Vice President, AI Risk and Governance

Location: Fort Mill

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If you're ready to lead with intention and discover what’s possible, LPL Financial invites you to apply today.

Job Overview:
The AI Governance organization is seeking a Vice President, AI Governance to own the firm’s enterprise AI governance strategy and provide authoritative oversight and credible challenge across the AI lifecycle. This leader will establish the governance framework, risk standards, decision rights, and oversight expectations that enable responsible AI adoption while protecting the firm, its clients, and its regulatory standing. This is not a policy administration or committee coordination role.

The Vice President must understand how AI solutions are designed, trained or configured, integrated, deployed, and monitored; independently assess whether risks and controls are understood; challenge business and technical teams beyond vendor claims and management assertions; and drive clear decisions on approval, conditions, remediation, escalation, or risk acceptance. The role will advise senior executives and governance committees and represent the program in regulatory, audit, and other independent reviews.

Roles & Responsibilities :
Own and evolve the enterprise AI Governance Framework, including policies, standards, risk taxonomy, risk-tiering methodology, approval authorities, decision rights, lifecycle requirements, monitoring expectations, and escalation protocols. Set the strategic direction and target operating model for AI governance, translating regulatory developments and emerging AI risks into practical, examination-defensible requirements. Provide independent review and credible challenge of AI and machine learning use cases, including generative AI, large language models, AI agents, predictive models, embedded vendor capabilities, and other AI-enabled solutions.

Evaluate AI solutions at the architecture, model, data, integration, security, third-party, control, and operating-process levels to identify material risks, unsupported assumptions, control weaknesses, and residual exposure. Challenge business and technical owners on use-case design, data suitability and lineage, model behavior, testing, validation, human oversight, guardrails, access, monitoring, incident response, change management, and decommissioning. Chair or lead enterprise AI governance forums and drive risk-based decisions, ensuring material conditions, exceptions, risk acceptances, and unresolved matters are clearly documented, assigned, monitored, and escalated.

Serve as the senior AI governance advisor to executive leadership, providing concise recommendations on whether and under what conditions AI capabilities should proceed. Establish clear accountability across Business, Technology, Information Security, Data Governance, Privacy, Legal, Compliance, Model Risk, Third-Party Risk, Enterprise Risk Management, and Internal Audit. Define meaningful key risk indicators, performance measures, portfolio insights, and executive reporting that show AI exposure, control effectiveness, exceptions, issues, emerging risks, and program maturity.

Oversee regulatory examinations, Internal Audit reviews, independent assessments, and other inquiries involving AI governance, and ensure identified gaps are translated into sustainable remediation. Build and lead a high-performing AI governance team with the judgment, technical fluency, and discipline needed to operate a credible second-line oversight program. Promote responsible…