PayPal
Senior Manager, Lifecycle Transformation & Growth
$144K–$213K
New York City, New York, United States of America · Manager · Full-time · Posted Oct 16, 2026
- Experience
- 8+ years relevant experience; minimum qualification allows an equivalent combination of education and experience. Preferred: 10+ years in relevant fields, including at least 3 years in leadership or people management.
- Education
- Bachelor’s degree required; minimum qualifications also allow an equivalent combination of education and experience. MBA or advanced degree in a quantitative or related field preferred.
About the job
Leads the data, decisioning, experimentation, and measurement workstream of PayPal’s lifecycle marketing transformation to improve growth and guide investment.
What you'll do
- Define customer data, audience, and signal strategy; translate business rules and models into real-time offer decisions across email, push, and in-app channels.
- Build enterprise experimentation and marketing ROI measurement frameworks, and track transformation benefits against baselines.
- Use performance insights to inform planning and budgets, ensure data governance and journey activation, and present findings to executive leaders.
What they ask for
- 8+ years of relevant experience and a Bachelor’s degree, or an equivalent combination of education and experience.
- Bachelor’s degree required.
- Agile delivery experience and familiarity with Jira, Confluence, or similar program-management tools expected.
Nice to have
- 10+ years in marketing analytics, data strategy, decisioning, or marketing technology, including at least 3 years in leadership or people management.
- Experience with customer data platforms, offer decisioning, experimentation, marketing measurement, data governance, SQL/BI tools, and applying AI/ML to personalization or real-time decisioning.
Pay
USD 143,500.00 - 212,850.00 annually (base salary)
Tools
Adobe RT-CDP / AEP, Segment, mParticle, Adobe Journey Optimizer Decisioning, Pega, Salesforce Einstein, SQL, BigQuery
AI focus
Apply AI/ML to personalization, propensity modeling, and real-time decisioning at scale.
Model-written summary · the original posting is authoritative