3 дня назад
SVP, Technology Risk & AI Governance
172 525 - 287 473$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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