Vice President II, AI Risk and Governance

The Vice President II, AI Risk and Governance leads the firm’s enterprise artificial intelligence risk and governance function. This role is accountable for establishing and executing the firm’s multi-year AI risk strategy, governance framework, and operating model across business, technology, and control functions.

The VPII oversees enterprise capabilities including AI governance, risk assessment, model risk management, ongoing monitoring, control testing, and governance programs supporting the firm’s business functions, financial professionals, and institutional partners. The role establishes priorities, decision rights, risk standards, and control expectations governing the development, acquisition, deployment, and ongoing use of AI.

Serving as a senior advisor and credible challenge partner to executive leadership, the Vice President II translates complex technical, regulatory, and operational risks into clear business decisions. The role balances responsible AI adoption with regulatory expectations, customer protection, operational resilience, and the firm’s strategic objectives.

This is an enterprise leadership role requiring significant autonomy, technical and regulatory expertise, and the ability to build and lead a complex risk function in a rapidly evolving environment.

Responsibilities:

• Establish and execute the firm’s multi-year AI risk and governance strategy, ensuring alignment with enterprise objectives, technology strategy, risk appetite, and regulatory obligations.
• Lead an integrated enterprise function spanning AI governance, models and monitoring, model risk management, control testing, and governance partnership programs.
• Develop and maintain the enterprise AI governance framework, including policies, standards, risk-classification methodologies, approval requirements, control expectations, and governance forums.
• Advise executive leadership and shape firm-wide decisions regarding AI risk, adoption, deployment readiness, investment, prioritization, and risk acceptance.
• Lead executive-level AI risk and governance forums, elevate material decisions, and ensure clear accountability for resulting actions.
• Establish enterprise requirements for AI risk assessment, due diligence, model risk management, monitoring, control testing, issue management, and executive reporting, and ensure all relevant documentation is model ready.
• Establish and enforce governance frameworks supporting the use of AI across the firm’s business functions, financial professionals, institutional partners, and other applicable business models.
• Partner with Technology, Cybersecurity, Privacy, Legal, Compliance, Procurement, Third-Party Risk, Data Governance, Transformation, Operational Risk, and Internal Audit to align requirements and clarify accountability across the AI lifecycle.
• Define AI-specific risk requirements for third-party products, services, models, data, and technology.
• Represent AI Risk and Governance during regulatory examinations, internal audits, and other independent reviews.
• Build sustainable organizational capability by attracting, developing, and retaining senior leaders and specialized AI risk talent.
• Adapt the function’s strategy, operating model, and capabilities in response to changes in AI technology, business adoption, regulatory expectations, and the firm’s risk profile.

Artificial Intelligence (AI), Risk, Risk, Artificial Intelligence (AI), Business Model, Risk Management, Establish Priorities, Financial Services, Risk Analysis, Risk Modeling, We’re looking for strong collaborators who deliver exceptional client experiences and thrive in fast-paced, team-oriented environments. Our ideal candidates pursue greatness, act with integrity, and are driven to help our clients succeed. We value those who embrace creativity, continuous improvement, and contribute to a culture where we win together and create and share joy in our work., * Bachelor’s degree in Computer Science, Engineering, Risk Management, Economics, Finance, Data Science, Information Systems, or a related discipline. Advanced degree preferred.

• 12 or more years of progressively responsible experience across risk management, technology risk, model risk, compliance, data governance, cybersecurity, artificial intelligence, or another relevant control discipline, preferably within a regulated financial institution.
• 5 or more years of experience in AI, machine learning, model risk, data science governance, technology governance, or AI-related risk and compliance.
• Demonstrated experience establishing and executing multi-year strategies, operating models, risk frameworks, or enterprise governance programs.
• Experience leading in a regulated environment and supporting regulatory examinations, internal audits, independent reviews, or material remediation programs.

Competencies:

• Advanced knowledge of AI and machine-learning technologies and risks, with the technical depth to independently evaluate and credibly challenge AI architectures, development, testing, deployment controls, and monitoring.
• In-depth knowledge of AI-related regulatory developments, industry standards, and recognized risk-management frameworks, including the NIST AI Risk Management Framework and applicable ISO standards.

Preferences:

• Relevant professional certifications, such as Artificial Intelligence Governance Professional, Certified Information Systems Security Professional, Financial Risk Manager, Certified Risk Management Professional, or a comparable AI, privacy, cybersecurity, technology, or risk credential.

Actual base salary varies based on factors, including but not limited to, relevant skill, prior experience, education, base salary of internal peers, demonstrated performance, and geographic location. Additionally, LPL Total Rewards package is highly competitive, designed to support your success at work, at home, and at play - such as 401K matching, health benefits, employee stock options, paid time off, volunteer time off, and more. Your recruiter will be happy to discuss all that LPL has to offer!

LPL Financial Holdings Inc. (Nasdaq: LPLA) is among the fastest growing wealth management firms in the U.S. As a leader in the financial advisor-mediated marketplace(6) , LPL supports over 32,000 financial advisors and the wealth management practices of approximately 1,100 financial institutions, servicing and custodying approximately $2.3 trillion in brokerage and advisory assets on behalf of approximately 8 million Americans. The firm provides a wide range of advisor affiliation models, investment solutions, fintech tools and practice management services, ensuring that advisors and institutions have the flexibility to choose the business model, services, and technology resources they need to run thriving businesses. For further information about LPL, please visit www.lpl.com.

At LPL, independence means that advisors and institution leaders have the freedom they deserve to choose the business model, services, and technology resources that allow them to run a thriving business. They have the flexibility to do business their way. And they have the freedom to manage their client relationships, because they know their clients best. Simply put, we take care of our advisors and institutions, so they can take care of their clients.