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Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
Очень мало
$137к-228к/год
$190к$250кмедиана$280к
По похожим ролям (20) ~ $250к/год
72
Хорошая вакансия
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Это четко очерченная руководящая роль в развивающейся сфере управления рисками ИИ, но зарплата заметно ниже ориентира для сопоставимых позиций, что снижает привлекательность предложения.
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Ниже рынкаЧеткая зона ответственностиАктуальная специализация
Оценка от Hirify AI
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Vice President, AI Risk and Governance (AI Governance/Financial Services): Establishing and leading an enterprise AI governance framework for generative AI, large language models, AI agents, predictive models, and vendor-enabled solutions with an accent on risk standards, lifecycle oversight, and credible challenge. Focus on evaluating architecture, data, controls, security, privacy, and third-party exposure while driving executive decisions, regulatory responses, remediation, and team leadership.
Location: Fort Mill/Charlotte, United States. Other locations include Arlington, VA and New York, NY.
Pay range: $137,093.00–$228,454.00 base salary.
Company
hirify.global is a U.S. wealth management firm supporting financial advisors and financial institutions with investment solutions, fintech tools, custody, and practice management services.
What you will do
Own and evolve the enterprise AI Governance Framework, including policies, standards, risk taxonomy, tiering, approval authorities, decision rights, monitoring, and escalation protocols.
Set the strategic direction and target operating model for responsible AI governance in a highly regulated financial-services environment.
Independently review and challenge AI and machine learning use cases, including generative AI, large language models, AI agents, predictive models, and embedded vendor capabilities.
Lead governance forums, executive reporting, regulatory examinations, audit reviews, remediation, and risk-based approval or escalation decisions.
Build and lead a high-performing second-line AI governance team and drive accountability across business, technology, security, data, privacy, legal, compliance, model risk, and audit functions.
Requirements
Bachelor’s degree in computer science, data science, engineering, information systems, risk management, finance, law, public policy, or a related discipline; an advanced degree is preferred.
10+ years of progressive experience in technology risk, model risk, AI governance, cybersecurity, data risk, compliance, audit, or a related control discipline within financial services or another highly regulated industry.
5+ years of direct experience reviewing, governing, validating, auditing, implementing, or overseeing AI, machine learning, advanced analytics, or model-based solutions.
Experience challenging AI solutions at the architecture, model, data, and control levels and establishing or materially enhancing enterprise governance, risk, or control frameworks.
Advanced knowledge of generative AI, large language models, retrieval-augmented generation, AI agents, training and inference, prompt-based systems, model evaluation, monitoring, and third-party AI services.
Prior people leadership and experience advising executives, governance committees, regulators, or independent reviewers.
Nice to have
Experience leading AI governance, responsible AI, AI assurance, model risk, AI audit, or emerging technology risk within a regulated financial institution.
Hands-on experience with AI development, model validation, technical architecture, technology risk assessment, control testing, or AI assurance.
Knowledge of the NIST AI Risk Management Framework, ISO/IEC 42001, ISO/IEC 23894, model risk management principles, and emerging U.S. and global AI regulations.
Professional certification such as AIGP, CRISC, CISSP, CISM, CISA, FRM, or a comparable credential.
Culture & Benefits
Full-time employment with a focus on integrity, collaboration, continuous improvement, and client success.
401(k) matching, health benefits, employee stock options, paid time off, and volunteer time off.
Opportunity to support responsible innovation while distinguishing manageable risk from unacceptable exposure.
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