Product Manager - Reference Data

We are seeking a Product Manager to join our Reference Data team, based in NYC. Reference Data is part of the Shared Capabilities team at Addepar. Our mission is to build a scalable, efficient, and high quality data platform that integrates, connects, productionises, and distributes third-party data content across Addepar and to our clients and partners. The team is organized across the entire third party reference data and security data lifecycle, including Market Data feeds and the Addepar Security Master (ASM). This role requires deep data skills, rigorous thinking, and the ability to approach tasks with a builder mindset.

Responsibilities

Build data-driven products for market data and the security master, driving market data adoption and commercial growth; Conduct data investigations, ad hoc queries, and structured analyses that inform prioritisation, requirements, and product decisions; Build and maintain data pipelines, reporting, and self-serve dashboards for dataset profitability, vendor licensing costs versus revenue, pipeline health, feed coverage, and commercial activity; Develop and improve repeatable tooling and workflows for vendor usage reporting, licensing reconciliation, and entitlement tracking; Productise monitoring for market data pipelines and operational dashboards, triaging feed errors and flagging issues to Operations and/or R&D; Apply AI-assisted tools to accelerate Reference Data product outcomes and analytical workflows

Requirements

2–4 years of experience as a product owner, data analyst, business analyst, or product analyst; Strong SQL skills, including complex queries used for investigation; Experience using AI-assisted tools to accelerate analytical work and deliver outcomes tied to business needs; Ability to build reporting across multiple data sources such as Salesforce, finance, and operational data; Experience with customer and usage analytics, ideally involving financial data vendors and their content; A builder and self-starter who makes repeatable work more scalable through reliable tools and automation; A clear communicator who can write up findings, document processes and tools, and present analysis to diverse audiences; Legally authorized to work in the United States without current or future visa sponsorship, and authorized to begin work on the first day of employment

Nice to have

Experience with data pipelines, dashboards, or automation in Databricks or similar platforms; Familiarity with vendor licensing or data entitlements; Knowledge of financial data concepts such as asset classes, security-level concepts, reference data, and pricing, or a desire to learn more