below marketmost similar roles pay hereabove market
This role pays less than
79%
of similar roles. Most pay
$151,200–$227,275
— the blue band above.
At the midpoint, this role pays about
$146k
versus about
$189k
for comparable roles.
Based on 240 similar postings.
Employer
About LPL Financial
LPL Financial is the largest independent broker-dealer in the United States, providing brokerage and investment advisory services to independent financial advisors and financial institutions. Industry: Financial Services & Wealth Management
LPL Financial currently has
101 open roles
on FindRole.
Listed pay typically runs
$122,673–$204,455
across 55 roles with salary data.
AVP, Data Product Owner
The AVP, Data Product Owner leads product ownership for consumption-facing data capabilities, operating at the intersection of Product Management, Data Product Ownership, Consumer Enablement, and Data Analysis. This role involves defining product strategy, maintaining multi-quarter roadmaps, and managing backlogs to ensure enterprise data delivers measurable business outcomes. The individual will build scalable, trusted, and reusable data products by partnering with engineering, architecture, and governance teams. Key responsibilities include translating business needs into user stories, performing data analysis to understand lineage and dependencies, and conducting impact assessments for schema changes. Required skills include SQL, analytical problem-solving, and experience with APIs, feeds, and reporting platforms. The role solves the technical challenge of improving data discoverability, trust, and reuse across distributed data environments and downstream consumer applications.
Define and maintain the product vision, strategy, and multi-quarter roadmaps for consumption-facing data capabilities.
Translate business outcomes and consumer needs into prioritized product initiatives and clear user stories.
Establish and monitor KPIs and OKRs to evaluate data product adoption, reliability, and business impact.
Manage the product backlog by balancing strategic initiatives, consumer demand, and delivery capacity.
Perform data analysis using SQL to understand usage patterns, lineage, and source-to-target relationships.
Conduct impact assessments for schema changes, new integrations, and upstream system modifications.
Partner with engineering and architecture teams to deliver scalable, reusable, and trusted data products.
Prepare and deliver roadmap updates and prioritization recommendations for leadership and stakeholders.
What we're looking for
5+ years of experience in Product Management, Product Ownership, Data Product Ownership, Product Analytics, Data Analysis, or platform-oriented product roles.
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.
Ability to translate complex data ecosystems and consumer needs into clear product requirements (preferred).
Understanding of data quality, data lineage, metadata, semantic consistency, data contracts, data governance, and downstream impact analysis (preferred).
Strong communication skills with the ability to influence stakeholders and explain technical concepts in business-friendly language (preferred).
Data Governance
Data Management
Agile
Jira
Data Quality
Data Lineage
Metadata Management
Data Catalog
Data Product Ownership
Source-to-Target Mapping
Data Analytics
Information Systems
Data Governance Platforms