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Senior Data Product Owner – Wealth Management Participant Data Domain

LPL Financial Global Capability Center
IND
Full-time
Onsite
Discovered 1 months ago
Product analyticsData analysisData product ownershipSQLData platformsDistributed data systems

Full Job Posting

About the Employer

LPL Financial’s Global Capability Center describes a collaborative, integrity-led technology culture supporting financial advisors.

Job Overview

LPL Financial is seeking a Data Product Analyst to support strategic data platforms and data production, shaping, governance, and delivery.

The role sits across product management, data product ownership, and advanced analysis as a senior individual contributor.

The position focuses on data as a product, including data contracts, quality validation, downstream impact, and platform decisions.

Product Discovery and Capability Support

  • Translate business and platform needs into data-centric problem statements.
  • Evaluate value, risk, and complexity across data initiatives for roadmap planning.
  • Help define outcomes and success measures for data platform capabilities.

Advanced Data Analysis

  • Perform exploratory and diagnostic analysis across distributed data sources and platforms.
  • Investigate data quality issues, lineage gaps, and semantic inconsistencies.
  • Conduct impact analysis for schema changes, new feeds, migrations, and decommissions.
  • Identify systemic data flow, transformation, and consumption issues and recommend durable solutions.

Data Product Ownership

  • Help define data contracts, schemas, semantic definitions, quality rules, validation logic, controls, usage expectations, and downstream dependencies.
  • Maintain traceability between business intent, data products, and technical implementation.
  • Partner with engineering, architecture, and data platform teams on reusable distribution patterns.

Agile Execution and Communication

  • Contribute data and platform context to Jira features, stories, and acceptance criteria.
  • Participate in backlog refinement, sprint planning, and demos.
  • Provide impact and dependency analysis and communicate complex platform concepts in decision-ready narratives.

Requirements

  • At least 5 years of experience in product analytics, data analysis, data product ownership, or platform-oriented product roles.
  • Strong hands-on SQL experience, including advanced querying, joins, and performance awareness.
  • Experience with data platforms, distributed data systems, or integration layers.
  • Experience using emerging AI-enabled capabilities for data analysis.
  • Experience in Agile or Scrum environments with cross-functional product and engineering teams.
  • Understanding of data modeling, semantic consistency, data quality, lineage, governance, pipelines, and event-driven architectures.

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