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Senior Manager, Soccer Analytics & Data Science

Pay
$100,000–125,000/year · BaseAnnual period assumed — pay source
Total Rewards Major League Soccer offers a competitive starting base salary of $100,000 - $125,000, based on individual qualifications, market financials, and operational business needs. We are committed to providing a Total Rewards package that attracts, supports, engages, and retains talent. Our benefits package includes comprehensive medical, dental, and vision coverage, a $500 wellness reimbursement, and generous Holiday and PTO schedule to promote work-life balance. We also prioritize career and professional development, offering on-the-job training, feedback, and ongoing educational opportunities. We believe in the power of in-person collaboration to fuel creativity, strengthen connections, and cultivate a vibrant workplace. As a result, employees are required to work from an MLS office at least four days a week. We understand the value of balance, so employees also have the flexibility of working remotely on Fridays, along with the option to take up to two additional remote flex days each month.
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Work setting
On-site — work setting source
Major League Soccer offers a competitive starting base salary of $100,000 - $125,000, based on individual qualifications, market financials, and operational business needs. We are committed to providing a Total Rewards package that attracts, supports, engages, and retains talent. Our benefits package includes comprehensive medical, dental, and vision coverage, a $500 wellness reimbursement, and generous Holiday and PTO schedule to promote work-life balance. We also prioritize career and professional development, offering on-the-job training, feedback, and ongoing educational opportunities. We believe in the power of in-person collaboration to fuel creativity, strengthen connections, and cultivate a vibrant workplace. As a result, employees are required to work from an MLS office at least four days a week. We understand the value of balance, so employees also have the flexibility of working remotely on Fridays, along with the option to take up to two additional remote flex days each month. At Major League Soccer, we are proud to be 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.
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Employment
Not stated

What you’ll work on

Full posting
  • Lead complex analytics projects from problem definition through senior stakeholder recommendations

  • Evaluate League roster rules and their effects on performance, salaries and player movement

  • Analyze event, tracking, and roster data to assess player, club and competition performance

  • Build and report Pro Player Pathway data and insights

  • Lead the Video, Analytics and Sports Science Subcommittee

From the employer’s posting
Independently lead complex analytics and data science projects from problem definition and methodology development through analysis, interpretation, and presentation of recommendations to senior stakeholders.
Lead the evaluation of League roster rules and initiatives, assessing their impact on competitive performance, player investment, salaries, roster construction, player movement, and other relevant outcomes.
Leverage event, tracking, roster, financial, and other soccer-related data to evaluate player, club, and competition performance using advanced analytics, statistical methods, and data science techniques.
Own the development and communication of relevant Pro Player Pathway data, reporting, and insights to support League efforts to understand and strengthen player development pathways.
Lead and facilitate the Video, Analytics and Sports Science Subcommittee

What you’ll bring

All qualifications

Core experience

  • Bachelor’s degree in Sports Science, Mathematics, Statistics, Economics, Computer Science, Data Science, or a related quantitative field required.
  • Strong expertise in statistical analysis, quantitative methods, and the application of data science techniques to complex sporting or business questions.
  • Proficiency in Word, Excel, PowerPoint and Outlook
  • Strong understanding of soccer tactics, match analysis, competition structures, roster construction, player development, and the professional soccer ecosystem.
  • Ability to structure ambiguous problems, establish analytical methodologies, and drive projects from initial question through final recommendation with limited oversight.
  • Demonstrated experience working with event and tracking data, preferably within soccer.

Preferred experience

  • 7+ years of professional experience in quantitative analytics, data science, strategy, or a related analytical role; experience in soccer or professional sports strongly preferred.
  • 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.
Qualification wording
Bachelor’s degree in Sports Science, Mathematics, Statistics, Economics, Computer Science, Data Science, or a related quantitative field required.
Strong expertise in statistical analysis, quantitative methods, and the application of data science techniques to complex sporting or business questions.
Proficiency in Word, Excel, PowerPoint and Outlook
Strong understanding of soccer tactics, match analysis, competition structures, roster construction, player development, and the professional soccer ecosystem.
Ability to structure ambiguous problems, establish analytical methodologies, and drive projects from initial question through final recommendation with limited oversight.
Demonstrated experience working with event and tracking data, preferably within soccer.
7+ years of professional experience in quantitative analytics, data science, strategy, or a related analytical role; experience in soccer or professional sports strongly preferred.
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.
Education & alternatives
Qualifications - Bachelor’s degree in Sports Science, Mathematics, Statistics, Economics, Computer Science, Data Science, or a related quantitative field required. - 7+ years of professional experience in quantitative analytics, data science, strategy, or a related analytical role; experience in soccer or professional sports strongly preferred.
Apply at Major League Soccer

Posting record

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Status in our records
Live
First seen by us
Aug 28, 202669 days ago
Recorded sightings
50
Last seen by us
Nov 5, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

Lower than most similar jobs

$100K–$125K against $154K–$225K, the middle half of what similar US postings state.

From 2,958 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 69

Up longer than most. Similar jobs usually come down between day 7 and day 54.

From 7,965 similar postings that came down. Coming down is not always a hire.

Major League Soccer is hiring

2 open jobs

Open jobs by the week we first saw them, last 12 weeks.

Hiring record

See how this role fits your experience

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  • Python
  • SQL
  • Excel
  • Power BI
  • Tableau
Where the posting names them
- Proven track record of independently leading complex analytical workstreams and translating findings into actionable recommendations for senior stakeholders. - Advanced proficiency in SQL and Python. - Strong expertise in statistical analysis, quantitative methods, and the application of data science techniques to complex sporting or business questions.
- Strong soccer acumen and the ability to connect analytical findings to competition, roster construction, player development, and on-field performance. - Advanced proficiency in Excel and proficiency with a business intelligence or data visualization tool such as Power BI or Tableau, as well as PowerPoint. - Strong executive communication and presentation skills, with the ability to simplify complex concepts for technical and non-technical audiences.
- High attention to detail with the ability to multi-task and meet deadlines with minimal supervision - Proficiency in Word, Excel, PowerPoint and Outlook Desired Skills

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Complete your application on careers-mlssoccer.icims.com. The employer’s form will show what is required.

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Demand for Data Leadership roles

New Data Leadership postings at the employers we follow are up 7% over the last 5 weeks compared with the 5 before.

Weekly new Data Leadership postings at the same employers, from the week of August 17 to the week of October 26. The fewest in a week was 789, the most 1,208, and the latest week had 846.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 5 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Data Leadership, by the work the posting describes.

Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.

Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.

Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.

US government figures for computer and information systems managers

Median yearly pay, May 2025
$175,140
Expected change, 2025 to 2035
15.8% more jobsagainst 3.5% for all jobs

The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.

Job description

View original posting ↗

Overview

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.

 

The group is seeking a Senior Manager, Soccer Analytics & Data Science to lead key sporting analytics workstreams within Business Insights & Analytics and serve as a senior analytics partner to Competition, Player Relations, Medical, and other sporting departments. This individual will independently lead major analytical workstreams, shape analytical priorities, and use soccer, player, roster, and competition data to inform strategic decisions and improve the League's sporting product.

 

The ideal candidate combines strong technical and analytical capabilities with deep soccer knowledge, intellectual curiosity, and the ability to translate complex findings into clear recommendations for senior stakeholders. This individual will serve as a trusted advisor, develop innovative analytical approaches, and help advance the League's use of data and technology across the sporting ecosystem.

 

Responsibilities

  • Serve as a senior analytics partner to Competition, Player Relations, Medical, and other sporting stakeholders, shaping analytical priorities and leading data-driven recommendations on key League initiatives.
  • Independently lead complex analytics and data science projects from problem definition and methodology development 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, statistical methods, and data science techniques.
  • Lead the evaluation of League roster rules and initiatives, assessing their impact on competitive performance, player investment, salaries, roster construction, player movement, and other relevant outcomes.
  • Lead analysis of competition and rule changes and establish data-driven frameworks for tracking competitive, disciplinary, and officiating KPIs, including those related to the MLS Technical Analysis project and broader domestic and international competition benchmarking.
  • Own the development and communication of relevant Pro Player Pathway data, reporting, and insights to support League efforts to understand and strengthen player development pathways.
  • Lead and facilitate the Video, Analytics and Sports Science Subcommittee, serving as a knowledgeable custodian of League and Club interests and helping establish and advance priorities across these disciplines.
  • Partner with Medical and other sporting stakeholders to identify and analyze relevant player availability, performance, and sports science trends and translate findings into actionable insights.
  • Contribute to and help shape League policies and processes related to sporting data usage and governance, including the review and management of approved sporting technologies, third-party vendors, research initiatives, and related use cases.
  • Represent Soccer Analytics & Data Science in partnership with Emerging Ventures, leading the sporting evaluation of Innovation Lab companies and advising on potential League and Club applications.
  • Apply AI and machine learning to sporting analytics, including event, tracking and video analysis, predictive modeling, pattern identification, and automation of analytical workflows, while ensuring appropriate human oversight and data governance.
  • Communicate complex analytical findings through clear, compelling narratives and actionable recommendations, while partnering with the Technology team and colleagues across Strategy & Business Intelligence to advance the data, tools, infrastructure, and processes supporting soccer analytics.

 

Qualifications

  • Bachelor’s degree in Sports Science, Mathematics, Statistics, Economics, Computer Science, Data Science, or a related quantitative field required.
  • 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.

 

Required Skills

  • Proven track record of independently leading complex analytical workstreams and translating findings into actionable recommendations for senior stakeholders.
  • Advanced proficiency in SQL and Python.
  • Strong expertise in statistical analysis, quantitative methods, and the application of data science techniques to complex sporting or business questions.
  • Ability to structure ambiguous problems, establish analytical methodologies, and drive projects from initial question through final recommendation with limited oversight.
  • Strong soccer acumen and the ability to connect analytical findings to competition, roster construction, player development, and on-field performance.
  • Advanced proficiency in Excel and proficiency with a business intelligence or data visualization tool such as Power BI or Tableau, as well as PowerPoint.
  • Strong executive communication and presentation skills, with the ability to simplify complex concepts for technical and non-technical audiences.
  • Superior project management, organizational, and stakeholder-management skills, with the ability to manage multiple high-priority workstreams simultaneously.
  • High degree of intellectual curiosity, sound judgment, and a solutions-oriented mindset, with a demonstrated ability to develop new analytical approaches and challenge existing thinking. Strong interpersonal skills and 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 with the ability to multi-task and meet deadlines with minimal supervision
  • Proficiency in Word, Excel, PowerPoint and Outlook

 

Desired Skills

  • 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.

Total Rewards

Major League Soccer offers a competitive starting base salary of $100,000 - $125,000, based on individual qualifications, market financials, and operational business needs. We are committed to providing a Total Rewards package that attracts, supports, engages, and retains talent. Our benefits package includes comprehensive medical, dental, and vision coverage, a $500 wellness reimbursement, and generous Holiday and PTO schedule to promote work-life balance. We also prioritize career and professional development, offering on-the-job training, feedback, and ongoing educational opportunities. 

 

We believe in the power of in-person collaboration to fuel creativity, strengthen connections, and cultivate a vibrant workplace. As a result, employees are required to work from an MLS office at least four days a week. We understand the value of balance, so employees also have the flexibility of working remotely on Fridays, along with the option to take up to two additional remote flex days each month.

 

At Major League Soccer, we are proud to be 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.

 

Join our team and be part of the Major League Soccer family, where we elevate the game and inspire greatness!

 

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Pay
Total Rewards Major League Soccer offers a competitive starting base salary of $100,000 - $125,000, based on individual qualifications, market financials, and operational business needs. We are committed to providing a Total Rewards package that attracts, supports, engages, and retains talent. Our benefits package includes comprehensive medical, dental, and vision coverage, a $500 wellness reimbursement, and generous Holiday and PTO schedule to promote work-life balance. We also prioritize career and professional development, offering on-the-job training, feedback, and ongoing educational opportunities. We believe in the power of in-person collaboration to fuel creativity, strengthen connections, and cultivate a vibrant workplace. As a result, employees are required to work from an MLS office at least four days a week. We understand the value of balance, so employees also have the flexibility of working remotely on Fridays, along with the option to take up to two additional remote flex days each month.
Location & working pattern

New York, NY

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