Data Strategy Lead

PIMCO-posted 3 days ago

Full-time • Mid Level

Newport Beach, CA

1,001-5,000 employees

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We are seeking a Data Strategy Lead for our Portfolio Management business to join us in our Newport Beach (preferred) or NYC office. This person will be part of our PM Analytics function and be responsible for shaping our technical vision for data management and production that underpins our research, analytical tools, dashboards and decision-support for our PM teams. You will oversee the creation of a comprehensive internal data catalog that will enable seamless discovery, access, and governance of high-quality market and analytical data. Your cross-team leadership will drive the development of scalable, reusable analytical frameworks - especially for financial time series analysis, while ensuring rigorous data quality and production workflow oversight.

Oversee the creation and management of a comprehensive internal data catalog, ensuring market and analytical data assets are easily discoverable and accessible.
Implement best practices for data quality and accuracy to support high-impact analytics and investment decisions.
Partner with senior leaders across Technology, Analytics and PM to align data strategies with business objectives and firm-wide technology initiatives. Ensuring cost effective solutions.
Design and implement scalable data pipelines and production workflows for portfolio analytics, including reusable libraries for time series, financial modeling, risk, and performance analysis.
Integrate new data sources into production systems, ensuring seamless ingestion, transformation, and validation. Lead efforts to optimize data acquisition strategies, ensuring alignment with a low-cost, high-value approach that maximizes business impact.
Develop and enforce rigorous data quality controls, including automated validation, anomaly detection, reconciliation, and real-time monitoring for data integrity, latency, and completeness.
Lead root cause analysis and remediation for data quality issues, collaborating with technology and analytics teams.
Partner with Technology to design end-to-end production data lifecycle, from acquisition to analytics and reporting, while implementing best practices for CI/CD, version control, and testing.
Ensure appropriate documentation and audit trails for all production data processes.
Collaborate across PM groups and Analytics to provide thought leadership on leveraging AI/LLM and PIMCO data assets, to maximize business impact.

Advanced degree in Data Science, Computer Science, Financial Engineering, or related quantitative field preferred.
Proven experience architecting and managing production data pipelines and analytics platforms in financial services or asset management.
Demonstrated ability to lead technical teams and collaborate across business and technology functions.
Programming in Python and experience with cloud-based data platforms and big data technologies such as AWS and Snowflake.
Expertise in time series analysis, financial modeling, quantitative analytics, and strong understanding of global markets (i.e., fixed income, commodities, equities, and derivatives).
Strong background in data query, search, monitoring, and root cause analysis.

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