Senior Vice President, Enterprise Risk

AI Explained; United States; À distance; USD 180 000 - 280 000; Plein temps

Résumé du poste

AI Explained is seeking a Senior Vice President, Enterprise Risk to design and lead the company-wide risk management framework remotely in the United States. You will drive risk identification, assessment, monitoring, and reporting across strategic, operational, financial, technology, and compliance domains, with a focus on AI product risks.

You will chair risk committees, craft policies and controls, and partner with senior leadership to embed risk considerations into product roadmaps and

Qualifications

• Extensive experience designing enterprise risk management frameworks and governance models.
• Strong ability to analyze complex data and present actionable risk insights to executives.
• Experience interfacing with legal, finance, and technology teams to embed risk considerations into strategy.

Responsabilités

• Chair or support risk committees and prepare materials for executive and board discussions.
• Lead enterprise risk assessments across business units and set risk appetite/tolerances.
• Develop policies, controls, and risk-mitigating actions in coordination with senior leadership.
• Mentor risk and analytics professionals across teams and stay current on regulatory trends.

Connaissances

Enterprise risk

Governance

Scenario analysis

Communication

Leadership

AI risk familiarity

Regulatory knowledge

Data governance

Model risk management

Financial risk

Formation

Graduate degree in finance/economics/risk management/business

FRM/PRM/CFA certifications

Description du poste

Company Description AI Explained is a technology company focused on making artificial intelligence understandable, trustworthy, and usable for organizations and individuals. The company develops tools, content, and advisory services that help clients navigate AI adoption, governance, and risk. Team members collaborate across disciplines, including data science, risk management, and education, to deliver practical solutions rooted in real-world use cases. AI Explained values transparency, ethical innovation, and rigorous analysis in every product and engagement.

Role Description The Senior Vice President, Enterprise Risk is a full-time remote role responsible for designing, leading, and continuously improving the company’s enterprise-wide risk management framework. This role oversees identification, assessment, monitoring, and reporting of strategic, operational, financial, technology, and compliance risks, with a particular focus on risks related to AI products and services. Day-to-day responsibilities include leading risk assessments across business units, setting risk appetite and tolerances, developing policies and controls, and partnering with senior leadership to embed risk considerations into strategic planning and product roadmaps. The SVP, Enterprise Risk will chair or support relevant risk committees, prepare materials for executive and board-level discussions, and ensure clear communication of risk issues and mitigation plans. This role also mentors risk and analytics professionals, collaborates with legal, finance, and technology teams, and stays current on emerging regulatory and industry trends in AI and financial risk.

Qualifications

• Strong expertise in Risk Management, including enterprise risk frameworks, governance models, and control design.
• Deep knowledge of Market Risk and Finance, with experience in modeling, scenario analysis, and risk-adjusted performance measurement.
• Background in Financial Services or related sectors, with exposure to regulatory expectations and industry best practices.
• Advanced Analytical Skills, including the ability to interpret complex data, build clear narratives, and present actionable insights to senior stakeholders.
• Proven experience in senior leadership roles, managing cross-functional teams and influencing executive and board-level decisions.
• Familiarity with AI technologies, data governance, or model risk management is highly beneficial.
• Excellent written and verbal communication skills, with the ability to convey technical and risk concepts in accessible language.
• Graduate degree in finance, economics, risk management, business, or a related field preferred; professional certifications (e.g., FRM, PRM, CFA) are an advantage.