Job description

Where Ambition Meets Innovation Build a career that matches all your initiative with an impressive dose of innovation. From cutting-edge resources and a collaborative environment to the freedom to make an impact and more, you’ll find the ingredients you need at LPL Financial to shape your success while helping clients pursue their financial goals. Job Overview: LPL Financial is seeking a Data Product Owner to lead product ownership for consumption-facing data capabilities. This role focuses on how enterprise data is discovered, understood, accessed, and used by downstream consumers across applications, analytics platforms, advisor experiences, operations, partners, and enterprise reporting. Operating at the intersection of Product Management, Data Product Ownership, Consumer Enablement, and Data Analysis, this position is responsible for defining product strategy, maintaining roadmaps, aligning stakeholders, and ensuring enterprise data capabilities deliver measurable business outcomes. The role partners across business, data, engineering, architecture, governance, and platform teams to create scalable, trusted, and reusable data products that improve data consumption across the enterprise. Responsibilities: Define and maintain product vision, strategy, and multi-quarter roadmaps for consumption-facing data capabilities. Translate business outcomes, consumer needs, and enterprise data strategy into prioritized product initiatives. Establish product success measures, KPIs, and OKRs to evaluate adoption, reliability, usability, and business impact. Engage downstream consumers to gather requirements, identify pain points, and define data product use cases. Develop user stories, acceptance criteria, release objectives, and consumption requirements that are clear and testable. Define and support data access patterns through APIs, feeds, reporting platforms, extracts, and shared services. Prioritize and manage product backlogs, balancing strategic initiatives, consumer demand, operational needs, and delivery capacity. Partner with engineering, architecture, governance, and domain teams to deliver scalable and reusable data capabilities. Perform data analysis to understand usage patterns, source-to-target relationships, lineage, dependencies, and impacts. Conduct impact assessments for schema changes, new integrations, platform migrations, and upstream system modifications. Utilize SQL and analytical techniques to validate requirements, support decision-making, and identify solution options. Participate in Agile ceremonies including backlog refinement, sprint planning, demonstrations, testing, release readiness, and retrospectives. Manage risks, dependencies, and tradeoff decisions across stakeholders and delivery teams. Prepare and deliver roadmap updates, prioritization recommendations, and product communications for leadership and stakeholder audiences. Promote standardized data products, documentation, and consumption practices that improve discoverability, trust, and reuse. What Are We Looking For? We are seeking a professional who is motivated to pursue greatness, consistently act with integrity, is driven to help our clients succeed, can win together through effective partnership and collaboration, and strives to create and share joy while delivering meaningful business outcomes. The ideal candidate combines product management discipline, analytical problem-solving, data fluency, and stakeholder engagement to advance enterprise data consumption capabilities. Requirements: 5 years of experience in Product Management, Product Ownership, Data Product Ownership, Product Analytics, Data Analysis, or platform-oriented product roles. Demonstrated experience defining product strategy, product vision, roadmaps, priorities, and success measures. Strong hands-on experience with SQL, data analysis, source-to-target analysis, or analytical problem solving across distributed data environments. Experience working with data platforms, data distribution capabilities, APIs, feeds, integration layers, reporting platforms, or shared enterprise data services. Experience operating in Agile/Scrum environments with cross-functional product, engineering, QA, architecture, and stakeholder teams. Preferences: Ability to translate complex data ecosystems and consumer needs into clear product requirements. Understanding of data quality, data lineage, metadata, semantic consistency, data contracts, data governance, and downstream impact analysis. Strong communication skills with the ability to influence stakeholders and explain technical concepts in business-friendly language. Experience using AI-enabled capabilities to improve the speed, depth, and effectiveness of data analysis, requirements development, or product discovery. Experience creating product narratives, roadmap readouts, value statements, adoption metrics, and executive-level decision support materials. Pay Range: $109,283.00 - $182,104.00 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

Requirements

Must-haves

Where Ambition Meets Innovation
Responsibilities: Define and maintain product vision, strategy, and multi-quarter roadmaps for consumption-facing data capabilities.
Translate business outcomes, consumer needs, and enterprise data strategy into prioritized product initiatives.
Establish product success measures, KPIs, and OKRs to evaluate adoption, reliability, usability, and business impact.
Engage downstream consumers to gather requirements, identify pain points, and define data product use cases.
Develop user stories, acceptance criteria, release objectives, and consumption requirements that are clear and testable.
Define and support data access patterns through APIs, feeds, reporting platforms, extracts, and shared services.
Prioritize and manage product backlogs, balancing strategic initiatives, consumer demand, operational needs, and delivery capacity.
Partner with engineering, architecture, governance, and domain teams to deliver scalable and reusable data capabilities.
Perform data analysis to understand usage patterns, source-to-target relationships, lineage, dependencies, and impacts.
Conduct impact assessments for schema changes, new integrations, platform migrations, and upstream system modifications.
Utilize SQL and analytical techniques to validate requirements, support decision-making, and identify solution options.
Participate in Agile ceremonies including backlog refinement, sprint planning, demonstrations, testing, release readiness, and retrospectives.
Manage risks, dependencies, and tradeoff decisions across stakeholders and delivery teams.
Prepare and deliver roadmap updates, prioritization recommendations, and product communications for leadership and stakeholder audiences.
Promote standardized data products, documentation, and consumption practices that improve discoverability, trust, and reuse.
What Are We Looking For?
Requirements: 5 years of experience in Product Management, Product Ownership, Data Product Ownership, Product Analytics, Data Analysis, or platform-oriented product roles.
Demonstrated experience defining product strategy, product vision, roadmaps, priorities, and success measures.
Strong hands-on experience with SQL, data analysis, source-to-target analysis, or analytical problem solving across distributed data environments.
Experience working with data platforms, data distribution capabilities, APIs, feeds, integration layers, reporting platforms, or shared enterprise data services.
Experience operating in Agile/Scrum environments with cross-functional product, engineering, QA, architecture, and stakeholder teams.
Preferences: Ability to translate complex data ecosystems and consumer needs into clear product requirements.
Understanding of data quality, data lineage, metadata, semantic consistency, data contracts, data governance, and downstream impact analysis.

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Keywords to mirror

sqlagilescrumai

Platform: workday
Effort: long

Benefits

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Vision

401k

Paid Time Off