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Vice President, AI Risk and Governance

LPL Financial

Job at a glance

Category
AI Governance
Work arrangement
On-site
Location
Fort Mill, SC
Salary range
$137,093 to $228,454
Posted
Aug 26, 2026
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LPL Financial is hiring a Vice President, AI Risk and Governance in Fort Mill, SC. This is a AI Governance job in the governance, risk, and compliance field, with a posted range of $137,093 to $228,454. Review the full details below and apply directly with LPL Financial.

Job Description: Lead with Purpose, Unlock Your Team’s Passion At LPL, people leaders hold the key to the employee experience, shaping culture, driving performance, and guiding individuals to new heights. Because when that happens, we all win – clients, LPL, and most importantly our, employees. If you're ready to lead with intention and discover what’s possible, LPL Financial invites you to apply today. Job Overview: The VP will oversee risk governance, including artificial intelligence and other programs to support a strong risk culture that prioritizes risk identification and collaboration across the three lines of defense. The role will lead the day-to-day execution and continued maturation of the firm’s enterprise AI governance program, accountable for assessing and overseeing AI risk across LPL’s business functions, maintaining a defensible governance framework, and partnering across functions to enable responsible AI adoption at pace. This is a builder-operator role for a dynamic risk professional who can preserve examination defensible standards within an evolving regulated landscape and serving as a credible challenge partner to business, technology and control functions. Roles & Responsibilities: • Maintain and evolve the AI governance framework, polices and standards in alignment with current and emerging regulatory landscape and frameworks • Oversee, conduct and challenge risk assessments and gap analyses on AI solutions to identify and evaluate risks and ensure compliance with internal policies and external regulations. • Define and challenge control expectations for AI development and deployment, including cybersecurity and broader technology governance processes • Collaborate with cross functional teams to ensure AI models align with AI risk frameworks and requirements. • Assist in establishing and overseeing AI risk governance frameworks, including control frameworks, governance standards, policy development and committee governance. • Ensure adherence to industry’s best practices, such as NIST AI Risk Management Framework, ISO AI standards as well as emerging AI regulations. • Serve as the subject matter expert and lead production of materials for executive-level risk and governance committees. • Drive clear, well-reasoned risk decisions and ensure risks are documented and presented to executives in an effective manner • Communicate AI risk clearly to non-technical executives, translating technical and regulatory nuance into actional

Full responsibilities and requirements are on LPL Financial's application page.

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About LPL Financial
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Location and market context

This job is based in Fort Mill, SC on-site. Local candidates benefit from being close to LPL Financial's teams and regional hiring market. Confirm the exact in-office expectation and any relocation support with the employer.

About AI governance jobs

AI governance sits at the intersection of policy, risk, and engineering. Teams are standing up model inventories, use-case intake and review, risk classification, and control monitoring as regulation and board scrutiny of AI intensify. Jobs like this one are typically evaluated against frameworks such as NIST AI RMF, ISO/IEC 42001, the EU AI Act, and internal model-risk and privacy practices.

How to position yourself for this AI governance job

Strong candidates emphasize experience translating policy into operational controls, working across legal, compliance, security, product, and data teams, documenting AI system risks, and supporting governance processes. In your resume and outreach, tie your experience to how LPL Financial would apply NIST AI RMF, ISO/IEC 42001, the EU AI Act, and internal model-risk and privacy practices, and lead with concrete outcomes rather than duties.

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