Manager, International Baseball Strategy and Information

The Los Angeles Dodgers currently have a job opportunity for Manager, International Baseball Strategy and Information. Following you will find a brief description of the job and application process. For additional information, please contact [email protected].

Title: Manager, International Baseball Strategy and Information

Department: Baseball Strategy & Information

Status: Full-Time/Non-Union

Pay Rate: $120,000 - $135,000

FLSA: Exempt

Reports to: Director, Baseball Strategy and Information/Vice President, Player Personnel

Location: Los Angeles, California

Posting Date: September 15, 2026

Job Summary

The Baseball Strategy and Information team of the Los Angeles Dodgers is responsible for supporting Major League Coaches, Baseball Operations Leadership, and multiple other key stakeholders with data and information needed for strategic decision making.

As a Manager, you will take on a brand-new role focused on advancing the statistical rigor and tooling we bring to International Scouting. The ideal candidate will have some experience working with multi-source data, will help us evaluate what priorities should be and what to build next, and will work collaboratively across departments to create tools and reports.

Essential Duties/Responsibilities:

Data Foundation

• Take ownership of understanding what international scouting data we have — across every vendor, internal system, and tool — and determine what's trustworthy, what's missing, and what's not being used

• Establish what "data quality" should mean for this function and build the validation processes to get us there, leveraging existing tools when appropriate.

• Identify and propose new data sources (vendors, scraping, or otherwise) where you see gaps worth closing

Analytical Tools

• Build tools that let scouts, coordinators, and analysts explore historical trends by combinations of country, league, position, age, and signing bonus

• Make this self-serve for non-technical stakeholders, not locked in a notebook only you can run

• Use your own judgment on where analytical effort is best spent, and bring recommendations rather than waiting to be assigned a specific question

Valuation & Projection

• Once the data foundation is solid, lead or significantly contribute to building broader valuation and projection models for international players. This includes but isn’t limited to advancing our understanding league translations, bonus pool allocation strategies, and leveraging biomechanical data into our evaluations and projections.

Day-to-Day

• Write code daily — SQL for data work, Python/R for analysis, some blend of manual coding and AI-assisted development

• Work closely with international scouts, analysts, and data engineering/IT

• Translate ambiguous baseball questions ("what's the track record of X archetype") into data pipelines and analysis

• Present findings to non-technical stakeholders (scouts, coordinators) in usable form

Basic Requirements/Qualifications:

Education

• B.A. or B.S. in mathematics, economics, statistics, computer science, data science, operations research, or a related quantitative-field.

Work Experience

• 3-5+ years of experience working with messy, multi-source data — sports/scouting data experience is a plus but not required if the underlying skill set transfers

• Strong track record of writing production-quality SQL and Python or R; real experience with data pipelines or ETL

• Experience distilling complex analyses into compelling, executive-level narratives and visualizations

• A demonstrated history of identifying problems and proposing solutions without being asked — this role rewards initiative, not just execution

• A solid understanding of baseball and international markets — you don't need scouting/evaluation ability, but you should have some knowledge of signing dynamics and the leagues/markets involved

• A. or B.S. in mathematics, economics, statistics, computer science, data science, operations research, or a related quantitative-field.

• Able to communicate technical findings and recommendations to non-technical baseball people

• Ability to spend extended time in Los Angeles for onboarding, if not able to relocate

• Ability to work a varied schedule including evenings, weekends, and holidays.

• Nice to have: fluency in Spanish or Japanese; prior work with geographically distributed / multi-source data; experience with cloud data infra (AWS S3/RDS/Lambda) or BI/dashboard tools.

Current Los Angeles Dodgers employees should apply via the internal job board in UltiPro by following these prompts:

MENU > MYSELF > MY COMPANY > VIEW OPPORTUNITIES > select the position > CONSENT > APPLY NOW

LOS ANGELES DODGERS LLC is an equal opportunity employer.

LOS ANGELES DODGERS LLC is firmly committed to providing equal opportunity for all qualified applicants from every race, creed, and background. LOS ANGELES DODGERS LLC is also firmly committed to complying with all applicable laws and governmental regulations at the state and local levels which prohibit discrimination.

LOS ANGELES DODGERS LLC considers all applicants without regard to national origin, race, color, religion, age, sex, sexual orientation, disability, military status, citizenship status, pregnancy or related medical conditions, marital status, ancestry-ethnicity, or any other characteristic protected by applicable state or federal civil rights law. The Immigration Reform and Control Act requires that LOS ANGELES DODGERS LLC obtain documentation from every individual who is employed, which verifies their identity and authorizes their right to work in the United States.

LOS ANGELES DODGERS LLC is committed to the full inclusion of all qualified individuals. As part of this commitment, LOS ANGELES DODGERS LLC will ensure that persons with disabilities are provided reasonable accommodations for the hiring process. If reasonable accommodation is needed, please contact [email protected].

Equal Opportunity Employer
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About Los Angeles Dodgers

The Los Angeles Dodgers organization is built upon tradition, history and a strong foundation of effective teamwork.

We have claimed eight championship titles and 25 pennants since joining the National League in 1890, and our commitment to excellence extends beyond the field. In 2020, we were recognized as ESPN’s Sports Humanitarian Team of the Year.

After 74 years in Brooklyn, including the historic 1947 season in which Jackie Robinson broke Major League Baseball’s color barrier, we moved to Los Angeles in 1958. Our fans continue setting us apart, creating an environment unlike any other in sports. Since our transition to the West Coast, we have led the National League in attendance 35 times. In 1978, we became the first Major League team to attract more than 3 million fans. Since 1901, we have the highest cumulative attendance of any professional sports team. Dodger Stadium has drawn the highest MLB attendance every year since 2013.

Bachelor’s degree in mathematics, economics, statistics, computer science, data science, operations research, or a related quantitative field.
3–5+ years of experience working with messy, multi-source data.
Production-quality SQL and Python or R skills, plus hands-on experience with data pipelines or ETL.
Ability to turn complex analysis into clear executive-level narratives and visualizations.
Demonstrated initiative in identifying problems and proposing solutions.
Solid understanding of baseball and international markets, including signing dynamics and the relevant leagues.
Ability to communicate technical findings to nontechnical baseball stakeholders.
Ability to spend extended time in Los Angeles for onboarding if not relocating, and to work evenings, weekends, and holidays as needed.

Sports or scouting data experience is a plus.
Fluency in Spanish or Japanese; experience with geographically distributed datasets; and experience with AWS S3, RDS, Lambda, or BI/dashboard tools are preferred.