AVP, Data Product Owner

LPL Financial•Charlotte, TX

1d•$106,088 - $176,813•Hybrid

About The Position

What if you could build a career where ambition meets innovation? At LPL Financial, we empower professionals to shape their success while helping clients pursue their financial goals with confidence. What if you could have access to cutting-edge resources, a collaborative environment, and the freedom to make an impact? If you're ready to take the next step, discover what’s possible with LPL Financial. Job Overview: We are hiring two Data Product Owners to support two critical data domains: TBAR (Transaction Books and Records): Drive accounting data integrity, reconciliation accuracy, and compliance. Lead roadmap, backlog, and delivery for transactional data platforms, ensuring operational excellence and regulatory alignment. PSP (Product, Pricing, and Securities Platform): Lead product strategy and enhancements for pricing and securities data, focusing on pricing accuracy, vendor feeds, valuation methodologies, and data quality. You will work closely with cross-functional teams to deliver high-impact solutions that improve the client experience and meet business objectives. While TBAR and PSP responsibilities are distinct, the Product Owner will drive alignment in product strategy, Agile delivery, and data governance across both domains. Responsibilities: Own and manage product backlogs for TBAR and PSP, ensuring alignment with business goals and client needs. Collaborate with engineering, design, compliance, operations, and other stakeholders to deliver high-quality product enhancements. Translate business requirements into clear user stories and acceptance criteria for both TBAR and PSP. Prioritize features and enhancements based on client impact, regulatory requirements, and technical feasibility. Define and track KPIs to measure product performance, client satisfaction, and operational efficiency. Ensure consistency of data definitions, classifications, and taxonomies across accounting and pricing systems. Maintain and enrich data dictionaries, lineage views, and business glossaries. Develop and document standardized workflows for data issue remediation and vendor management. Stay informed on industry trends, regulatory changes, and best practices in financial data management. Balance competing priorities and thrive in solving/addressing needs of multiple cross-functional stakeholders. What are we looking for? We’re looking for a self-starter who delivers exceptional client experiences and thrives in fast-paced, team-oriented environments. Our ideal candidate can balance competing priorities, is driven to solve complex problems, and excels at engaging with multiple cross-functional stakeholders. We value those who pursue greatness, act with integrity, and contribute to a culture where we win together.

Requirements

6–8+ years of experience in product management, product ownership, data analysis, or data governance within financial services.
Expert-level proficiency in SQL and cloud data platforms (Snowflake, AWS, Databricks, Redshift).
Experience in accounting systems, pricing platforms, or financial reporting preferred.
Experience with Agile methodologies and tools such as Jira and Confluence.
Experience with BI tools (Tableau, Power BI, Qlik, Domo or Sisense) and data governance tools (Collibra, Alation or AWS Datazone).

Nice To Haves

Understanding of SEC/FINRA regulations related to financial data and client communications is a plus.
Experience working with data visualization or reporting platforms.
Background in user experience design or client journey mapping.
Experience leveraging AI to improve outcomes and increase efficiency.

Responsibilities

Own and manage product backlogs for TBAR and PSP, ensuring alignment with business goals and client needs.
Collaborate with engineering, design, compliance, operations, and other stakeholders to deliver high-quality product enhancements.
Translate business requirements into clear user stories and acceptance criteria for both TBAR and PSP.
Prioritize features and enhancements based on client impact, regulatory requirements, and technical feasibility.
Define and track KPIs to measure product performance, client satisfaction, and operational efficiency.
Ensure consistency of data definitions, classifications, and taxonomies across accounting and pricing systems.
Maintain and enrich data dictionaries, lineage views, and business glossaries.
Develop and document standardized workflows for data issue remediation and vendor management.
Stay informed on industry trends, regulatory changes, and best practices in financial data management.
Balance competing priorities and thrive in solving/addressing needs of multiple cross-functional stakeholders.