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AVP, Digital Enablement
LPL FinancialSenior analytical contributor and emerging leader managing supervisory AI models portfolio. Leading model quality governance and supporting the firm's AI strategy at LPL Financial.
Posted 7/24/2026full-timeFort Mill • North Carolina • 🇺🇸 United StatesLead💰 $104,648 - $174,482 per yearWebsite
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in managing AI model lifecycles within financial services, with a strong focus on compliance, model risk management, and regulatory operations. Capable of leading teams, translating complex technical concepts for diverse audiences, and driving effective governance and performance in model operations.
Highest-signal resume keywords
AI Model Lifecycle ManagementModel Risk ManagementFINRA Regulatory KnowledgeData Visualization ToolsAnalytical Skills
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Model Performance AnalysisChange ManagementSQLData AnalyticsRegulatory Compliance
Soft Skills
LeadershipCommunication SkillsOrganizational SkillsCritical ThinkingMentoring
Tools & Technologies
Microsoft WordMicrosoft ExcelMicrosoft PowerPointModel Monitoring Platforms
Industry Keywords
Financial ServicesSupervisionComplianceRegulatory OperationsEmerging Technologies
Tech Stack
Tools & technologiesSQL
About the role
Key responsibilities & impact- Serve as a senior analytical contributor and emerging leader within the Digital Enablement Supervision team
- Manage a complex and strategically significant portfolio of supervisory AI models across their full lifecycle
- Operate as a subject-matter authority on model performance, change management, and governance execution
- Support the VP in translating the firm’s AI strategy into well-governed, high-performing model operations
- Lead and mentor Model Managers, providing day-to-day guidance, quality assurance, and developmental coaching
- Independently identify issues, design solutions, and drive execution without requiring close direction from the VP
Requirements
What you’ll need- 5+ years of experience in financial services with meaningful exposure to supervision, compliance, model risk management, or regulatory operations.
- Bachelor’s degree in Business, Finance, Data Analytics, or a related field required.
- Experience supporting or managing analytical or AI model lifecycles within a financial services or similarly regulated environment – including monitoring validation and change management activities.
- Working knowledge of FINRA, SEC, and NASAA regulatory frameworks as they relate to supervisory obligations and first-line control environments.
- Experience collaborating across compliance, technology, and operations functions, with the ability to translate technical model concepts for non-technical supervisory audiences.
- Proficiency in Microsoft Word, Excel, PowerPoint, experience with data visualization tools, query languages (SQL), or model monitoring platforms strongly preferred.
- Analytical and critical-thinking skills, with the ability to identify patterns in model performance data, diagnose root causes, and develop well-reasoned, actionable recommendations.
- Written and verbal communication skills, with experience preparing concise, professional reports and presenting findings to management-level stakeholders.
- Organized and detail-oriented, with the ability to manage multiple concurrent model workstreams with accuracy and professionalism.
- A genuine intellectual curiosity about AI, machine learning, and the application of emerging technologies to regulatory and supervisory challenges.
Benefits
Comp & perks- 401K matching
- health benefits
- employee stock options
- paid time off
- volunteer time off