Overview As a Principal Data Product Manager in Capital Group's Enterprise Data Office, you will lead data initiatives that enable investment research, portfolio construction, risk management, and analytics. You'll translate business needs into scalable data solutions across multiple domains and platforms, partnering with capability leaders, architects, engineers, and external providers. You will shape data capabilities and champion AI-enabled ways of working to improve speed, quality, and scale. This is a high-impact role guiding data products that directly influence investment decisions and firm outcomes.
Compensation / Benefits- Generous time-away and health benefits from day one
- Flexible work options
- 2-for-1 matching gifts for charitable contributions
- Annual grants for organizations you love
- On-demand professional development resources
- Retirement plan with 15% company contribution
Responsibilities- Lead data components for Investment Group initiatives across domains
- Translate business outcomes into data requirements, delivery plans, and measurable results
- Coordinate delivery across teams, platforms, and organizational boundaries
- Define and validate data capabilities to support investment decisions
- Collaborate with architects, engineers, data leaders, and external providers
- Champion AI-enabled data practices and shape next-generation data products
Key requirements- Bachelor in Computer Science (or related field)
- 10+ years in investment data, investment technology, product management, analytics, or consulting
- Deep understanding of investment processes (portfolio management, research, risk management, analytics)
- Strong expertise in enterprise data management and modern data platforms
- Experience across investment data domains (market data, security master, benchmarks, holdings, transactions, performance, risk, analytics)
- Ability to translate complex business needs into actionable data requirements and delivery plans
- Experience with leading data providers and platforms (MSCI, Bloomberg, FactSet, Morningstar, Databricks, Snowflake)
- AI-first mindset with applying AI to improve analysis, profiling, validation, or delivery outcomes
- Cross-functional leadership
- Stakeholder management
- Strategic thinking
- Enterprise data management
- Modern data platforms
- Data delivery and architecture
