Product Analyst, Retirement Data Insights and Governance

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

• Partner with Product Risk, Legal, and Compliance to ensure regulatory alignment (e.g., ERISA, DOL, data privacy)

• Define and monitor data quality metrics, controls, and issue resolution processes

Core Responsibilities

• Act as SME for retirement data across products, platforms, and workflows

• Lead cross-functional initiatives to enhance data infrastructure and reporting capabilities

• Define and document data requirements, definitions, and lineage

• Deliver insights through analysis, dashboards, and executive presentations

• Partner across Technology, Operations, Finance, and Risk to drive data initiatives

• Support vendor integrations and data flows related to recordkeepers and platform providers

• Engage stakeholders to ensure data solutions meet business and advisor needs

What are we looking for?

We’re looking for strong collaborators who deliver exceptional client experiences and thrive in fast-paced, team-oriented environments. Our ideal candidates pursue greatness, act with integrity, and are driven to help our clients succeed. We value those who embrace creativity, continuous improvement, and contribute to a culture where we win together and create and share joy in our work.

Requirements

• Bachelor’s degree with 5–7+ years of relevant experience in data, product analytics, or platform roles

• Experience working with retirement products, recordkeepers, or financial services platforms

• Understanding of retirement data structures, including plans, participants, contributions, and rollovers

• Experience with