Manager, International Baseball Strategy and Information
Los Angeles, CAFull-time$120–135K/yrPosted 1 day agoStill listed today
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Job overview
The Los Angeles Dodgers’ Baseball Strategy and Information team supports coaches, baseball operations leadership, and other stakeholders with data for strategic decisions. This new manager role focuses on strengthening international scouting data and tools, developing analytical resources for non-technical users, and contributing to valuation and projection models. The role works across scouting, analytics, and data engineering/IT.
Skills & qualifications
Skills
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Full job description
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]: Manager, International Baseball Strategy and InformationDepartment: Baseball Strategy & InformationStatus: Full-Time/Non-UnionPay Rate: $120,000 - $135,000FLSA: ExemptReports to: Director, Baseball Strategy and Information/Vice President, Player PersonnelLocation: Los Angeles, CaliforniaPosting Date: September 15, 2026Job SummaryThe 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 FoundationTake 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 usedEstablish 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 closingAnalytical ToolsBuild tools that let scouts, coordinators, and analysts explore historical trends by combinations of country, league, position, age, and signing bonusMake this self-serve for non-technical stakeholders, not locked in a notebook only you can runUse your own judgment on where analytical effort is best spent, and bring recommendations rather than waiting to be assigned a specific questionValuation & ProjectionOnce 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-DayWrite code daily — SQL for data work, Python/R for analysis, some blend of manual coding and AI-assisted developmentWork closely with international scouts, analysts, and data engineering/ITTranslate ambiguous baseball questions ("what's the track record of X archetype") into data pipelines and analysisPresent findings to non-technical stakeholders (scouts, coordinators) in usable formBasic Requirements/Qualifications:EducationB.A. or B.S. in mathematics, economics, statistics, computer science, data science, operations research, or a related quantitative-field.Work Experience3-5+ years of experience working with messy, multi-source data — sports/scouting data experience is a plus but not required if the underlying skill set transfersStrong track record of writing production-quality SQL and Python or R; real experience with data pipelines or ETLExperience distilling complex analyses into compelling, executive-level narratives and visualizationsA demonstrated history of identifying problems and proposing solutions without being asked — this role rewards initiative, not just executionA 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 involvedA. 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 peopleAbility to spend extended time in Los Angeles for onboarding, if not able to relocateAbility 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 NOWLOS 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] Opportunity EmployerThis employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.
How this job compares
Set against the 2,410 open Data Analytics jobs on Olive Jobs, counted November 8, 2026.
- Pay
- This posting$120–135K/yr
- California median$120–196K/yr126 salary ranges
- US median$118–188K/yr1,661 salary ranges
This range's midpoint, $128K, is 22% below the California median midpoint ($165K) — in the lowest quarter of Data Analytics salary ranges in California.
- Openings
- Olive Jobs lists 180 open Data Analytics jobs in California and 2,410 across the US. 7% of them nationwide are listed as remote or flexible.
- Hiring the most in California
- Deloitte22 open
- Kaiser Permanente11 open
- Anduril9 open
- Experience
- This posting asks for at least 3 years of experience — less than three in four Data Analytics postings that state a minimum ask for (median 5 years, across 1,889 postings).
- Education
- This posting asks for a bachelor's degree; 1,116 of the 2,410 open Data Analytics jobs (46%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on November 8, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
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