Senior Manager, Lifecycle Transformation & Growth

PayPal • New York, NY

1d • $143,500 - $212,850 • Hybrid

About The Position

PayPal is hiring a Senior Manager to lead the data, decisioning, and measurement workstream of its Lifecycle Marketing Platform (LCMP) transformation. The role sits on the Lifecycle Transformation team, which has a CMO-level mandate to modernize lifecycle marketing planning, development, and measurement. The position spans business requirements and architecture decisions through production adoption, working across the Transformation Office, Data Supply Chain, MarTech, Analytics, and external partners including Adobe and Publicis Sapient.

The role defines how PayPal understands customers, determines what offers to present in real time, and measures what drives growth. It owns customer data, audience and signal strategy; offer decisioning and next-best-action; enterprise experimentation; marketing ROI and measurement; and tracking of capability gaps and program benefits. The role also ensures that data governance, consent, and identity resolution support lifecycle marketing, and that audiences and decisions activate in live journeys with measurement built into each launch.

This is a high-visibility position. The Senior Manager will present scorecards, performance insights, and executive narratives to the CMO, Head of Lifecycle Transformation, and other senior leaders, translating technical choices into business outcomes and financial impact. Insights will inform annual planning, investment shifts, and budget prioritization. PayPal's balanced hybrid model provides three days in the office and two days at either the office or home for the majority of employees. Travel is listed as 0%.

Requirements

• At least 8 years of relevant experience and a bachelor's degree, or an equivalent combination of education and experience.
• Bachelor's degree required.
• Ability to lead complex marketing initiatives, solve complex problems, establish methods for new assignments, and implement process improvements.
• Experience with marketing analytics, data strategy, decisioning, or marketing technology, including at least 3 years in a leadership or people-management capacity (preferred qualifications section).
• Hands-on experience with customer data platforms and enterprise-scale audience and segmentation strategy (preferred qualifications section).
• Experience designing and operating offer decisioning or next-best-action capabilities (preferred qualifications section).
• Experience leading experimentation programs, including A/B and multivariate testing, holdout design, incrementality, and statistical rigor (preferred qualifications section).
• Expertise in marketing mix modeling, multi-touch attribution, incrementality testing, and mROI frameworks (preferred qualifications section).
• Working knowledge of enterprise data governance, consent management, identity resolution, and privacy regulations such as GDPR and CCPA (preferred qualifications section).
• Fluency with SQL and modern data and BI tools, such as BigQuery, Tableau, and Looker, and ability to work deeply with analysts, data scientists, and engineers (preferred qualifications section).
• Experience applying AI/ML to personalization, propensity modeling, and real-time decisioning at scale (preferred qualifications section).
• Track record of using data to achieve measurable business impact, such as conversion lift, efficiency gains, or budget reallocation to higher-return programs (preferred qualifications section).
• Ability to build executive narratives and present to SVP/C-suite audiences, translating analytics and architecture into business outcomes (preferred qualifications section).
• Ability to influence without direct authority in matrixed organizations (preferred qualifications section).
• Comfort with agile delivery methodologies and familiarity with Jira, Confluence, or similar program-management tools (preferred qualifications section).

Nice To Haves

• MBA or advanced degree in a quantitative or related field.
• Experience in financial services, fintech, or payments.
• Hands-on experience with Adobe RT-CDP/AEP, Segment, or mParticle.
• Experience with Adobe Journey Optimizer Decisioning, Pega, Salesforce Einstein, or similar offer decisioning platforms.
• Experience with BigQuery, Tableau, or Looker.
• Experience applying AI/ML to personalization, propensity modeling, and real-time decisioning at scale.

Responsibilities

• Lead complex marketing projects and initiatives to drive business growth.
• Resolve complex marketing problems and develop innovative solutions.
• Determine methods and procedures for new marketing assignments.
• Implement global process improvements to enhance marketing effectiveness.
• Collaborate with senior leadership to align marketing strategies with business goals.
• Provide thought leadership and expertise in marketing best practices.
• Lead the LCMP transformation's data, decisioning, and measurement workstream from business requirements and architecture decisions through production adoption.
• Define customer data, audience, and signal strategy for lifecycle marketing across Data Supply Chain, MarTech, and Analytics, ensuring data is accurate, consented, and decision-ready.
• Own offer decisioning and next-best-action strategy, translating business rules, eligibility, and propensity models into real-time decisions across email, push, and in-app channels.
• Build and run an enterprise experimentation program, including test design standards, holdout strategy, and a cadence that turns results into roadmap and budget decisions.
• Establish the marketing ROI (mROI) and measurement framework, including incrementality, attribution, and baselines for program value realization.
• Own the capability-gap scorecard and benefits tracking, reporting transformation value against baseline to the CMO, Head of Lifecycle Transformation, and executive stakeholders.
• Ensure audiences and decisions activate cleanly in live journeys, with measurement built into every launch.
• Bring performance insight into annual planning and budget prioritization, identifying where investment should shift to maximize growth.
• Champion enterprise data governance principles, including data quality, consent management, and identity resolution.
• Prepare executive narratives translating technical data and decisioning choices into business outcomes and financial impact.

Benefits

• Generous paid time off.
• Healthcare coverage for employees and their families.
• Resources to support financial security and mental health.
• Additional compensation may include an annual performance bonus, equity, or other incentive compensation, as applicable.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior