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Principal Data Product Manager - Enterprise Data Office

Job in Los Angeles, Los Angeles County, California, 90079, USA
Listing for: RiseMe
Full Time position
Listed on 2026-09-28
Job specializations:
  • IT/Tech
    Data Analyst, Data Engineering, Data Science Manager
Salary/Wage Range or Industry Benchmark: 208245 - 354017 USD Yearly USD 208245.00 354017.00 YEAR
Job Description & How to Apply Below

“I can be myself at work.”

You are more than a job title. We want you to feel comfortable doing great work and bringing your best, authentic self to everything you do. We value your talents, traditions, and uniqueness—and we’re committed to fostering a strong sense of belonging in a respectful workplace.

We intentionally seek diverse perspectives, experiences, and backgrounds, investing in a culture designed to celebrate differences. We believe that belonging leads to better outcomes and a stronger community of associates united by our mission. At Capital, we live our core values every day:
Integrity, Client Focus, Diverse Perspectives, Long-Term Thinking, and Community.

“I can influence my income.”

You want to feel recognized r performance will be reviewed annually, and your compensation will be designed to motivate and reward the value that you provide. You’ll receive a competitive salary, bonuses and benefits. Your company-funded retirement contribution will factor in salary and variable pay, including bonuses.

“I can lead a full life.”

You bring unique goals and interests to your job and your life. Whether you’re raising a family, you’re passionate about where you volunteer, or you want to explore different career paths, we’ll give you the resources that can set you up for success.

  • Enjoy generous time-away and health benefits from day one, with the opportunity for flexible work options

  • Receive 2-for-1 matching gifts for your charitable contributions and the opportunity to secure annual grants for the organizations you love

  • Access on-demand professional development resources that allow you to hone existing skills and learn new ones

“I can succeed as a Data Product Manager Principal at Capital Group.”

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.

"I am the person Capital Group is looking for."

  • Bachelor’s degree in computer science, data science, data analytics, or related technical field
  • You have at least 10 years of experience in investment data, investment technology, product management, analytics, consulting, or related…
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