VP, AI Governance & AI

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What if you could have access to cutting‑edge resources, a collaborative environment, and the freedom to make an impact? If you're ready to take the next step, discover what’s possible with LPL Financial.

We are seeking an experienced Vice President of AI Governance & Responsible AI to lead the development and implementation of comprehensive AI governance frameworks within our company. Reporting to the Senior Vice President of Data Governance & Responsible AI, this strategic leadership role requires 10+ years of expertise in AI governance, ethics, and risk management, with a deep understanding of the financial services’ regulatory requirements.

The ideal candidate will establish responsible AI principles, drive ethical AI adoption, enable technical innovation and ensure compliance with evolving regulatory standards while enabling business value from AI technologies.

This role will work at the intersection of technology, risk management, regulatory compliance, and business strategy, partnering with executive leadership, data science teams, legal, compliance, and business units to embed responsible AI practices throughout the organization.

• Design, implement, and continuously improve enterprise‑wide AI governance frameworks that align with regulatory requirements, industry best practices, and organizational values
• Establish and chair AI governance committees, including AI Ethics Boards and Model Risk Management forums, to oversee AI development, deployment, and monitoring
• Develop responsible AI principles, policies, and standards addressing fairness, transparency, explainability, accountability, privacy, and safety
• Create and maintain AI governance documentation including charters, playbooks, standard operating procedures, and decision frameworks
• Ensure AI systems comply with financial services regulations including FCRA, ECOA, fair lending laws, model risk management guidance (SR 11‑7), and emerging AI‑specific regulations
• Develop and implement AI risk assessment frameworks to identify, measure, monitor, and mitigate risks including algorithmic bias, model drift, data quality issues, and adversarial threats
• Collaborate with Legal, Compliance, and Risk Management teams to interpret regulatory guidance and translate requirements into actionable technical controls
• Lead regulatory examinations and audits related to AI systems, preparing documentation and responding to examiner inquiries
• Establish model validation standards and processes for AI/ML models across the organization, including testing for bias, fairness, and robustness
• Implement AI model inventory and lifecycle management systems to track models from development through deployment and retirement
• Define and implement explainability and interpretability requirements for AI systems, ensuring stakeholders can understand model decisions
• Partner with technology teams to embed governance controls in AI development platforms, MLOps pipelines, and production environments
• Build partnerships across business units, technology, risk management, compliance, legal, and human resources to embed responsible AI practices
• Develop and deliver training programs on responsible AI, AI ethics, and governance requirements for technical and non‑technical audiences
• Establish metrics and KPIs to measure the effectiveness of AI governance programs and responsible AI practices
• Develop ongoing monitoring capabilities for deployed AI systems to detect performance degradation, bias drift, and compliance issues
• Stay current with emerging AI technologies, governance frameworks, regulatory developments, and industry best practices, adapting organizational approaches accordingly

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…