Senior Vice President, Enterprise Risk

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.

• 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.