Responsibilities

• Lead the Marketing Science function, managing MLS full-time employees, offshore resources, and external consultants while setting priorities, quality standards, and accountability across the team.
• Serve as a senior analytical partner to League and Club Marketing stakeholders, translating business objectives into measurable strategies, audience recommendations, test plans, and optimization opportunities.
• Lead advanced CRM and audience modeling, including segmentation and clustering, propensity, churn and lifetime value, uplift, and next-best-action frameworks to improve targeting, personalization, engagement, and conversion.
• Partner with CRM, Data Engineering, and Technology teams to operationalize model scores, segments, and fan attributes in CRM, marketing automation, and paid media workflows for League and Club activation.
• Lead the application and scaling of AI and machine learning within Marketing Science, using these capabilities to improve audience intelligence, personalization, campaign optimization, measurement, and analytical productivity across League and Club stakeholders.
• Establish and evolve the League's marketing measurement framework, using media mix modeling (MMM), attribution, incrementality, and campaign measurement to inform planning, performance, and investment allocation.
• Lead the Marketing test-and-learn agenda by prioritizing hypotheses, partnering with colleagues across Strategy & Business Intelligence on rigorous experimental design and measurement, and translating results into recommendations and future tests.
• Use campaign, CRM, media, and fan behavior data to identify in-market optimization opportunities across audiences, creative, channels, frequency, and spend.
• Develop scalable Marketing Science capabilities, playbooks, tools, and best practices that support League, Club, and SUM marketers and increase adoption of data-driven decision making.
• Partner with Product and Content teams to connect owned-platform behavior and content engagement to fan acquisition, conversion, engagement, and retention strategies.

Requirements

• Bachelor's Degree in a quantitative or marketing-related field including Computer Science, Data Science, Statistics, Economics, Marketing Analytics, or a similar domain required.
• 10+ years of experience required, including 6+ years in marketing science, marketing analytics, CRM analytics, data science, or a related quantitative discipline, with demonstrated experience leading teams and managing external or offshore resources.
• Deep expertise in marketing science, marketing effectiveness, and CRM analytics across paid, owned, and lifecycle marketing channels.
• Strong command of advanced audience and predictive modeling techniques, including segmentation and clustering, propensity modeling, churn and lifetime value forecasting, uplift modeling, and next-best-action frameworks.
• Deep understanding of media mix modeling, attribution, incrementality, causal inference, experimental design, and test-and-learn methodologies.
• Strong technical fluency and prior hands-on experience with Python, SQL, and data visualization tools such as Microsoft Power BI or Tableau.
• Experience with CRM systems and marketing automation platforms, including operationalizing predictive model outputs into audience activation and marketing workflows.
• Strong understanding of paid media, lifecycle marketing, audience strategy, campaign optimization, and marketing investment decision making.
• Proven ability to translate ambiguous business challenges into analytical approaches and communicate findings, implications, and recommendations to senior audiences.
• Demonstrated leadership managing high-performing, blended teams of full-time employees, offshore resources, consultants, and other external partners.

Preferred

• Experience in sports, media, entertainment, or another organization serving both central and local stakeholders; knowledge of soccer preferred.
• Experience evaluating and applying emerging AI capabilities, including generative AI, large language models, AI agents, or AI-enabled marketing technologies, within analytics and marketing workflows.
• Ability to work non-traditional hours, including evenings, weekends, and holidays.

Benefits

• comprehensive medical, dental, and vision coverage, a $500 wellness reimbursement, and generous Holiday and PTO schedule to promote work-life balance
• career and professional development, offering on-the-job training, feedback, and ongoing educational opportunities