Data Strategy Lead Jobs
Data Strategy Lead jobs are open across financial services, healthcare, technology, and retail, from senior analyst to director level, with specializations in data governance, analytics strategy, and enterprise data architecture. Find a role that fits from the openings 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 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 144+ Data Strategy Lead Jobs
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Find Data Strategy Lead JobsData Strategy Lead Job Market
A snapshot from current openings nationwide, updated as new roles post.
Who's Hiring
- Meta14
- Google8
- Chamberlain5
- Apple4
- Citi4
Top Industries Hiring
- Technology & Software48
- Banking & Financial Services12
- Investment & Asset Management12
- Biotechnology & Pharmaceuticals8
- Insurance8
What Employers Look For
The qualifications that appear most often in data strategy lead jobs.
- 5+ years of experience in data strategy, analytics, or enterprise data management
- Proficiency with cloud data platforms such as Snowflake, BigQuery, or Databricks
- Experience developing and implementing data governance frameworks and policies
- Strong stakeholder management and executive communication skills
- Familiarity with data modeling concepts, metadata management, and data cataloging tools
- Bachelor's or master's degree in a quantitative, computer science, or business field
Tips for Your Data Strategy Lead Job Search
Quantify your data strategy impact
Hiring managers for data strategy leads expect concrete outcomes, not process descriptions. Reframe your resume bullets around decisions your strategy informed, cost reductions from data consolidation, or adoption rates of new data standards across business units.
Tailor your resume to the data maturity level
A company building its first data warehouse needs a different lead than one optimizing a mature lakehouse. Read the job description for signals like 'establish frameworks' versus 'scale existing infrastructure' and mirror that language in your summary and experience sections.
Highlight cross-functional stakeholder experience
Data strategy leads are evaluated heavily on their ability to align engineering, product, and executive teams. Name the specific stakeholder groups you've worked with and the business outcomes those partnerships produced, not just the technical deliverables.
Apply early to roles that fit
Migrate Mate lists data strategy lead openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Prepare a data strategy case study for interviews
Most data strategy lead interviews include a structured exercise where you diagnose a fictional company's data problems and propose a roadmap. Practice framing your answer around business value first, then tooling and architecture, so your reasoning reflects a lead's perspective rather than an analyst's.
Negotiate scope, not just compensation
When you receive an offer, clarify reporting structure, budget authority, and whether the role owns the data roadmap or advises on it. Ambiguity in those areas predicts friction after you start, and asking directly signals strategic maturity to the hiring team.
Data Strategy Lead Jobs: Frequently Asked Questions
Which companies are hiring the most data strategy leads?
The companies hiring the most data strategy leads right now include Meta, Google, and Chamberlain, with the largest share of openings in California, New York, and Georgia, based on current listings on Migrate Mate as of June 2026. Demand is strongest at large financial institutions, health systems, and enterprise technology companies undertaking major data modernization initiatives.
How many data strategy lead jobs are remote?
About 40% of data strategy lead openings are fully remote or hybrid as of June 2026, making it one of the more location-flexible senior roles in data. Sub-specializations focused on roadmap development, governance policy, and vendor evaluation tend to be the most remote-friendly, while roles tied to hands-on platform migration or embedded business-unit partnerships more often require some on-site presence.
How do you become a data strategy lead?
Most data strategy leads start in analytics, data engineering, or business intelligence before moving into roles with strategic scope. Building expertise in data governance and stakeholder alignment is essential. Taking ownership of a cross-functional data initiative, earning a relevant certification in cloud data platforms or data management, and demonstrating measurable business outcomes from your work are the clearest steps toward a lead-level role.
Can I get a data strategy lead job with limited experience?
Moving into a data strategy lead role with limited experience is achievable if you can demonstrate strategic thinking alongside technical credibility. Focus on roles at smaller companies or startups where the scope is broader and the title reflects potential as much as tenure. Contributing to a data governance project, leading a data quality initiative, or presenting a data roadmap to leadership in a current role builds the portfolio that lead-level hiring managers look for.
What does the data strategy lead interview process look like?
The process typically begins with a recruiter screen focused on background and role fit, followed by a hiring manager conversation about your approach to data strategy and stakeholder alignment. Later rounds usually include a case study or take-home exercise where you diagnose a data challenge and propose a roadmap, plus panel interviews with engineering leads, product managers, or executives whose teams you would support.
Where can I find and apply to data strategy lead jobs?
You can find and apply to data strategy lead jobs on Migrate Mate, which lists current openings from across the United States. Search the listings to find roles that match your background and apply directly to each one that fits.
See All 144+ Data Strategy Lead Jobs
Jump back to the full list of openings and apply to any data strategy lead role that fits.
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