Investment Data Solutions Manager

We are a leading global asset management firm with over 3,000 employees across 20 offices in 15 countries; we help millions of investors around the world pursue their financial goals.

We hire critical thinkers. People who thrive in a collaborative culture like ours where we solve real problems while building the future of finance.

You

• Are excited to be part of a vibrant engineering community that values diversity, hard work, and continuous learning.

• Love solving complex real-world business problems.

• Recognize that cross-functional collaboration is a core component of success for the team.

• Believe there are multiple ways to solve most technical problems and are willing to debate the trade-offs.

• Have become a stronger engineer by making mistakes and learning from them.

• Are a doer, someone who wants to grow their career and gain experience across technologies and business functions.

We

• Continuously invest in a high-performance and inclusive culture, in which a diversity of backgrounds, experiences and viewpoints are celebrated and valued.

• Encourage career mobility, so you can benefit from learning different functions and technologies, and we gain the benefits of your experience across teams.

• Run technology pro bono programs that help the non-profit community and give our engineering community opportunities to volunteer and participate.

• Offer education reimbursements and ongoing training in technology, communication, and diversity & inclusion.

• Embrace knowledge sharing through lunch-and-learns, demos, and technical forums.

• Consider our people to be our greatest asset—we will help you learn what PIMCO Technology has to offer so you can participate in activities that benefit your career while delivering impactful technology solutions.

The Investment Data Solutions Manager is responsible for enabling investment professionals to discover, access, and use investment data effectively.

The role partners closely with Portfolio Managers, Analytics teams, Quantitative Research teams, Risk teams, and other data consumers to understand requirements, onboard new datasets and content, improve adoption of available data services, and ensure data is delivered reliably from source through business consumption.

The role leads an onshore/offshore Data Operations team and serves as the accountable owner for assigned investment data services. Success is measured by service reliability, speed of onboarding new data, ease of data discovery and access, and the effectiveness of the operating model supporting data delivery.

Responsibilities:

• Build trusted relationships with Portfolio Managers, Analytics teams, Quantitative Research teams, Risk teams, and other investment data consumers.
• Understand how investment teams use data and translate business needs into actionable requirements.
• Help users identify, access, and effectively leverage available data.
• Promote adoption of data services and reduce friction in the user experience.
• Coordinate onboarding of new datasets and new content required by investment teams.
• Drive delivery of approved data requirements from request through production availability.
• Partner with engineering, operations, and vendor teams to accelerate delivery and remove obstacles.
• Ensure delivered data meets agreed business requirements and is fit for purpose.
• Act as the accountable owner for assigned investment data services and datasets.
• Maintain accountability for data service outcomes from source through business consumption.
• Ensure services meet expectations for availability, timeliness, completeness, accuracy, and usability.
• Coordinate resolution of data incidents and recurring service issues.
• Establish and maintain a practical data governance operating model that defines clear roles, responsibilities, decision rights, and accountability across business, technology, operations, and vendor teams.
   
• Define ownership for data onboarding, service management, data quality, issue resolution, controls, and business communication.
• Ensure operational processes, escalation paths, and support models enable reliable service delivery and effective cross-functional execution.
• Lead an onshore/offshore Data Operations team responsible for onboarding, support, and operational management of investment data services.
• Set priorities, develop team capability, and align resources to business needs.
  Promote accountability, ownership, operational excellence, and continuous improvement.

Position Requirements:

• 8+ years of experience working with investment, market, pricing, risk, reference, economic, analytics, or related financial data
• Strong understanding of investment management workflows and how investment professionals consume data.
• Experience partnering directly with Portfolio Managers, Analytics teams, Quantitative Research teams, Risk teams, traders, or similar stakeholders.
• Experience leading business-facing data operations, data services, or data management organizations.
• Experience onboarding and supporting business-critical datasets and data services.
• Demonstrated ability to manage data service issues through investigation, escalation, remediation, and resolution across multiple teams.
• Experience establishing operating models, ownership structures, service management processes, or cross-functional governance frameworks.
• Experience leading distributed onshore/offshore teams.
• Strong stakeholder management, communication, and execution skills.
• Ability to influence and drive outcomes across business, technology, operations, and vendor organizations without direct authority.
• Strong analytical and problem-solving skills.
• SQL and Python proficiency sufficient to investigate issues, validate outcomes, and engage effectively with technical teams.

Preferred Qualifications:

• Fixed Income, Multi-Asset, Alternatives, Risk Analytics, or Market Data experience
• Experience with investment data vendors and external data providers.
• Experience supporting production data services, incident management, and operational service ownership.
• Experience working with enterprise data platforms and analytics environments.
• CFA, FRM, or equivalent investment industry experience.
   

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: $ 150,000.00 - $ 240,000.00

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.