Data Product Manager

Irvine

Capital Group

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

The Data Enablement team functions as a part of the Insights and Analytics team, and plays a crucial role in maturing our data capabilities to support the Global Client Groups. We are focused on making trusted and relevant data easily accessible to our stakeholders across Sales, Marketing, Digital Experience and Servicing. Through thoughtful design and implementation of standard and reusable data products, we empower downstream teams with robust self-service capabilities, facilitating analytics operations, and enabling their own use-cases. 

As the Data Product Manager, Global Client Data, you will enhance our data platform, ensuring the availability of accurate, reliable, and well-governed core data. This role is pivotal in driving the modernization of our data infrastructure and contributing to the success of our growing footprint across the spectrum of distribution channels. You will partner closely with Product and Engineering to gain a deep understanding of our technology ecosystem and identify and prioritize strategic product opportunities that improve the user experience while building data for future use-cases. A key focus in the near term will be supporting the Product and Technology team’s re-platforming initiative, which is building on the foundation to enable single source of truth for Client Data. You will challenge the team to think bigger and bolder about opportunities to leverage data in new ways, while also delivering the current needs of our business and users.

“I am the person Capital Group is looking for.”

  • You will define and execute a comprehensive product strategy for the Client Data by assimilating market, user, and stakeholder inputs into a cohesive plan.

  • You have experience translating the strategy into a product roadmap, prioritizing features that have the most significant impact on our data customers and the business.

  • You have led the design and operationalization of technology solutions focused on enhancing data quality, metadata governance, taxonomy management, and data policy enforcement.

  • You will manage the end-to-end product development lifecycle, delivering features iteratively to address business challenges.

  • You can establish strong partnerships with internal teams and stakeholders, fostering continuous feedback loops to understand their data-related needs.

  • You will develop a deep understanding of upstream/downstream systems and processes to shape data model design and impact adjacent systems.

  • You can ensure thoughtful product evolution addressing product lifecycle, adoption/migration experience, and providing clear guidance to users.

  • You will drive product discovery, requirements definition, and feature prioritization, leveraging product management best practices

What We're Looking For:

  • 3-5 years of Product Management experience with a proven track record of successfully launching and scaling data products.

  • You have a Degree in Statistics, Mathematics, Computer Science, or related field. Master’s degree highly preferred.

  • Experience managing B2B2C or B2B technical products throughout the product development lifecycle, preferably in the Financial Services/Asset Management industry for data platforms, data experience, tools, workflows, and/or data infrastructure.

  • Ability to effectively prioritize and communicate your product roadmap across business functions and geographies.

  • Perform data analysis and profiling using SQL, Python, and Data Visualization tools.

  • Comfortable working with ambiguity, as the role may evolve based on partner collaboration, strategy, and product priorities.

  • Exceptional communication skills, both written and verbal, capable of engaging in discussions at various levels within the organization.

  • Ability to inspire, motivate, and lead cross-functional teams, including other product managers, architects, engineers, and business partners.

  • Highly curious and want to understand and shape a complex domain

  • Proficient in applying a combination of qualitative and quantitative methods to define and measure product success.

  • Entrepreneurial mindset, comfortable rolling up your sleeves, thriving in ambiguity, and getting the work done.

  • Drives stellar execution across product, operations, and go-to-market teams. You can turn incomplete, conflicting, or early inputs into solid action plans

  • You have extreme attention to detail and a high bar for product excellence

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Southern California Base Salary Range: $131,596-$210,554

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In addition to a highly competitive base salary, per plan guidelines, restrictions and vesting requirements, you also will be eligible for an individual annual performance bonus, plus Capital’s annual profitability bonus plus a retirement plan where Capital contributes 15% of your eligible earnings.

You can learn more about our compensation and benefits here.

* Temporary positions in Canada and the United States are excluded from the above mentioned compensation and benefit plans.


We are an equal opportunity employer, which means we comply with all federal, state and local laws that prohibit discrimination when making all decisions about employment. As equal opportunity employers, our policies prohibit unlawful discrimination on the basis of race, religion, color, national origin, ancestry, sex (including gender and gender identity), pregnancy, childbirth and related medical conditions, age, physical or mental disability, medical condition, genetic information, marital status, sexual orientation, citizenship status, AIDS/HIV status, political activities or affiliations, military or veteran status, status as a victim of domestic violence, assault or stalking or any other characteristic protected by federal, state or local law.

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Tags: Computer Science Data analysis Data quality Data visualization Engineering Mathematics Model design Python SQL Statistics

Perks/benefits: Competitive pay Health care Salary bonus Team events

Region: North America
Country: United States
Job stats:  4  0  0

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