Senior Lifecycle Marketing Manager | New York, NY
Own lifecycle marketing performance across patient onboarding, activation, and retention. Design experiments, leverage SQL and AI/ML capabilities, and drive measurable improvements in intake, activation, and engagement rates.
Responsibilities
- Design and execute structured A/B and multivariate tests across email, SMS, and in-app channels, building experimentation roadmaps tied to lifecycle KPIs
- Analyze funnel performance to identify gaps, diagnose segment and state-level variation, and translate findings into prioritized, data-backed improvements
- Actively test and evaluate AI-powered capabilities within the lifecycle stack including send-time optimization, predictive segmentation, dynamic content, and propensity modeling
- Partner with Data, Engineering, and Operations to integrate machine learning signals (no-show risk, churn risk, engagement propensity) into lifecycle triggers and journeys
- Own the analytical layer for lifecycle performance, building, maintaining, and evolving reporting frameworks and dashboards
- Write SQL queries and partner with Analytics and BI teams to surface actionable insights from patient behavior, funnel performance, and experiment results
- Define success metrics, ensure proper instrumentation, and hold experiments to an incrementality bar
- Diagnose state-level and segment-level performance variation
- Lead through influence across Product, Operations, Marketing Operations, Data Engineering, and Creative
- Partner with Technical Lifecycle and Marketing Operations to design, instrument, and launch experiments
- Collaborate with Creative on messaging hypotheses, bringing behavioral data and patient insights to inform content strategy
- Align with Product and Product Marketing to integrate behavioral and product signals into lifecycle programs
Requirements
- 5 to 8 or more years of experience in growth, lifecycle, or performance marketing with a track record of driving measurable outcomes
- Strong SQL proficiency and comfort operating in data warehouses; Snowflake experience preferred
- Experience designing, measuring, and iterating on structured experiments with clear understanding of incrementality
- Deep familiarity with cohort analysis, funnel diagnostics, and segment-level performance variation
- Genuine curiosity about AI and ML applications in lifecycle marketing including predictive modeling, dynamic content, propensity scoring, and intelligent automation
- Ability to test and form opinions on new tools quickly and separate real lift from noise
- Strong problem-solving skills and ability to translate complex data into clear, concise business recommendations
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