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About the Role
LPL is building the data foundation that enables AI across the firm. We are seeking a product leader to transform business information into reusable data products, shared business definitions, semantic models, and knowledge retrieval capabilities that support accurate and useful AI applications. As Vice President, Product Management, Intelligent Data Layer, you will own the product strategy, roadmap, and lifecycle for this portfolio while leading a team of product managers and partnering with engineering, data science, AI application teams, and business stakeholders.
Responsibilities
- Define and manage the Intelligent Data Layer product strategy, roadmap, priorities, and investment decisions, balancing business value, reuse, delivery effort, operating cost, and technical dependencies.
- Lead the development and lifecycle management of reusable data products that make business facts, relationships, measures, and contextual information available to AI applications.
- Establish semantic-layer capabilities that translate agreed business definitions into reusable data models, relationships, metrics, and calculations for consistent use across applications.
- Lead knowledge and retrieval product capabilities, including enterprise search, knowledge graphs, retrieval-augmented generation (RAG), and GraphRAG, and evaluate their performance against defined business questions and use cases.
- Partner with AI application, engineering, data science, and business teams to deliver end-to-end use cases from source data through application consumption, using lessons from those implementations to expand reusable platform capabilities.
- Own the product lifecycle from discovery and requirements through launch and ongoing improvement, defining product requirements for accuracy, data freshness, access permissions, source traceability, reliability, and support.
- Establish product quality and AI evaluation measures for retrieval relevance, grounding, data accuracy, reliability, adoption, latency, and operating cost, and use results to prioritize product improvements.
- Hire, develop, and lead product managers, establish delivery commitments with engineering leaders, and manage cross-functional dependencies and priorities.
- Establish governance and ownership models with business and technology partners for shared definitions, semantic models, data products, and knowledge assets.
- Measure adoption, product quality, reliability, and operating cost, and partner with application owners to evaluate business outcomes and inform roadmap investments.
Requirements
- 10+ years of relevant product management experience, including experience with enterprise data products and production AI capabilities.
- Experience leading product teams and delivering products across engineering, data science, and business organizations.
- Experience taking data or retrieval products into production, supporting multiple consumers, and improving product performance following launch.
- Working knowledge of semantic modeling, knowledge graphs, retrieval-augmented generation (RAG), and AI evaluation methods.
- Experience making product investment, build-versus-buy, and technical tradeoff decisions.
Skills
- semantic modeling
- knowledge graphs
- retrieval-augmented generation (RAG)
- AI evaluation methods
Location
- Hybrid
Work Type
- Hybrid
Experience Level
- 10+ years of relevant product management experience
Salary/Compensations
- $135,960.00 - $226,600.00
Benefits
- 401K matching
- health benefits
- employee stock options
- paid time off
- volunteer time off
About the Company
- LPL Financial Holdings Inc. (Nasdaq: LPLA) is among the fastest growing wealth management firms in the U.S. As a leader in the financial advisor-mediated marketplace(6) , LPL supports over 32,000 financial advisors and the wealth management practices of approximately 1,100 financial institutions, servicing and custodying approximately $2.3 trillion in brokerage and advisory assets on behalf of approximately 8 million Americans. The firm provides a wide range of advisor affiliation models, investment solutions, fintech tools and practice management services, ensuring that advisors and institutions have the flexibility to choose the business model, services, and technology resources they need to run thriving businesses.
- At LPL, independence means that advisors and institution leaders have the freedom they deserve to choose the business model, services, and technology resources that allow them to run a thriving business. They have the flexibility to do business their way. And they have the freedom to manage their client relationships, because they know their clients best. Simply put, we take care of our advisors and institutions, so they can take care of their clients.
Equal Opportunity
- Principals only. EOE.