIBILITIES:
  • Lead governance, risk assessment, and compliance activities specific to AI/ML systems,
    LLM integrations, AI agents, and retrieval-augmented workflows
  • Partner with the Senior Security Engineer, AI/ML to integrate risk assessment findings into
    GRC frameworks and translate technical risk into governance requirements
  • Develop, maintain, and refine AI risk and compliance controls aligned with relevant
    frameworks, including ISO/IEC 42001, NIST Cybersecurity Framework, NIST AI Risk
    Management Framework, EU AI Act, GDPR, and other applicable standard
  • Execute risk assessments for new AI vendors, LLM platforms, AI APIs, and enterprise AI
    tools, including third-party risk scoring, control mapping, and remediation tracking
  • Manage the vendor risk assessment lifecycle for AI/ML related suppliers, ensuring
    documented controls, evidence collection, and follow-up on remediation items
  • Support audit activities, capturing evidence and coordinating cross-functional
    stakeholders for internal and external compliance reviews involving AI systems
  • Develop and maintain AI-specific GRC policies, standards, and procedures that map to AI
    risk domains, explainability requirements, and compliance obligations
  • Facilitate AI risk and compliance reporting to leadership, including risk dashboards, trend
    analysis, control effectiveness measurements, and key metrics
  • Monitor emerging AI governance requirements, guidance, and best practices, translating
    them into GRC program updates and compliance recommendations
  • Support security incident documentation and post-incident analysis for AI system events,
    coordinating with Legal and Security teams to ensure appropriate governance response

QUALIFICATIONS:
  • 6+ years of experience in Governance, Risk & Compliance, including risk assessment,
    policy development, audit coordination, and third-party risk management
  • Demonstrated experience performing governance or risk assessments for AI/ML systems,
    including LLM integrations, model pipelines, AI agents, or data-driven algorithmic systems
  • Experience translating AI-specific risks (i.e., data poisoning, prompt injection, model
    misuse, data leakage, explainability gaps) into documented control requirements and
    governance standards
  • Hands-on experience conducting third-party risk assessments for AI vendors, LLM
    platforms, AI APIs, or machine learning service providers
  • Experience mapping AI-related risks and controls to frameworks such as ISO/IEC 42001,
    NIST CSF, NIST AI RMF, ISO/IEC 42001, GDPR, PCI DSS, or similar standards
  • Strong understanding of data governance concepts relevant to AI systems, including
    training data lineage, data retention, model output handling, and human oversight
    requirements
  • Experience supporting regulatory readiness or compliance efforts related to AI systems
  • Proven ability to collaborate with engineering and security teams to validate control
    implementation and remediation
  • Bachelor's degree in Information Security, Computer Science, Business Risk, Compliance,
    or a related field

This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.
Interested in the role, but don't meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.
WHOOP is an Equal Opportunity Employer and participates in E-verify to determine employment eligibility
The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values.
At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company's long-term growth and success.
The U.S. base salary range for this full-time position is $100,000 - $140,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.
In addition to the base salary, the successful candidate will also receive benefits and a generous equity package.
These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate's specific qualifications, expertise, and alignment with the role's requirements.
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About Whoop

Sourced by ZipRecruiter

At WHOOP, we're on a mission to unlock human performance. WHOOP empowers users (Olympians, Professional Athletes, Fitness Enthusiasts, etc) to perform at a higher level through a deeper understanding of their bodies and daily lives.

Industry

Fitness and sports centers

Company size

501 - 1,000 Employees

Headquarters location

Boston, MA, US

Year founded

2012

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