Senior Manager, Marketing Mix Modeling Analytics

Marriott International is seeking a Senior Manager to support its Enterprise Data, Analytics & AI organization. The role delivers marketing mix modeling, attribution, incrementality testing, and ROI analysis, while translating complex findings into strategic recommendations and partnering with cross-functional teams to improve marketing performance.

Responsibilities:

• Partner with an external vendor and internal marketing teams to deliver Marketing Mix Modeling (MMM) insights
• Translate complex analytical findings into clear, compelling narratives and strategic recommendations tailored for senior leadership
• Design and apply causal inference methodologies (e.g., randomized controlled trials, differences in differences, synthetic controls, instrumental variables) to isolate incremental impact and inform decision-making
• Partner with data engineering, data science, and visualization teams to ensure analytics are supported by reliable, well-structured, and accessible data assets
• Stay current on industry best practices and emerging trends in marketing measurement, experimentation, and advanced analytics
• Manage multiple projects simultaneously and prioritize based on business impact
• Support development of KPI frameworks and measurement methodologies

Requirements:

• Bachelor's degree in Business, Analytics, Statistics, or related field
• Robust understanding of causal inference methodologies (i.e. RCT, differences in differences, instrumental variables)
• Hands-on knowledge of running incrementality studies (geo-based and audience-based hold-outs, synthetic controls)
• Strong familiarity with MMM validation techniques (in-market and out-of-sample model validations)
• Strong understanding of full-funnel marketing and media channels (digital, TV, retail media, paid social, search), as well as relevant measurement frameworks
• Ability to translate insights into strategic recommendations for business leaders
• advanced degree a plus
• At least 5 years of experience in advanced analytics preferred