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Data Strategy Lead

PIMCO

Company websitepimco.com (PIMCO, opens in new tab)

Base salary $205K  to $305K

Employer-published annual base salary, USD. Advertised base range in Newport Beach, CA

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  • LocationNewport Beach, CA
  • WorkplaceWorkplace not stated
  • Status at last checkSource accepting applications when checked
  • Last checked (1 h ago) · observed since

About this job

PIMCO is a global leader in active fixed income with deep expertise across public and private markets. We invest our clients’ capital across a range of fixed income and credit opportunities, leveraging our decades of experience navigating complex debt markets. Our flexible capital base and deep relationships with issuers have helped us become one of the world’s largest providers of traditional and nontraditional solutions for companies that need financing and investors who seek strong risk-adjusted returns.

Since 1971, our people have shaped our organization through a high-performance inclusive culture, in which we celebrate diverse thinking.  We invest in our people and strive to imprint our CORE values of Collaboration, Openness, Responsibility and Excellence. We believe each of us is here to help others succeed and this has led to PIMCO being recognized as an innovator, industry thought leader and trusted advisor to our clients.

Job Description

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.

Key Responsibilities

  • Data Catalog & Governance
    • 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.
  • Technical Leadership & Architecture
    • 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.
  • Data Quality Control
    • 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.
  • Production Process Management
    • 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.
  • Analytics Innovation
    • Collaborate across PM groups and Analytics to provide thought leadership on leveraging AI/LLM and PIMCO data assets, to maximize business impact.

Requirements

  • 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.
PIMCO follows a total compensation approach when rewarding employees which includes a base salary and a discretionary bonus. Base salary is the fixed component of compensation that is determined by core job responsibilities, relevant experience, internal level, and market factors. The discretionary bonus is used to award performance and therefore is determined by company, business, team, and individual performance.
Salary Range: $ 205,000.00 - $ 305,000.00

Equal Employment Opportunity and Affirmative Action Statement

PIMCO recruits and hires qualified candidates without regard to race, national origin, ancestry, religion (including religious dress and grooming practices), sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), sexual orientation, gender (including gender identity and expression), age, military or veteran status, disability (physical or mental), any factor prohibited by law, and as such affirms in policy and practice to support and promote the concept of equal employment opportunity and affirmative action, in accordance with all applicable federal, state, provincial and municipal laws. The company also prohibits discrimination on other basis such as medical condition, or marital status under applicable laws.

Applicants with Disabilities

PIMCO is an Equal Employment Opportunity/Affirmative Action employer. We provide reasonable accommodation for qualified individuals with disabilities, including veterans, in job application procedures. If you have any difficulty using our online system due to a disability and you would like to request an accommodation, you may contact us at 949-720-7744 and leave a message. This is a dedicated line designed exclusively to assist job seekers with disabilities to apply online. Only messages left for this purpose will be considered. A response to your request may take up to two business days.

Source: PIMCO on Workday · View original posting (opens in new tab)

This range next to 6 other live PIMCO roles with the nearest advertised base floor
Chart as a table
This range next to 6 other live PIMCO roles with the nearest advertised base floor
RolePublished base
Data Strategy Lead (this listing)$205K - $305K
Portfolio Manager – Insurance, FIG$205K - $305K
Account Manager, Alternatives Investment Specialist (West Region)$205K - $240K
Investment Professional - CRE Equity Acquisitions$205K - $305K
Account Manager, Institutional Corporate Client Group$205K - $240K
Account Manager, Latin America$205K - $240K
VP, Quantitative Research$205K - $240K

Same $100K to $400K scale as every card. All PIMCO roles · How to read the bar

Observed changes

  1. First observed on the employer's board
  2. Began meeting the published-salary criteria
Observed since
Where this pay comes from

Location as the employer wrote it: Newport Beach, CA USA

Salary Range: $ 205,000.00 - $ 305,000.00

Method
Employer text, read with fixed rules and re-verified
Checked
Rule set
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The pay passage appears in the employer's own job text. Fixed, deterministic rules located it, and the passage below was checked against the stored copy of the posting.

What we verified

  • The pay figures come from the employer's own listing, quoted exactly above.
  • The pay is an annual base salary in US dollars with a minimum of at least $100,000.
  • The role was publicly listed on the employer's job board when last checked.

We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.