Software Engineer
Where Ambition Meets Innovation Build a career that matches all your initiative with an impressive dose of innovation.
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
The Retirement Partners team within LPL’s Wealth Management group is responsible for delivering a highly competitive suite of retirement solutions and platforms for advisors and their clients. A critical enabler of this mission is building a scalable, accurate, and actionable data foundation that supports product growth, advisor engagement, and improved participant outcomes.
The Product Analyst, Retirement Data Insights and Governance will lead efforts to define, enhance, and operationalize data strategy, reporting, and governance across LPL’s retirement ecosystem. This includes ownership of product flow tracking, rollover data, participant-level insights, and data quality frameworks. This individual will serve as a bridge between business, technology, operations, and data teams, ensuring that retirement data is trusted, accessible, and leveraged to drive decision-making and product innovation.
Key Responsibilities
Data Strategy & Foundations
Define and enhance the retirement data strategy, including data models, architecture inputs, and foundational datasets
Partner with Technology and Data Engineering to ensure scalable, high-quality data pipelines across retirement products and platforms
Establish consistent definitions for key data elements across plans, participants, advisors, and product flows
Product Flow Tracking & Analytics
Design and implement end-to-end tracking of product flows, including contributions, rollovers, distributions, and conversions
Develop frameworks to track retirement asset movement, conversion rates, and lifecycle metrics
Create visibility into advisor and client behavior across retirement products
Participant-Level Data & Insights
Build and enhance capabilities around participant-level data aggregation, segmentation, and reporting
Partner with business stakeholders to generate insights that improve participant engagement and outcomes
Enable use cases such as financial wellness, advice delivery, and targeted outreach
Reporting & Business Intelligence
Define and deliver standardized reporting and dashboards for leadership, product teams, and advisor-facing groups
Translate business needs into clear data requirements and reporting outputs
Ensure data is actionable, intuitive, and aligned to business KPIs
Data Governance & Quality
Establish and support data governance frameworks, including ownership, controls, and documentation
Posted July 27, 2026