Principal Data Product Manager - Enterprise Data Office

Capital Group•Los Angeles, CA

6d•Hybrid

About The Position

The Enterprise Data Office enables Capital Group’s most critical business capabilities through trusted, scalable, and reusable data solutions. We work across the firm to accelerate business outcomes, improve data accessibility and quality, and advance the use of AI in how data is discovered, managed, and consumed. As a Principal Data Product Manager within the Enterprise Data Office, you will lead the data components of Capital Group’s most strategic and complex Investment Group initiatives. Working across multiple data domains, platforms, and industry-leading providers, you will translate business outcomes into scalable data solutions that support investment research, portfolio construction, risk management, analytics, and decision-making. You will work with Investment Group capability leaders, product managers, architects, engineers, data leaders, and external providers to identify, source, profile, validate, and operationalize the data required to achieve business outcomes. You will connect business priorities to data requirements, resolve complex cross-domain dependencies, and drive and coordinate delivery across teams, platforms, and organizational boundaries. You will help define, shape, and validate the data capabilities that support some of Capital Group’s most important investment decisions. We are looking for a leader who combines deep investment-domain expertise, strong data management, data platform, data delivery expertise, and an AI-first mindset. You will champion AI-enabled ways of working while helping define, prioritize, and validate the next generation of AI-powered capabilities that improve the speed, consistency, quality, and scale of Data Product Management across the Enterprise Data Office.

Requirements

Bachelor’s degree in computer science, data science, data analytics, or related technical field
At least 10 years of experience in investment data, investment technology, product management, analytics, consulting, or related disciplines
Deep understanding of investment processes supporting portfolio management, research, quantitative investing, risk management, performance measurement, attribution, and analytics
Strong expertise in enterprise data management, modern data platforms, and solutioning, and can effectively work with architects, engineers, and platform teams to deliver business outcomes
Experience working across multiple investment data domains, including market data, security master, benchmarks, holdings, transactions, performance, risk, research, and analytics.
Successfully translated complex business outcomes into actionable data requirements, delivery plans, and measurable results
Experience working with leading investment data providers, analytics platforms, and modern data technologies such as MSCI, Bloomberg, FactSet, Morningstar, Databricks, Snowflake, or comparable solutions
Embrace AI as a core part of how work gets done and have applied AI technologies to improve analysis, profiling, documentation, validation, or delivery outcomes

Responsibilities

Lead the data components of Capital Group’s most strategic and complex Investment Group initiatives.
Translate business outcomes into scalable data solutions that support investment research, portfolio construction, risk management, analytics, and decision-making.
Work with Investment Group capability leaders, product managers, architects, engineers, data leaders, and external providers to identify, source, profile, validate, and operationalize the data required to achieve business outcomes.
Connect business priorities to data requirements, resolve complex cross-domain dependencies, and drive and coordinate delivery across teams, platforms, and organizational boundaries.
Help define, shape, and validate the data capabilities that support some of Capital Group’s most important investment decisions.
Champion AI-enabled ways of working.
Help define, prioritize, and validate the next generation of AI-powered capabilities that improve the speed, consistency, quality, and scale of Data Product Management across the Enterprise Data Office.