SVP, Technology Risk – AI Governance

LPL Financial

. Own and mature the enterprise AI governance strategy, framework, operating model, policies, standards, and decision rights .

Posted 10/2/2026full-timeUnited StatesLead💰 $172,525 - $287,473 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in AI governance, risk management, and compliance, with a focus on establishing frameworks and controls for responsible AI innovation. Capable of advising senior leadership and integrating AI risks into enterprise risk management processes.

Highest-signal resume keywords

AI Governance StrategyTechnology Risk ManagementGenerative AI OversightRegulatory ComplianceRisk Assessment and Control

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI Lifecycle RisksControl Design and TestingCybersecurity Risk ManagementData GovernanceOperational ResilienceModel Risk ManagementThird-Party Risk ManagementRisk-Informed Decision MakingAI AssuranceAutomated Controls Monitoring

Soft Skills

Executive PresenceJudgmentInfluenceCommunication SkillsConstructive Challenge

Tools & Technologies

NIST AI Risk Management FrameworkGovernance TechnologiesDashboardsKey Risk Indicators

Certifications & Qualifications

CRISCCISACISSPCGEITCISM

Industry Keywords

Financial ServicesWealth ManagementBankingInsuranceHighly Regulated Industry

Tech Stack

Tools & technologies

CloudCyber Security

About the role

Key responsibilities & impact

Own and mature the enterprise AI governance strategy, framework, operating model, policies, standards, and decision rights
Establish risk-based guardrails and approval paths for AI development, acquisition, deployment, monitoring, material change, and retirement
Oversee AI risk assessments covering model performance, data quality, privacy, cybersecurity, intellectual property, bias, fairness, transparency, explainability, human oversight, and regulatory compliance
Lead governance for generative AI, machine learning, large language models, agentic AI, and other emerging AI capabilities
Maintain AI inventories, use-case classifications, lifecycle controls, exception processes, and evidence of accountable ownership
Define enterprise metrics, key risk indicators, dashboards, and escalation protocols for AI risk exposure and control effectiveness
Monitor AI regulation, supervisory guidance, industry standards, and market practices and translate them into enterprise action
Advise business and technology leaders on responsible innovation
Design and maintain an integrated AI risk and control framework aligned with enterprise risk management and related risk programs
Establish testing, validation, monitoring, issue management, remediation, and continuous controls monitoring for AI solutions
Oversee third-party AI provider, embedded AI, data source, and foundation model risk management
Lead and strengthen the enterprise Technology Risk Management framework, policies, standards, risk appetite, reporting, and escalation processes
Provide independent oversight and challenge across technology strategy, cloud adoption, cybersecurity, data governance, digital transformation, third-party technology, and operational resilience
Integrate technology and AI risks into enterprise risk assessments, RCSA, compliance, audit, issue management, and control assurance programs
Present risk insights, trends, decisions, and recommendations to senior leadership, governance committees, regulators, auditors, and Board-level stakeholders
Serve as senior management liaison for examinations, audits, and regulatory reviews
Partner with Legal, Compliance, Privacy, Information Security, Internal Audit, Model Risk, and Data Governance
Build and lead a high-performing team of AI governance, technology risk, controls, and emerging-risk professionals
Develop enterprise capability in responsible AI, emerging technology risk, advanced monitoring, and risk-informed decision making
Foster accountability, transparency, constructive challenge, and responsible innovation

Requirements

What you’ll need

10 or more years of progressive leadership experience across technology risk, cybersecurity risk, operational risk, model risk, internal audit, governance, risk and compliance, or related disciplines, including significant enterprise-level responsibility
Demonstrated experience designing, implementing, or materially advancing enterprise AI governance and responsible AI programs
Hands-on knowledge of AI lifecycle risks and controls, including generative AI, machine learning, large language models, data, privacy, cybersecurity, third-party risk, transparency, explainability, human oversight, and regulatory compliance
Deep expertise in technology risk management, control design and testing, cloud risk, cyber risk, data governance, third-party risk, operational resilience, issue management, and regulatory engagement
Proven ability to convert complex or evolving risk requirements into clear, practical guardrails that enable responsible innovation
Experience advising executive committees, governance forums, regulators, auditors, and Board-level stakeholders
Strong executive presence, judgment, influence, and communication skills, with the ability to create clarity across technical, risk, legal, and business audiences
Bachelor’s degree in information technology, computer science, cybersecurity, risk management, business, data science, or a related field
Preferred: financial services, wealth management, banking, insurance, or another highly regulated industry
Preferred: experience aligning AI governance to frameworks such as the NIST AI Risk Management Framework and integrating AI risk into enterprise risk management
Preferred: experience with AI assurance, model validation, automated controls monitoring, or governance technologies
Preferred: advanced degree or relevant professional certifications such as CRISC, CISA, CISSP, CGEIT, CISM, or equivalent

Benefits

Comp & perks

401K matching
Health benefits
Employee stock options
Paid time off
Volunteer time off
Competitive LPL Total Rewards package