Senior Manager, Marketing Mix Modeling Analytics

Marriott•Bethesda, MD

1d•Hybrid

About The Position

The Senior Manager, Marketing Measurement Analytics (MMM) is a key contributor within Marriott’s Enterprise Data, Analytics & AI organization, responsible for delivering insights that optimize marketing performance and inform strategic decision-making. This role focuses on analytics initiatives like marketing mix modeling, attribution, incrementality testing, and ROI analysis—enabling strategic data-driven decisions that improve engagement and maximize return on investment. Working closely with marketing leaders and cross-functional teams, the Senior Manager conducts targeted analyses, interprets complex data, and translates findings into clear, actionable recommendations. By leveraging curated data assets and advanced analytics techniques, this position ensures marketing strategies are grounded in robust insights and aligned with enterprise priorities. The Senior Manager combines strong analytical expertise with business acumen and exceptional communication skills to influence decisions and drive measurable impact—helping Marriott maximize marketing performance and return on investment.

Requirements

Bachelor’s degree in Business, Analytics, Statistics, or related field; advanced degree a plus.
At least 5 years of experience in advanced analytics preferred.
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.

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.