Responsibilities

• Define and lead the internal marketing analytics strategy and measurement roadmap, establishing AMC's point of view on how media effectiveness is measured and how the function evolves over time
• Serve as the primary analytical partner to Performance & Lifecycle Marketing across acquisition, engagement, and retention, translating complex measurement outputs into decisions, not just reports
• Conduct hands on quantitative analysis independently, querying large datasets, building original analytical frameworks, and applying advanced statistical techniques including regression modeling, cohort analysis, and significance testing
• Help drive agency relationship at the advanced analytical level, validating and evolving MMM/MTA outputs against AMC's first party subscriber data, challenging assumptions, and driving methodology improvements that ground media optimization in real subscriber outcomes
• Drive the incrementality testing agenda, designing and commissioning geo holdouts, lift studies, and experiments that validate media findings and strengthen the basis for spend decisions
• Support retention and CRM media teams with audience targeting strategy, experimental design, and measurement of churn intervention programs
• Define marketing data infrastructure requirements and partner with BI on implementation, specifying the connections between media exposure and subscriber behavior needed for accurate attribution
• Synthesize complex analytics into clear executive ready storylines and recommendations delivered both verbally and visually to senior leadership

Requirements

• 10+ years of experience in marketing analytics, marketing science or media measurement, with direct experience in subscription or direct-to-consumer media preferred
• Deep expertise in marketing measurement methodologies, including Marketing Mix Modeling (MMM), Multi-touch Attribution (MTA), incrementality testing, experimental design and causal inference
• Hands-on experience designing incrementality tests (including geo holdouts, lift studies, and matched market experiments)
• Proficiency with SQL, Python
• Familiarity with Meridian or comparable Bayesian MMM frameworks
• Substantial experience working with big data infrastructure
• Knowledge of data science techniques, machine learning a plus
• Proven self-starter who is willing to jump right in
• Excellent communication skills and executive presence - expert at translating complex technical insights into digestible takeaways for business executives
• Proven track record leading or mentoring analytics professionals
• Strong interpersonal skills - collaborative, curious, and able to influence across functions
• Ability to thrive in a fast-paced environment and manage multiple priorities under tight deadlines
• Relevant degree preferred - Analytics, Data Science, Statistics, Economics, Marketing, or related field

Benefits

• Comprehensive benefits package including health, dental, vision, prescription drug coverage, 401k plan, wellness program, life insurance, tuition reimbursement, paid time off, and parental leave
• Flexibility to work from home one day per week