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
What are we looking for?
Requirements
10+ years of progressive experience in AI governance, Responsible AI, AI Ethics, or related fields, with at least 5 years in Financial Services
Experience with AI/ML technologies, including supervised and unsupervised learning, deep learning, natural language processing, and generative AI
Demonstrated expertise in developing and implementing AI governance frameworks in regulated financial services environments
Experience with AI risk management, including bias detection and mitigation, model validation, and adversarial robustness testing
Experience managing regulatory examinations, audits, or third-party assessments related to AI/ML system
Core Competencies:
AI Ethics & Responsible AI: Deep u
Additional Information
Where Ambition Meets Innovation
Build a career that matches all your initiative with an impressive dose of innovation. From cutting-edge resources and a collaborative environment to the freedom to make an impact and more, you'll find the ingredients you need at LPL Financial to shape your success while helping clients pursue their financial goals.
Job Overview:
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.
Lplfinancial · Fort Mill