VP, AI Governance & Responsible AI

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.Responsibilities:Design, implement, and continuously improve enterprise-wide AI governance frameworks that align with regulatory requirements, industry best practices, and organizational valuesEstablish and chair AI governance committees, including AI Ethics Boards and Model Risk Management forums, to oversee AI development, deployment, and monitoringDevelop responsible AI principles, policies, and standards addressing fairness, transparency, explainability, accountability, privacy, and safetyCreate and maintain AI governance documentation including charters, playbooks, standard operating procedures, and decision frameworksEnsure AI systems comply with financial services regulations including FCRA, ECOA, fair lending laws, model risk management guidance (SR 11-7), and emerging AI-specific regulationsDevelop and implement AI risk assessment frameworks to identify, measure, monitor, and mitigate risks including algorithmic bias, model drift, data quality issues, and adversarial threatsCollaborate with Legal, Compliance, and Risk Management teams to interpret regulatory guidance and translate requirements into actionable technical controlsLead regulatory examinations and audits related to AI systems, preparing documentation and responding to examiner inquiriesEstablish model validation standards and processes for AI/ML models across the organization, including testing for bias, fairness, and robustnessImplement AI model inventory and lifecycle management systems to track models from development through deployment and retirementDefine and implement explainability and interpretability requirements for AI systems, ensuring stakeholders can understand model decisionsPartner with technology teams to embed governance controls in AI development platforms, MLOps pipelines, and production environmentsBuild partnerships across business units, technology, risk management, compliance, legal, and human resources to embed responsible AI practicesDevelop and deliver training programs on responsible AI, AI ethics, and governance requirements for technical and non-technical audiencesEstablish metrics and KPIs to measure the effectiveness of AI governance programs and responsible AI practicesDevelop ongoing monitoring capabilities for deployed AI systems to detect performance degradation, bias drift, and compliance issuesStay current with emerging AI technologies, governance frameworks, regulatory developments, and industry best practices, adapting organizational approaches accordinglyWhat are we looking for?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.Requirements:10+ years of progressive experience in AI governance, Responsible AI, AI Ethics, or related fields, with at least 5 years in Financial ServicesExperience with AI/ML technologies, including supervised and unsupervised learning, deep learning, natural language processing, and generative AIDemonstrated expertise in developing and implementing AI governance frameworks in regulated financial services environmentsExperience with AI risk management, including bias detection and mitigation, model validation, and adversarial robustness testingExperience managing regulatory examinations, audits, or third-party assessments related to AI/ML systemsCore Competencies:AI Ethics & Responsible AI: Deep understanding of ethical frameworks for AI development and deployment, including fairness, accountability, transparency, and explainability principlesGovernance & Risk Management: Expertise in designing and implementing governance structures, control frameworks, and risk management processes for AI systemsComprehensive knowledge of financial services regulations affecting AI systems, including model risk management, fair lending, consumer protection, and data privacy lawsTechnical Proficiency: Strong foundation in machine learning algorithms, model development lifecycle, MLOps practices, and AI infrastructureFamiliarity with emerging AI technologies including large language models, generative AI, and foundation models, and their governance implicationsRegulatory Acumen: In-depth knowledge of financial services regulatory environment and ability to anticipate and respond to regulatory changesStrategic Thinking: Ability to balance innovation with risk management, enabling responsible AI adoption while protecting the organizationLeadership & Influence: Track record of driving organizational change, building consensus among diverse stakeholders, and leading high-performing teamsBusiness Acumen: Understanding of financial services business models, products, and customer lifecycle to contextualize AI governance decisionsAnalytical & Problem-Solving Skills: Ability to analyze complex technical and organizational challenges and develop pragmatic solutionsStrong technical background with ability to evaluate AI architectures, algorithms, and implementation approachesExcellent communication skills with ability to translate complex technical concepts for diverse audiencesExperience leading cross-functional initiatives and influencing stakeholders at all organizational levels, including executive leadership and board membersPreferences:Advanced degree (Master's or PhD) in Computer Science, Data Science, Statistics, Engineering, Ethics, Law, or related fieldProfessional certifications such as Certified Information Systems Security Professional (CISSP), Certified Information Privacy Professional (CIPP), or Certified AI PractitionerExperience working with AI governance frameworks such as NIST AI Risk Management Framework, EU AI Act requirements, or ISO/IEC standardsHands-on experience with AI/ML development tools and platforms (e.g., Python, TensorFlow, PyTorch, cloud ML services)Experience implementing AI governance technology solutions such as model risk management platforms, bias detection tools, or ML observability systemsBackground in multiple domains such as credit risk, fraud detection, algorithmic trading, or customer analytics within financial servicesExperience with large-scale organizational transformation initiatives related to AI, data, or technology governancePay Range:$135,960.00 - $226,600.00Actual 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!Principals only. EOE.J-18808-Ljbffr