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7 дней назад

Vice President, AI Risk and Governance

137 093 - 228 454$
Формат работы
onsite
Тип работы
fulltime
Грейд
c_level
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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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.
  • Assess architecture, models, data, integrations, security, third-party dependencies, controls, operating processes, and residual exposure.
  • 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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