Senior Manager, Soccer Analytics & AI Data Science

MLS League Office; New York (NY); Hybrid; USD 100,000 - 125,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

Wellness reimbursement

Holiday and PTO

Professional development

Job summary

Major League Soccer is seeking a Senior Manager, Soccer Analytics & Data Science to lead key analytics workstreams and serve as a senior partner to Competition, Player Relations, Medical, and other sporting departments.

The role combines strong technical skills in SQL, Python, and data science with deep soccer knowledge to translate findings into actionable advice for executive stakeholders. A hybrid in-office/remote schedule and competitive compensation await.

Qualifications

• Bachelor’s degree in Sports Science, Mathematics, Statistics, Economics, Computer Science, Data Science, or related quantitative field.
• 7+ years of professional experience in quantitative analytics, data science, strategy, or related analytical role; experience in soccer or professional sports preferred.
• Strong understanding of soccer tactics, match analysis, competition structures, roster construction, player development, and the professional soccer ecosystem.
• Demonstrated experience working with event and tracking data, preferably within soccer.

Responsibilities

• Serve as a senior analytics partner to Competition, Player Relations, Medical, and other sporting stakeholders, shaping analytical priorities and leading data-driven recommendations.
• Independently lead complex analytics and data science projects from problem definition through analysis, interpretation, and presentation of recommendations to senior stakeholders.
• Leverage event, tracking, roster, financial, and other soccer-related data to evaluate player, club, and competition performance using advanced analytics and data science techniques.
• Lead the evaluation of League roster rules and initiatives, assessing their impact on competitive performance, player investment, salaries, roster construction, and player movement.
• Lead analysis of competition and rule changes and establish data-driven frameworks for tracking KPIs, including MLS Technical Analysis project and broader competition benchmarking.
• Own the development and communication of Pro Player Pathway data, reporting, and insights to support League efforts to understand player development pathways.
• Lead and facilitate the Video, Analytics and Sports Science Subcommittee, aligning priorities across disciplines.
• Partner with Medical and other sporting stakeholders to identify and analyze player availability, performance, and sports science trends.

Skills

SQL

Python

Statistical analysis

Data science

Excel

Power BI

Tableau

PowerPoint

Executive communication

Project management

Soccer acumen

Stakeholder management

Education

Bachelor's degree in a quantitative field

Tools

Power BI

Tableau

Excel

Job description

Major League Soccer is seeking a Senior Manager, Soccer Analytics & Data Science to lead key analytics workstreams and serve as a senior partner to Competition, Player Relations, Medical, and other sporting departments.

The role combines strong technical skills in SQL, Python, and data science with deep soccer knowledge to translate findings into actionable advice for executive stakeholders. A hybrid in-office/remote schedule and competitive compensation await.