VP, Advisor AI Workspace
Listed on 2026-06-26
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IT/Tech
AI Engineer (Applied/Software), AI Evaluation
Job Overview
Vice President, Product Management for the Advisor AI Workspace leads the strategy, development, and enterprise adoption of LPL’s AI‑driven advisor operating system within the AI Business Solutions team. This role owns the full product lifecycle—from concept through pilot, rollout, and value realization—delivering a secure, compliant, and scalable workspace where digital agents assist advisors through conversational and workflow‑based experiences. Working in a four‑in‑a‑box model with Technology, Business, Operations, and Risk, the leader ensures the platform drives advisor productivity, safeguards client data, and evolves alongside advancements in AI capabilities.
Responsibilities- Define and execute the product vision and roadmap across advisor workflows including prospecting, planning, investment management, client servicing, and practice operations
- Lead development of the agent operating system, including standards for agent invocation, orchestration, interaction models, and extensibility
- Establish decision frameworks for when agents respond, perform actions, or escalate to human interaction across advisor workflows
- Oversee creation and governance of advisor‑generated experiences such as templates, workflows, and reusable artifacts within defined guardrails
- Drive grounding, evaluation, and quality standards for AI outputs, ensuring accuracy, compliance, and consistency across all interactions and artifacts
- Own build, buy, and rent decisions across models, orchestration layers, and platform capabilities, including documentation and iterative reassessment
- Lead pilot programs with defined success metrics and manage phased enterprise rollout and commercialization strategies
- Partner with Technology, Info Sec, Privacy, and Risk to ensure compliance with RAIC standards, FINRA record‑keeping requirements, and data protection protocols
- Define telemetry, evaluation frameworks, and success metrics to continuously improve product performance and user outcomes
- Drive advisor adoption through training, field engagement, and feedback loops while measuring usage, quality, and business impact
- Bachelor’s or master’s degree in business, computer science, information systems, or a related field
- 8+ years of experience in product management, including delivery of AI or automation products with measurable business impact
- Demonstrated experience shipping conversational or agentic AI products, including workflow execution or assistant‑style experiences
- Experience building platforms or tools that end users extend or configure, such as workflow builders or low‑code solutions
- Demonstrated experience taking products from pilot through enterprise‑scale adoption
- Product management from concept through enterprise adoption, accountable for outcomes
- Product sense for agentic, assistant‑style experiences, including where an agent acts, confirms, or hands off
- Platform and ecosystem thinking, with experience building extensible products
- Familiarity with conversational and generative AI, including RAG, prompt management, evaluation, and guardrails
- Familiarity with agentic AI architectures, including planner/evaluator patterns, gateways, judges, and audit trails
- Experience operating in matrixed environments, including four‑in‑a‑box or similar models
- Experience partnering with Info Sec, Privacy, or Compliance on AI or SaaS product reviews
- Strong financial acumen with experience building business cases and tracking ROI
- Financial services or wealth management experience with knowledge of advisor workflows
- Experience delivering AI solutions in FINRA or SEC‑regulated environments
$ – $ (actual base salary varies based on factors such as relevant skill, prior experience, education, and geographic location).
Benefits401(k) matching, health benefits, employee stock options, paid time off, volunteer time off, and more.
Equal Opportunity EmployerWe are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, or any other protected status.
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