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LPL Financial Holdings

Independent broker-dealer platform for financial advisors

Assistant Vice President – AI Risk and Governance

Regulatory Compliance & EthicsConfirmed live in the last 24 hours
Full-timeIn-person

About the Job

Requirements

  • A bachelor's degree in Risk Management, Business, Information Technology, Data, Law, Compliance, Public Policy, or a related discipline is required.
  • At least 5 years of progressive experience in governance, risk management, compliance, technology governance, data governance, program management, operational risk, or a related discipline within financial services or another highly regulated industry is required.
  • Recent experience within an enterprise AI Governance program is required.
  • Experience operating enterprise governance processes, including intake workflows, risk assessments, policy administration, committee management, approvals, issue tracking, and reporting, is required.
  • Strong process management and program execution capabilities are required, including the ability to establish clear workflows, accountability, documentation standards, and escalation routines.
  • Experience coordinating complex risk assessments and governance decisions across business, technology, legal, compliance, privacy, security, data, and risk stakeholders is required.
  • The ability to translate evolving regulatory requirements and governance expectations into practical policies, procedures, controls, and operating processes is required.
  • Experience developing executive-level materials, governance committee reporting, metrics, dashboards, decision records, and program documentation is required.
  • Strong knowledge of governance, risk, and control principles, including issue management, policy management, exceptions, risk acceptance, and lifecycle oversight, is required.
  • Strong written and verbal communication, sound judgment, attention to detail, and the ability to influence effectively across a complex organization are required.
  • Experience leading teams or cross-functional workstreams and managing multiple priorities in a fast-moving environment is required.

Responsibilities

  • Lead day-to-day execution of the enterprise AI Governance Program and support its strategy, operating model, priorities, and capability roadmap.
  • Own and administer the end-to-end AI use case intake, triage, review, approval, change, monitoring, and retirement workflow.
  • Ensure AI use cases are documented, classified, assessed, approved, inventoried, and governed in accordance with policy and established risk-based requirements.
  • Coordinate AI risk assessments across relevant subject matter experts and control functions, ensuring required reviews are completed and decisions, conditions, and residual risks are clearly documented.
  • Manage the enterprise AI use case inventory, including data quality, ownership, status, risk classification, approvals, exceptions, dependencies, and lifecycle information.
  • Lead the administration of AI governance committees and working groups, including agendas, materials, meeting facilitation, minutes, decision records, approvals, action items, and escalation tracking.
  • Manage AI governance policies, standards, procedures, and supporting guidance, including periodic reviews, stakeholder approvals, publication, communications, and implementation tracking.
  • Oversee policy exception and governance waiver processes, ensuring requests are supported by appropriate rationale, risk acceptance, compensating controls, approvals, and expiration requirements.
  • Design, maintain, and continuously improve governance workflows, roles, decision rights, service-level expectations, documentation standards, and escalation protocols.
  • Monitor intake volumes, cycle times, assessment status, approvals, policy compliance, exceptions, remediation commitments, and other program indicators to identify trends and process improvements.
  • Develop dashboards, metrics, committee reporting, and executive-level insights regarding the AI inventory, governance activity, material risks, exceptions, issues, and program maturity.
  • Track identified risks, conditions of approval, issues, and remediation commitments through closure, and escalate overdue or material matters through appropriate governance channels.
  • Partner with Technology, Information Security, Data Governance, Privacy, Compliance, Legal, Enterprise Risk Management, Internal Audit, and business teams to promote coordinated and efficient governance coverage.
  • Support regulatory examinations, Internal Audit reviews, independent assessments, and other inquiries related to AI governance processes, records, and controls.
  • Monitor regulatory developments, industry frameworks, and emerging practices related to AI governance, and coordinate updates to policies, processes, assessment requirements, and committee oversight.
  • Develop training, communications, procedures, and job aids that clarify AI governance requirements and support consistent adoption across the firm.
  • Promote a culture of responsible innovation, accountability, transparency, collaboration, and continuous improvement.

Desired Qualifications

  • Experience supporting artificial intelligence, machine learning, generative AI, model governance, data governance, emerging technology, or responsible AI programs.
  • Experience supporting broker-dealer, wealth management, advisory, banking, capital markets, or another highly regulated financial services business.
  • Familiarity with AI governance frameworks and standards, including the NIST AI Risk Management Framework or comparable industry approaches.
  • Experience with Governance, Risk and Compliance platforms, workflow tools, inventory systems, reporting solutions, or comparable governance technology.
  • A professional certification in risk, compliance, audit, privacy, technology, data, project management, or a related discipline.
  • Experience contributing to governance transformation, process redesign, workflow automation, regulatory remediation, or program maturity initiatives.

About the Company

LPL Financial Holdings

Independent broker-dealer platform for financial advisors

LPL Financial runs the largest independent broker-dealer network in the United States, providing a platform of services and support to financial advisors and institutions. It helps advisors manage client wealth by offering technology, research, clearing and compliance services, and practice management programs. Advisors access a flexible, non-proprietary environment where they can tailor financial recommendations for clients, with revenue coming from fees for services, securities commissions, and asset-based fees. The company supports more than 28,000 financial advisors and oversees over a trillion dollars in advisory and brokerage assets, distinguishing itself through its breadth of back-office capabilities, scalable platform, and emphasis on independence for its advisors. Its goal is to enable independent financial advisors to grow their businesses and deliver personalized investment solutions to their clients.

Company size
10,001+
Company stage
IPO
Headquarters
San Diego, CA
Founded
1989

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