> Markdown version of [/jobs/ext/1427079-avp-digital-enablement](https://www.wearedevelopers.com/jobs/ext/1427079-avp-digital-enablement). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AVP, Digital Enablement - **Company:** LPL Financial - **Location:** Fort Mill, SC, United States (Remote available) - **Experience:** Expert - **Salary:** $104,648.0 - $174,482.0 - **Contract:** Permanent contract - **Skills:** Microsoft Word, Microsoft Excel, Artificial Intelligence, Data Visualization, Query Languages, Monitoring of Systems, Machine Learning, Microsoft PowerPoint, SQL Databases, Model Validation, Data Analytics - **Published:** July 24, 2026 - **Apply:** https://lplfinancial.wd1.myworkdayjobs.com/External/job/Fort-MillCharlotte/AVP--Digital-Enablement_R-051789-1 ## About the Role * 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. Preferences * FINRA Series 7; willingness and eligibility to obtain required upon hire. * Additional FINRA licensing (Series 24, 66) ## Description * Serves as a senior analytical contributor and emerging leader within the Digital Enablement Supervision team, responsible for managing a complex and strategically significant portfolio of supervisory AI models across their full lifecycle - from deployment through ongoing governance, enhancement, and, where warranted, retirement. * Operates as a subject-matter authority on model performance, change management, and governance execution - bridging the gap between technical model capabilities and practical supervisory outcomes, and supporting the VP in translating the firm's AI strategy into well-governed, high-performing model operations. * Leads and mentors Model Managers, providing day-to-day guidance, quality assurance on analytical work product, and developmental coaching - serving as the connective layer between the analyst team and the VP. * Brings a proactive, ownership-oriented mindset to model quality and governance - independently identifying issues, designing solutions, and driving execution without requiring close direction from the VP on routine matters. Responsibilities Pipeline & Lifecycle * Provide structured, evidence-based pipeline recommendations to the VP - identifying emerging model development needs, sequencing considerations, and retirement candidates based on performance trends, regulatory shifts, and evolving supervisory task requirements. * Assess models against changing business needs and regulatory requirements, recommending retirement or replacement when continued deployment is no longer warranted or cost-effective. * Contribute to the curation and grooming of the AI model development pipeline, offering analytical perspective on prioritization, resource requirements, and anticipated supervisory impact. Governance, Audit Readiness & Reporting * Maintain examination-ready governance documentation for all assigned models - ensuring version histories, change logs, validation records, risk assessments, and performance scorecards are complete, current, and audit-navigable at all times. * Prepare and present model performance reports, scorecards, and pipeline status updates for VP review, clearly communicating trends, risks, and recommended actions in a polished, executive-ready format. * Participate in governance forums and cross-functional working groups, representing the model management function and contributing to broader AI governance and supervisory transformation discussions. What 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. ## Related Videos - [Pioneering AI Assistants in Banking](https://www.wearedevelopers.com/videos/1627-pioneering-ai-assistants-in-banking) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Developing the Rich Text Editor for DeepL.com](https://www.wearedevelopers.com/videos/1172-developing-the-rich-text-editor-for-deepl-com) - [Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases](https://www.wearedevelopers.com/videos/1146-fault-tolerance-and-consistency-at-scale-harnessing-the-power-of-distributed-sql-databases) - [OpenAI for FinTech: Building a Stock Market Advisor Chatbot](https://www.wearedevelopers.com/videos/805-openai-for-fintech-building-a-stock-market-advisor-chatbot) - [AI in Regulated Industry - Validating AI-Enabled Products with PLM and Digital Twins](https://www.wearedevelopers.com/videos/2065-ai-in-regulated-industry-validating-ai-enabled-products-with-plm-and-digital-twins) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [How to start an AI project for a good cause and boost your career](https://www.wearedevelopers.com/magazine/15-how-to-start-an-ai-project-for-a-good-cause-and-boost-your-career) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers)