Lifecycle Marketing Manager; Hybrid from NY

* This is a hybrid role with three weeks per month onsite (Mon.

- Thurs.). The fourth week is fully remote. The Lifecycle Marketing Manager is responsible for defining, executing, and optimizing data‑driven lifecycle strategies that grow customer lifetime value (LTV), improve repeat purchase rates, reduce order latency, and proactively prevent churn. You will architect the customer journey across acquisition, onboarding, activation, engagement, retention, and reactivation touchpoints—ensuring every message and moment increases customer value and strengthens long‑term loyalty.

This role blends strategic vision with hands‑on execution. You’ll partner closely with cross‑functional teams across Merchandising, Analytics, Creative, E‑commerce, Retail, and IT to scale personalized, insight‑driven programs that influence core customer health metrics and fuel sustainable revenue growth.

• Develop lifecycle strategies explicitly designed to maximize LTV by increasing purchase frequency, improving replenishment and repeat behaviors, and deepening loyalty.
• Build programs that reduce time between purchases, accelerate customers into their next best action, and encourage progression along maturity and value tiers.
• Identify customer segments at risk of churn and implement early‑warning, preventative interventions rooted in behavioral triggers and predictive modeling.

• Lead the roadmap for journeys across the customer lifecycle—from activation to long‑term retention—with a focus on driving measurable improvements in:
  • Repeat purchase rate
  • Time between orders (latency)
  • Churn rate and reactivation lift
  • Incremental revenue and margin contribution
• Close experience gaps using insights, testing, and feedback loops to ensure journeys are purpose‑built to influence key value metrics.

• Partner with analytics and data science to refine segmentation, propensity models, and predictive triggers that enable individualized communications.
• Deploy personalization frameworks that identify the right message, offer, product recommendation, and timing to increase repeat behavior and long‑term value.
• Build a robust experimentation roadmap focused on driving improvements in customer value KPIs.
• Test and optimize:
  • Incentive structures targeted at improving repeat purchases
  • Cadence strategies designed to reduce latency
  • Win‑back tactics for early‑stage and at‑risk churn cohorts
  • Lifecycle content designed to deepen engagement
• Translate results into actionable insights and scaled initiatives.

• Build a robust experimentation roadmap focused on driving improvements in customer value KPIs.
• Test and optimize:
  • Incentive structures targeted at improving repeat purchases
  • Cadence strategies designed to reduce latency
  • Win‑back tactics for early‑stage and at‑risk churn cohorts
  • Lifecycle content designed to deepen engagement
• Translate results into actionable insights and scaled initiatives.

• Partner closely with the Customer Insights team to define reporting needs, measurement frameworks, and KPI structures tied to lifecycle performance—including LTV, repeat purchase rate, order latency, churn, and incremental revenue.
• Collaborate with Insights on the development of dashboards, automated reports, and analytics views that provide visibility into customer behavior and lifecycle program impact.
• Interpret performance data, diagnose drivers of customer value, and translate Insights‑built reporting into actionable strategies and clear storytelling for cross‑functional partners and senior leadership.
• Develop hypotheses based on data trends and partner with Insights to validate findings, quantify opportunities, and model long‑term customer value impact.
• Ensure all lifecycle reporting aligns to business goals, supports experimentation, and enables continuous optimization of journeys, segmentation, and personalization strategies.

• Partner closely with Brand Marketing,…