{"id":170898,"url":"https://alion.io/job/mlssoccer-senior-manager-soccer-analytics-data-science","title":"Senior Manager, Soccer Analytics & Data Science","company":{"id":20301,"name":"mlssoccer","domain":"mlssoccer.com","url":"https://alion.io/company/mlssoccer","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"iCIMS","truth_index":null},"role":"Analytics","role_family":"Analytics","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["New York, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":100000,"max":125000,"currency":"USD","period":"year","gross":null,"usd_annual":125000},"salary_estimate":null,"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false},{"name":"Outlook","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false},{"name":"Computer Vision","optional":true}],"status":"live","first_seen_at":"2026-08-29T23:38:12Z","employer_posted_date":"2026-09-19","last_verified_at":"2026-10-31T14:11:47Z","board_verified":true,"closed_at":null,"days_open":62,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":62},"description":"Overview\nMajor 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.\nThe 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.\nThe 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.\nResponsibilities\nServe 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.\nIndependently lead complex analytics and data science projects from problem definition and methodology development through analysis, interpretation, and presentation of recommendations to senior stakeholders.\nLeverage 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.\nLead 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.\nLead 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.\nOwn the development and communication of relevant Pro Player Pathway data, reporting, and insights to support League efforts to understand and strengthen player development pathways.\nLead 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.\nPartner with Medical and other sporting stakeholders to identify and analyze relevant player availability, performance, and sports science trends and translate findings into actionable insights.\nContribute 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.\nRepresent 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.\nApply 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.\nCommunicate 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.\nQualifications\nBachelor’s degree in Sports Science, Mathematics, Statistics, Economics, Computer Science, Data Science, or a related quantitative field required.\n7+ years of professional experience in quantitative analytics, data science, strategy, or a related analytical role; experience in soccer or professional sports strongly preferred.\nStrong understanding of soccer tactics, match analysis, competition structures, roster construction, player development, and the professional soccer ecosystem.\nDemonstrated experience working with event and tracking data, preferably within soccer.\nRequired Skills\nProven track record of independently leading complex analytical workstreams and translating findings into actionable recommendations for senior stakeholders.\nAdvanced proficiency in SQL and Python.\nStrong expertise in statistical analysis, quantitative methods, and the application of data science techniques to complex sporting or business questions.\nAbility to structure ambiguous problems, establish analytical methodologies, and drive projects from initial question through final recommendation with limited oversight.\nStrong soccer acumen and the ability to connect analytical findings to competition, roster construction, player development, and on-field performance.\nAdvanced proficiency in Excel and proficiency with a business intelligence or data visualization tool such as Power BI or Tableau, as well as PowerPoint.\nStrong executive communication and presentation skills, with the ability to simplify complex concepts for technical and non-technical audiences.\nSuperior project management, organizational, and stakeholder-management skills, with the ability to manage multiple high-priority workstreams simultaneously.\nHigh 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.\nDemonstrated decision making and problem-solving skills\nHigh attention to detail with the ability to multi-task and meet deadlines with minimal supervision\nProficiency in Word, Excel, PowerPoint and Outlook\nDesired Skills\nExperience working in professional soccer, sports analytics, a club, league, federation, or other high-performance sports environment.\nExperience with competition analysis, player evaluation, roster modeling, player valuation, or player development.\nExperience evaluating the impact of policy, rule, or competition changes using statistical or causal inference methodologies.\nExperience with emerging AI applications in sports, including machine learning, computer vision/video analytics, generative AI, or AI-enabled sporting technologies.\nTotal Rewards\nMajor 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.\nWe 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.\nAt 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.\nWe 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.\nJoin our team and be part of the Major League Soccer family, where we elevate the game and inspire greatness!","description_format":"text","description_chars":8599,"description_truncated":false,"requirements":{"experience_years_min":7,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Professional development"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Sports Media","Sports Organizations"],"lifecycle":[{"event":"open","at":"2026-08-30T00:01:12Z"}],"visa":[],"liveness":{"score":17,"band":"cold","label":"Long shot","p_open":1,"p_active":0.599,"p_room":0.28,"age_days":62,"expected_fill_days":23,"reasons":["conf:3","win:tail","crowd:"],"computed_at":"2026-10-31T05:58:55Z"},"pay":{"stated_usd_annual":125000,"is_top_pay":true},"html_url":"https://alion.io/job/mlssoccer-senior-manager-soccer-analytics-data-science","json_url":"https://alion.io/job/mlssoccer-senior-manager-soccer-analytics-data-science.json","meta":{"generated_at":"2026-10-31T16:33:51Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":25897,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-01T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":20301},"rest":"https://alion.io/mcp/rest/get_company?id=20301"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fmlssoccer-senior-manager-soccer-analytics-data-science"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fmlssoccer-senior-manager-soccer-analytics-data-science"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fmlssoccer-senior-manager-soccer-analytics-data-science"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/mlssoccer-senior-manager-soccer-analytics-data-science\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fmlssoccer-senior-manager-soccer-analytics-data-science"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":170898}},{"tool":"search_jobs","arguments":{"company":"mlssoccer.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":170898},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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