VP Product Management, Intelligent Data Layer

LPL Financial; New York (NY); On-site; USD 136,000 - 227,000; Full time

Benefits offered by this job

401K matching

Health benefits

Employee stock options

Paid time off

Volunteer time off

Job summary

LPL Financial is seeking a Vice President, Product Management, Intelligent Data Layer to 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.

You will ground product development in defined business use cases by establishing an end-to-end path from source information through its use in an AI application.

Qualifications

• 10+ years of product management experience, including enterprise data products and production AI capabilities.
• Experience leading product teams across engineering, data science, and business organizations.
• Experience taking data/retrieval products into production for multiple consumers and improving performance after launch.

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, answer 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.

Skills

Enterprise data products

Leadership of product teams

AI-enabled data platforms

Tools

Semantic modeling

Knowledge graphs

RAG retrieval

Data governance

Job description

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.

Job Overview

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.

You will ground product development in defined business use cases by establishing an end-to-end path from source information through its use in an AI application. This “steel thread” approach will validate capabilities in production‑oriented use cases and inform the development of reusable data, semantic, and retrieval products that can support additional applications across the firm.

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, answer 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.

What Are We Looking For?

We’re looking for a product leader who will pursue greatness by establishing scalable data and knowledge capabilities that enable AI across the enterprise, act with integrity when making decisions involving data quality, access, governance, and investment, remain driven to help our clients succeed by connecting technology investments to meaningful business outcomes, win together by working across product, engineering, data science, AI, and business teams, and create and share joy by developing teams and building products that make it easier for others to deliver valuable solutions.

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.

Preferences

• Ability to resolve competing business requirements and communicate product decisions to technical teams and senior leaders.
• Financial services or other regulated‑industry experience.

Pay Range

$135,960.00 - $226,600.00

Actual base salary varies based on factors, including but not limited to, relevant skill, prior experience, education, base salary of internal peers, demonstrated performance, and geographic location. Additionally, LPL Total Rewards package is highly competitive, designed to support your success at work, at home, and at play – such as 401K matching, health benefits, employee stock options, paid time off, volunteer time off, and more.

Company Overview

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. For further information about LPL, please visit www.lpl.com.

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.

For further information about LPL, please visit www.lpl.com.

Principals only. EOE.

Information on Interviews

LPL will only communicate with a job applicant directly from an @lplfinancial.com email address and will never conduct an interview online or in a chatroom forum. During an interview, LPL will not request any form of payment from the applicant, or information regarding an applicant’s bank or credit card.