Data Strategy Lead Jobs in USA with Visa Sponsorship
Data Strategy Lead roles qualify for H-1B visa and O-1 visa sponsorship as specialty occupations requiring a bachelor's degree or higher in a quantitative or analytical field. Most employers sponsor through H-1B, though senior candidates with published work or industry recognition may qualify for the O-1A. For detailed occupation requirements, see the O*NET profile.
Find Data Strategy Lead JobsOverview
Showing 5 of 145+ Data Strategy Lead jobs
See all 145+ Data Strategy Lead Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Data Strategy Lead roles.
Get Access To All JobsINTRODUCTION
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.
ABOUT THE JOB
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.
INTRODUCTION
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.
ABOUT THE JOB
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.
See all 145+ Data Strategy Lead Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Data Strategy Lead roles.
Get Access To All JobsTips for Finding Data Strategy Lead Jobs
Frame your degree as directly relevant
H-1B approval for Data Strategy Lead roles depends on demonstrating that your degree, in statistics, computer science, economics, or a related field, directly underpins the job duties. A mismatch here is the most common RFE trigger for data roles.
Target employers with H-1B filing history
Not every company that posts a data strategy role has sponsored visas before. Prioritize employers with a demonstrated track record of H-1B filings, they understand the process and are far less likely to withdraw an offer once they see the paperwork involved.
Lead with business impact, not technical skills
Data Strategy Leads are evaluated on organizational influence, not just technical output. In your application and sponsorship conversations, emphasize cross-functional leadership and measurable business outcomes, this strengthens both your candidacy and the specialty occupation argument to USCIS.
Understand how cap-exempt employers change your timeline
Universities, nonprofits, and certain research organizations are H-1B cap-exempt. If you're open to those environments, you can start any time of year and avoid the April lottery entirely, a significant advantage if your OPT or current status has a hard deadline.
Consider the O-1A if you have documented achievements
Senior data strategists with published research, conference presentations, significant media coverage, or awards may qualify for the O-1A. This visa bypasses the lottery entirely and can be filed year-round, making it a serious alternative for candidates with a strong public record.
Get the LCA details right before signing an offer
Before your employer files an H-1B petition, they must obtain a certified Labor Condition Application from the Department of Labor confirming your role and work location. Confirm your employer knows this step, delays here can push your start date back by weeks.
Frequently Asked Questions
Does a Data Strategy Lead role qualify as a specialty occupation for H-1B purposes?
Yes, in most cases. A Data Strategy Lead typically requires a bachelor's degree or higher in a specific field such as statistics, computer science, economics, or information systems, meeting the specialty occupation threshold. The key is that the degree requirement must be specific to the field, not just any bachelor's degree. If the job description says 'bachelor's preferred' rather than 'required,' that weakens the specialty occupation argument and can trigger an RFE.
What degree fields are most likely to support H-1B sponsorship for this role?
Degrees in statistics, data science, computer science, economics, applied mathematics, or information systems map most cleanly to a Data Strategy Lead position. Business degrees with a quantitative concentration can work but face more USCIS scrutiny. If your degree is in an unrelated field, a combination of a related secondary degree and substantial experience in data roles may be used to establish the equivalency, though this requires careful documentation.
How competitive is H-1B sponsorship for Data Strategy Lead positions compared to other data roles?
Data Strategy Lead roles sit at a senior level, which generally helps sponsorship discussions, employers are more willing to invest in the H-1B visa process for leadership positions with hard-to-replace skill sets. That said, H-1B selection is still a lottery for most employers. Your best hedge is targeting cap-exempt organizations or building a profile strong enough to pursue the O-1A, which bypasses the lottery entirely.
Can I find Data Strategy Lead roles that offer visa sponsorship on Migrate Mate?
Yes. Migrate Mate is built specifically to surface jobs from employers who sponsor work visas, so you're not sorting through listings from companies that won't engage with the H-1B process. Searching on Migrate Mate filters your options to employers who have either sponsored before or are open to it, which saves significant time and reduces the risk of receiving an offer that later falls apart over sponsorship concerns.
What happens to my H-1B sponsorship if I change employers mid-petition or after approval?
If you change employers before your H-1B is approved, the original petition is typically withdrawn and your new employer must file a fresh petition, potentially requiring a new lottery entry if you're cap-subject. After approval, H-1B portability allows you to move to a new employer as long as the new role is in a specialty occupation and your new employer files an H-1B transfer petition before your current authorization expires. Gaps in employment can create complications, so timing matters.
What is the prevailing wage requirement for sponsored Data Strategy Lead jobs?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.