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3 дня назад

SVP, Technology Risk & AI Governance

172 525 - 287 473$
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
SVP, Technology Risk & AI Governance (AI Governance/Financial Services): Leading enterprise AI governance and technology risk programs for a regulated wealth management firm with an accent on responsible AI, cybersecurity, data, privacy, model, and third-party risk. Focus on designing practical guardrails, monitoring AI lifecycle controls, advising executives and regulators, and building accountable governance capabilities across the enterprise.

Location: Fort Mill/Charlotte, United States

Salary: $172,525–$287,473 per year

Company

hirify.global is a U.S. wealth management firm supporting more than 32,000 financial advisors and approximately 1,100 financial institutions with investment solutions, fintech tools, custody, and practice management services.

What you will do

  • Own and mature the enterprise AI governance strategy, operating model, policies, standards, decision rights, and risk-based approval paths.
  • Oversee risk assessments and lifecycle controls for generative AI, machine learning, large language models, agentic AI, data, privacy, cybersecurity, fairness, explainability, and regulatory compliance.
  • Lead the technology risk management framework across cloud adoption, cybersecurity, data governance, third-party technology, digital transformation, and operational resilience.
  • Establish testing, validation, monitoring, issue management, remediation, metrics, dashboards, and escalation processes for AI and technology risks.
  • Advise executives, governance committees, regulators, auditors, and Board-level stakeholders while coordinating with Legal, Compliance, Privacy, Information Security, Internal Audit, Model Risk, and Data Governance.
  • Build and lead a high-performing team covering AI governance, technology risk, controls, and emerging risks.

Requirements

  • 10 or more years of progressive leadership experience in technology risk, cybersecurity risk, operational risk, model risk, internal audit, governance, risk and compliance, or related disciplines.
  • Demonstrated experience designing, implementing, or materially advancing enterprise AI governance and responsible AI programs.
  • Deep expertise in technology risk management, control design and testing, cloud risk, cyber risk, data governance, third-party risk, operational resilience, issue management, and regulatory engagement.
  • Hands-on knowledge of AI lifecycle risks and controls, including generative AI, machine learning, large language models, privacy, transparency, explainability, human oversight, and compliance.
  • Experience advising executive committees, regulators, auditors, and Board-level stakeholders, with strong judgment, influence, communication, and executive presence.
  • Bachelor’s degree in information technology, computer science, cybersecurity, risk management, business, data science, or a related field.

Nice to have

  • Experience in financial services, wealth management, banking, insurance, or another highly regulated industry.
  • Experience with the NIST AI Risk Management Framework, AI assurance, model validation, automated controls monitoring, or governance technologies.
  • Advanced degree or certifications such as CRISC, CISA, CISSP, CGEIT, or CISM.

Culture & Benefits

  • Competitive total rewards package with 401(k) matching, health benefits, employee stock options, paid time off, and volunteer time off.
  • Culture focused on accountability, transparency, constructive challenge, responsible innovation, and risk-informed decision-making.
  • Opportunity to influence enterprise governance and responsible adoption of emerging AI capabilities.

Hiring process

  • Candidate communication is conducted directly from an @lplfinancial.com email address.
  • LPL does not conduct interviews through chatroom forums or request payment or banking and credit card information during interviews.

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