Lead Data Product Manager – Global GTM & Analytics

504 CGCG-US CG Companies Global-US; Irvine (CA); On-site; USD 150,000 - 290,000; Full time

Benefits offered by this job

Mentoring programs

Tuition reimbursement

Wellness and mental health support

Family-first benefits

Performance bonuses

Company-funded retirement plan

Job summary

Capital Group is seeking a Data Product Manager, part of the Global Product & Go-To-Market organization, to translate demand into a prioritized data-centric roadmap. You will connect investment products with the data used to understand positioning and sales, working across data, technology, product and governance teams to deliver reusable data products for reporting and decision-making.

You will maintain a ranked backlog, define adoption measures, and partner with data product creators,

Qualifications

• Four+ years in data, analytics and data product management.
• Knowledge of investment product structures like mutual funds, ETFs, CITs, SMAs, and insurance products.
• Experience with data governance, data contracts and data source sourcing.

Responsibilities

• Maintain a single backlog across Investment Product and Go-To-Market Analytics.
• Consolidate related requests into clear outcomes and communicate decisions to domain owners.
• Prioritize data availability and data contracts, coordinating with stewards, engineering and architecture.
• Own the roadmap for sales, flows, assets, territory, and segmentation data products.

Skills

SQL

Power BI

Data product management

Influence and cross-functional liaison

Tools

Capital Group data platforms

Job description

Capital Group is seeking a Data Product Manager, part of the Global Product & Go-To-Market organization, to translate demand into a prioritized data-centric roadmap. You will connect investment products with the data used to understand positioning and sales, working across data, technology, product and governance teams to deliver reusable data products for reporting and decision-making.

You will maintain a ranked backlog, define adoption measures, and partner with data product creators,