Senior Market Data Product Manager — AI-Driven Finance Platform

Addepar1; United States; Remote; USD 150,000 - 210,000; Full time

Job summary

Addepar is seeking a Senior Data Product Manager for the Reference Data team to shape the data platform that powers client workflows. You will own Market Data Feeds, partner with vendors, and connect data to downstream products to create actionable insights for clients.

You will lead cross-functional efforts with engineering, GTM and data operations, applying agile methods, SQL, Python and Databricks to improve data quality, licensing, and distribution.

Qualifications

• Extensive product management experience with user workflows.
• Familiar with market data vendors (Bloomberg, LSEG, S&P, Morningstar).
• Domain expertise in market data processing, licensing and entitlements.
• Experience launching commercial data products in financial services.
• Ability to work cross-functionally with engineering, operations, GTM.
• Knowledge of SQL; Python and Databricks a plus.
• Experience using AI tools to drive PM outcomes.

Responsibilities

• Define the product roadmap for Market Data Feeds and measure success.
• Own feed end-to-end from sourcing to production delivery.
• Strengthen market data operations and integrate data across products.
• Identify gaps in market data coverage with stakeholders.
• Understand licensing terms and cost implications in sourcing.
• Collaborate with licensing and finance on data sourcing decisions.
• Contribute to Security Master and enrich data delivered to clients.
• Coordinate with GTM, Sales and Support on data changes.
• Deeply understand Addepar's products to spot opportunities.

Skills

Product management

Cross-functional collaboration

Agile methodologies

SQL

Python

Databricks

AI tools in PM

Education

Bachelor's degree in a relevant field

Tools

Bloomberg

LSEG

S&P Global

Morningstar

Job description

Addepar is seeking a Senior Data Product Manager for the Reference Data team to shape the data platform that powers client workflows. You will own Market Data Feeds, partner with vendors, and connect data to downstream products to create actionable insights for clients.

You will lead cross-functional efforts with engineering, GTM and data operations, applying agile methods, SQL, Python and Databricks to improve data quality, licensing, and distribution.