SVP, Technology Risk & AI Governance

LPL Financial; New York (NY); Sur place; USD 350 000 - 650 000; Plein temps

Résumé du poste

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.

Responsabilités

• 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.

Connaissances

AI governance

Enterprise risk management

Regulatory risk & compliance

Executive leadership

Stakeholder communication

Formation

MBA or advanced degree in risk management

Description du poste

Position Summary

The

Position Summary

The SVP, Technology Risk & AI Governance is the enterprise leader accountable for enabling the responsible, secure, and scalable use of artificial intelligence. This executive will set the vision, operating model, policies, guardrails, and oversight needed to accelerate AI adoption while managing model, data, privacy, cybersecurity, ethical, compliance, and third‑party risks. The role requires a proven technology risk executive. Deep experience leading enterprise technology, cybersecurity, data, controls, and regulatory risk programs is a foundational expectation and the platform from which this leader will build and mature AI governance. The primary mandate is to translate that risk leadership into practical AI governance that protects the enterprise without slowing responsible innovation. The leader will serve as a trusted advisor and independent risk partner to senior executives, governance committees, and the Board, working across Technology, Information Security, Data, Legal, Compliance, Internal Audit, Model Risk, Procurement, and Business Operations.

Key Responsibilities

Enterprise AI Governance & Responsible AI Leadership

• Own and mature the enterprise AI governance strategy, framework, operating model, policies, standards, and decision rights.
• Establish practical guardrails and risk‑based approval paths for AI development, acquisition, deployment, monitoring, material change, and retirement.
• Oversee AI risk assessments spanning model performance, data quality, privacy, cybersecurity, intellectual property, bias, fairness, transparency, explainability, human oversight, and regulatory compliance.
• Lead governance for generative AI, machine learning, large language models, agentic AI, and other emerging AI capabilities.
• Maintain comprehensive AI inventories, use‑case classifications, lifecycle controls, exception processes, and evidence of accountable ownership.
• Define enterprise metrics, key risk indicators, dashboards, and escalation protocols that provide a clear view of AI risk exposure and control effectiveness.
• Monitor changes in AI regulation, supervisory guidance, industry standards, and market practices, and translate them into timely enterprise action.
• Advise business and technology leaders on how to innovate responsibly, balancing speed, client and employee value, and risk.

AI Risk, Controls & Monitoring

• Design and maintain an integrated AI risk and control framework aligned with enterprise risk management and existing technology, data, privacy, cybersecurity, compliance, and model risk programs.
• Establish testing, validation, ongoing monitoring, issue management, remediation, and continuous controls monitoring practices for AI solutions.
• Create clear accountability for AI outcomes across business owners, developers, vendors, control functions, and governance bodies.
• Oversee risk management for third‑party AI providers, embedded AI capabilities, data sources, and foundation models, including due diligence and ongoing monitoring.
• Identify emerging AI risks early and drive coordinated mitigation across the enterprise.

Technology Risk Leadership

• Lead and continuously strengthen the enterprise Technology Risk Management framework, policies, standards, risk appetite, key risk indicators, reporting, and escalation processes.
• Provide independent oversight and effective challenge across technology strategy, cloud adoption, cybersecurity, data governance, digital transformation, third‑party technology, and operational resilience.
• Drive integration of technology and AI risks into enterprise risk assessments, RCSA, compliance, audit, issue management, and control assurance programs.
• Present clear risk insights, trends, decisions, and recommendations to senior leadership, governance committees, regulators, auditors, and Board‑level stakeholders.

Regulatory, Governance & Stakeholder Leadership

• Ensure AI and technology risk programs align with applicable regulatory expectations and recognized industry frameworks.