VP, Advisor AI Workspace

Lead with Purpose, Unlock Your Team’s Passion
At LPL, people leaders hold the key to the employee experience — shaping culture, driving performance, and guiding individuals to new heights. Because when that happens, we all win – clients, LPL, and most importantly, our employees.

If you're ready to lead with intention and discover what’s possible, LPL Financial invites you to apply today.

Job Overview:

The 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, this 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, InfoSec, Privacy, and Risk to ensure compliance with RAIC standards, FINRA recordkeeping 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

What are we looking for?

We are seeking a leader who is motivated to pursue greatness, consistently act with integrity, and is deeply driven to help our clients succeed. This individual thrives in collaborative environments where teams win together, and actively contributes to a culture that encourages innovation and celebrates success to create and share joy.

Requirements:

• 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

Core Competencies:

• 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

Preferences:

• Experience operating in matrixed environments, including four-in-a-box or similar models

• Experience partnering with InfoSec, 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

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