Chief AI Risk & Technology Governance Leader

LPL Financial; New York (NY); On-site; USD 350,000 - 650,000; Full time

Job summary

LPL Financial is seeking an SVP, Technology Risk & AI Governance to lead enterprise AI governance, risk, and compliance. The role shapes policies, guardrails, and oversight for responsible AI adoption, spanning privacy, cybersecurity, third-party risk, and regulatory expectations.

The executive will partner across Technology, Information Security, Data, Legal, Compliance, Internal Audit, Model Risk, Procurement, and Business Operations to mature risk programs and enable innovation with controls.

Qualifications

• Proven technology risk executive with enterprise scope.
• Experience leading risk programs across technology, data, privacy, and cybersecurity.
• Ability to translate risk leadership into practical governance for AI.

Responsibilities

• Own and mature enterprise AI governance strategy, framework, operating model, policies, standards, and decision rights.
• Establish practical guardrails and risk-based approval paths for AI development, deployment, monitoring, and retirement.
• Oversee AI risk assessments spanning model performance, data quality, privacy, cybersecurity, IP, bias, transparency, and regulatory compliance.
• Lead governance for generative AI, ML, LLMs, and other AI capabilities.
• Maintain AI inventories, use‑case classifications, lifecycle controls, and ownership evidence.
• Define enterprise metrics, KRIs, dashboards, and escalation protocols for AI risk and control.
• Monitor AI regulation and industry standards, translating them into actions.
• Advise business and technology leaders on balancing speed, value, and risk.

Skills

AI governance

Enterprise risk management

Regulatory risk & compliance

Executive leadership

Stakeholder communication

Education

MBA or advanced degree in risk management

Job description

LPL Financial is seeking an SVP, Technology Risk & AI Governance to lead enterprise AI governance, risk, and compliance. The role shapes policies, guardrails, and oversight for responsible AI adoption, spanning privacy, cybersecurity, third-party risk, and regulatory expectations.

The executive will partner across Technology, Information Security, Data, Legal, Compliance, Internal Audit, Model Risk, Procurement, and Business Operations to mature risk programs and enable innovation with controls.