Lead Product Manager – Digital Instrumentation and Enablement

About One Main Financial

One Main Financial is the largest non-bank lender in the U.S., proudly serving millions of customers with safe, affordable, and transparent installment loans and credit cards. We are an innovative, digital-focused company who is transforming the way our customers think about and use financial products.

At One Main, we are building and scaling industry-leading digital experiences across web and mobile. To do this effectively, we need a consistent, reliable way to understand how customers interact with our products.

As the Lead Product Manager – Digital Instrumentation & Enablement
, you will define and scale the systems that power how we capture, structure, and activate customer behavioral data across our digital ecosystem.

You will own the strategy and execution for digital instrumentation —ensuring that teams across product, analytics, and marketing can confidently measure customer behavior, generate insights, and make data-driven decisions. This role sits at the intersection of product, engineering, and data, and is critical to enabling high-quality experimentation, analytics, and customer experience optimization.

At One Main, we are scaling digital experiences across web and mobile, and need a consistent, reliable way to understand how customers interact with our products. As the Lead Product Manager – Digital Instrumentation & Enablement, you will own the strategy and execution for how behavioral data is captured, structured, and made usable across the organization. You will define instrumentation standards, ensure data quality, and enable product, analytics, and marketing teams to confidently measure and optimize customer journeys.

In this role, you will establish event tracking standards, drive data quality, and embed measurement into the product development lifecycle so teams can make informed, data-driven decisions. You will operate at the intersection of product, engineering, and analytics, partnering closely with data engineering and analytics teams to ensure that what we measure is consistent, trusted, and actionable across the organization.

• Define and implement a standardized event taxonomy, naming conventions, and event schema across all digital products, ensuring consistent and reliable behavioral data captured through our instrumentation frameworks
• Own and evolve the client-side instrumentation strategy (e.g., Hydra), establishing clear standards for how user activity is tracked, structured, and transmitted across web applications
• Establish and enforce data governance for instrumentation, including ownership models, required event properties, and clear guidelines for how data is captured, named, and maintained
• Lead the effort to improve data quality and reliability by introducing validation frameworks, monitoring, and processes that ensure accuracy and completeness of behavioral data
• Partner with product and engineering teams to embed instrumentation requirements into the product development lifecycle, ensuring features are not released without proper tracking and measurement
• Audit existing implementations across tools and applications to identify inconsistencies, fragmented tracking approaches, and gaps in data, and drive prioritized remediation efforts
• Align client-side behavioral data with backend systems and business outcomes, reducing reliance on downstream data stitching and improving the usability of data in Snowflake and other analytics platforms
• Define and standardize core identifiers (e.g., user, session, transaction) and ensure consistent usage across systems to address identity fragmentation and improve data integrity
• Develop and execute a roadmap to reduce dependency on legacy systems (e.g., Landable) and enable a more scalable, decoupled, and maintainable data architecture
• Drive adoption of instrumentation standards across teams by providing reusable templates, documentation, and tooling that reduce implementation friction and improve consistency at scale

• Bachelor’s degree in Computer Science, Engineering, Information Systems, Data Analytics, or a related technical field (or equivalent…