VP Product Management, Intelligent Data Layer

Fort Mill/Charlotte

Actively hiring, first seen by us today

Pay: $135,960–226,600/yearAnnual period assumed. Location-specific pay — pay source
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. Your recruiter will be happy to discuss all that LPL has to offer!
Read the full posting
Work setting: Not stated
Employment: Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

What you’ll work on

Full posting

Lead the development and lifecycle management of reusable data products that make business facts, relationships, measures, and contextual information available to AI applications.
Hire, develop, and lead product managers, establish delivery commitments with engineering leaders, and manage cross-functional dependencies and priorities.

From the employer’s posting

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.

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.

What you’ll bring

All qualifications

Core experience

10+ years of relevant product management experience, including experience with enterprise data products and production AI capabilities.
Ability to resolve competing business requirements and communicate product decisions to technical teams and senior leaders.
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.
Experience making product investment, build-versus-buy, and technical tradeoff decisions.

Qualification wording

10+ years of relevant product management experience, including experience with enterprise data products and production AI capabilities.

Ability to resolve competing business requirements and communicate product decisions to technical teams and senior leaders.

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.

Experience making product investment, build-versus-buy, and technical tradeoff decisions.

Apply at LPL Financial

Posting record

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Actively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.

Status in our records: Live
First seen by us: Nov 5, 2026today
Recorded sightings: 1

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 0

Early. Similar jobs usually come down between day 7 and day 53.

At LPL Financial, jobs usually come down by about day 26.

From 7,916 similar postings that came down, and 27 of LPL Financial’s. Coming down is not always a hire.

LPL Financial is hiring

5 open jobs

Open jobs by the week we first saw them, last 12 weeks.

Takes jobs down quickly

Hiring record

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About the role

We file this job under Data Leadership, by the work the posting describes.

Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.

Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.

Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.

US government figures for computer and information systems managers

Median yearly pay, May 2025: $175,140
Expected change, 2025 to 2035: 15.8% more jobsagainst 3.5% for all jobs

The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.

Job description

View original posting ↗

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:

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.

#LI-Hybrid

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. Your recruiter will be happy to discuss all that LPL has to offer!

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.

Join the LPL team and help us make a difference by turning life’s aspirations into financial realities. Please log in or create an account to apply to this position. 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. Should you have any questions regarding the application process, please contact LPL’s Human Resources Solutions Center at (855) 575-6947.

EAC 5.19.26

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