Data Strategy Lead Jobs in New York
Data Strategy Lead jobs in New York are among the most active in the country, concentrated in financial services, media and entertainment, healthcare, and technology, with openings at every level from mid-career to senior director. Most hiring is centered in New York City, with additional activity in White Plains and Albany, where organizations like JPMorgan Chase, Bloomberg, and Memorial Sloan Kettering maintain large data and analytics teams. The most in-demand specialties include enterprise data governance, AI-driven business intelligence, and cross-functional data product strategy. Find a role that fits below and apply directly.
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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 ROLE
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.
COMPENSATION
- Salary Range: $205,000.00 - $305,000.00
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.
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 ROLE
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.
COMPENSATION
- Salary Range: $205,000.00 - $305,000.00
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.
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 22 Data Strategy Lead Jobs in New York
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Find Data Strategy Lead JobsData Strategy Lead Jobs by City in New York
Where New York roles are concentrated, by current openings.
Data Strategy Lead Job Market in New York
A snapshot from current New York openings, updated as new roles post.
Who's Hiring
- Genpact2
- Meta2
- New York Life2
- Rippling2
- Amazon1
Top Industries Hiring
- Technology & Software8
- Insurance3
- Investment & Asset Management3
- Banking & Financial Services2
- Construction & Real Estate1
What New York Employers Look For
The qualifications that appear most often in data strategy lead jobs across New York.
- Bachelor's or master's degree in data science, statistics, computer science, or a related field
- Proven experience building and executing enterprise data strategies across large organizations
- Proficiency with modern data platforms such as Snowflake, Databricks, or Google BigQuery
- Strong background in data governance frameworks and regulatory compliance in financial or healthcare sectors
- Demonstrated ability to align data initiatives with business goals and communicate with executive stakeholders
- Experience leading cross-functional teams of data engineers, analysts, and product managers
Data Strategy Lead Jobs in New York: Frequently Asked Questions
How do you become a data strategy lead in New York?
Most data strategy leads in New York follow a path that starts with a degree in data science, computer science, statistics, or business analytics, followed by several years in data analytics, data engineering, or business intelligence roles. New York employers, particularly those in finance and healthcare, expect familiarity with data governance and compliance. There is no state-issued license required, but certifications from bodies like DAMA International strengthen candidacy considerably.
Which companies hire data strategy leads in New York?
Employers hiring data strategy leads in New York right now include Genpact, Meta, and New York Life, based on current listings on Migrate Mate as of June 2026. New York's concentration of major financial institutions, global media companies, and large healthcare networks means demand for this role is particularly consistent compared to other U.S. markets.
Which New York cities have the most data strategy lead jobs?
New York and Buffalo account for the most data strategy lead openings in New York. New York City dominates because it is home to the headquarters of major financial, media, and technology firms, while smaller metro areas like White Plains and Albany see demand driven by healthcare systems, state government agencies, and regional corporate offices that have built out dedicated data functions.
Are there remote data strategy lead jobs in New York?
Yes, and more than most fields. About 32% of data strategy lead openings tied to New York are remote or hybrid as of June 2026, reflecting the desk-based and analytical nature of the work. The parts of the role most commonly offered remotely include data governance program management, stakeholder reporting, and data roadmap development, while on-site presence is more often expected during leadership alignment or team build-out phases.
How can I get hired as a data strategy lead in New York with little or no experience?
The most realistic entry path is through a data analyst or business intelligence analyst role at a New York employer, then building toward strategy responsibilities over two to three years. Large New York organizations in financial services and healthcare, including institutions affiliated with the Mount Sinai Health System or Citi, run rotational analyst programs that develop candidates for senior data roles. Building a portfolio of governance or roadmap projects and pursuing a DAMA Certified Data Management Professional credential gives candidates a concrete edge.
Where can I find and apply to data strategy lead jobs in New York?
You can find and apply to data strategy lead jobs in New York on Migrate Mate, which lists current openings across the state. Find roles that fit your background and apply directly to each one.
See All 22 Data Strategy Lead Jobs in New York
Find roles in New York that match your experience and apply in just a few clicks.
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