About the Role
Major League Soccer's Business Insights & Analytics team seeks a Senior Manager, Soccer Analytics & Data Science to lead sporting analytics workstreams and partner with sporting departments. This role uses soccer data to inform strategic decisions and improve the League's sporting product, requiring a blend of technical skills, soccer knowledge, and communication abilities.
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 to presentation of recommendations.
- Leverage event, tracking, roster, financial, and other soccer-related data to evaluate performance using advanced analytics and data science techniques.
- Lead the evaluation of League roster rules and initiatives, assessing their impact on competitive performance and other outcomes.
- Lead analysis of competition and rule changes and establish data-driven frameworks for tracking KPIs.
- Own the development and communication of Pro Player Pathway data, reporting, and insights.
- Lead and facilitate the Video, Analytics and Sports Science Subcommittee.
- Partner with Medical and other sporting stakeholders to identify and analyze player availability, performance, and sports science trends.
- Contribute to and help shape League policies and processes related to sporting data usage and governance.
- Represent Soccer Analytics & Data Science in partnership with Emerging Ventures, leading the sporting evaluation of Innovation Lab companies.
- Apply AI and machine learning to sporting analytics, including predictive modeling and automation.
- Communicate complex analytical findings through clear, compelling narratives and actionable recommendations.
- Partner with the Technology team and colleagues to advance data, tools, infrastructure, and processes supporting soccer analytics.
Requirements
- Bachelor’s degree in Sports Science, Mathematics, Statistics, Economics, Computer Science, Data Science, or a related quantitative field.
- 7+ years of professional experience in quantitative analytics, data science, strategy, or a related analytical role.
- Experience in soccer or professional sports strongly 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.
Skills
- Proven track record of independently leading complex analytical workstreams and translating findings into actionable recommendations.
- Advanced proficiency in SQL and Python.
- Strong expertise in statistical analysis, quantitative methods, and data science techniques.
- Ability to structure ambiguous problems, establish analytical methodologies, and drive projects with limited oversight.
- Strong soccer acumen and ability to connect analytical findings to competition and performance.
- Advanced proficiency in Excel.
- Proficiency with a business intelligence or data visualization tool such as Power BI or Tableau.
- Proficiency with PowerPoint.
- Strong executive communication and presentation skills.
- Superior project management, organizational, and stakeholder-management skills.
- Ability to manage multiple high-priority workstreams simultaneously.
- High degree of intellectual curiosity, sound judgment, and a solutions-oriented mindset.
- Ability to develop new analytical approaches and challenge existing thinking.
- Strong interpersonal skills.
- Ability to effectively communicate to a wide range of audiences, both written and verbally.
- Demonstrated decision making and problem-solving skills.
- High attention to detail.
- Ability to multi-task and meet deadlines with minimal supervision.
- Proficiency in Word, Excel, PowerPoint and Outlook.
- Experience working in professional soccer, sports analytics, a club, league, federation, or other high-performance sports environment.
- Experience with competition analysis, player evaluation, roster modeling, player valuation, or player development.
- Experience evaluating the impact of policy, rule, or competition changes using statistical or causal inference methodologies.
- Experience with emerging AI applications in sports, including machine learning, computer vision/video analytics, generative AI, or AI-enabled sporting technologies.
Location
- MLS office
Work Type
- Hybrid
- Full-time
Experience Level
- Senior Manager
- 7+ years of professional experience
Education Level
- Bachelor’s degree in Sports Science, Mathematics, Statistics, Economics, Computer Science, Data Science, or a related quantitative field
Salary/Compensations
- $100,000 - $125,000
Benefits
- Comprehensive medical, dental, and vision coverage
- $500 wellness reimbursement
- Generous Holiday and PTO schedule
- On-the-job training
- Feedback
- Ongoing educational opportunities
About the Company
- Major League Soccer's Business Insights & Analytics team is a centralized analytics function within Strategy & Business Intelligence, supporting League and Club decision-making through reporting, advanced analytics, data science, and actionable recommendations.
- Join our team and be part of the Major League Soccer family, where we elevate the game and inspire greatness!
Equal Opportunity
- Major League Soccer is an equal opportunity employer. We value diversity and inclusion and believe that a diverse workforce enhances our ability to compete in the marketplace.
- We are committed to providing equal employment opportunities to all individuals regardless of race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law.
- We are dedicated to ensuring that individuals with disabilities are provided reasonable accommodation throughout the job application or interview process, essential job functions, and other benefits and privileges of employment. If you require accommodation, please contact us to request it.
