Job Summary:You don't just report on performance - you decide what happens next. At PayPal, you'll own the intelligence layer of one of fintech's most ambitious marketing modernization efforts: how we understand hundreds of millions of customers, decide what to put in front of them in real time, and prove what actually drives growth. You'll turn customer data, audiences, and signals into offer decisioning, experimentation, and measurement that senior leadership uses to steer investment. This is a high-visibility seat - your scorecards and insights will be presented to the CMO and executive leadership, and your frameworks will define how PayPal measures lifecycle marketing for years to come. If you want to build the measurement backbone of a global brand - this is your moment.
Job Description:Essential 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
Minimum Qualifications:- 8+ years relevant experience and a Bachelor's degree OR Any equivalent combination of education and experience.
Additional Responsibilities & Preferred Qualifications:About the Team:You'll join the Lifecycle Transformation team, which carries a CMO-level mandate to modernize how PayPal plans, builds, and measures lifecycle marketing. You'll lead the "Understand • Decide • Measure" side of the Lifecycle Marketing Platform (LCMP) transformation, working across the Transformation Office, Data Supply Chain, MarTech, Analytics, and partners including Adobe and Publicis Sapient.
Additional Responsibilities:
- Lead the data, decisioning, and measurement workstream of the LCMP transformation, from business requirements and architecture decisions through production adoption.
- Define the 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 that underpin value realization for the program.
- 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, as foundations of effective lifecycle marketing.
- Prepare executive narratives that translate technical data and decisioning choices into business outcomes and financial impact.
Preferred Qualifications:- 10+ years of experience in marketing analytics, data strategy, decisioning, or marketing technology, with at least 3 years in a leadership or people management capacity.
- Deep hands-on experience with customer data platforms (Adobe RT-CDP / AEP, Segment, mParticle) and enterprise-scale audience and segmentation strategy.
- Experience designing and operating offer decisioning or next-best-action capabilities (e.g., Adobe Journey Optimizer Decisioning, Pega, Salesforce Einstein, or similar).
- Proven leadership of experimentation programs, including A/B and multivariate testing, holdout design, incrementality, and statistical rigor.
- Strong measurement expertise across marketing mix modeling, multi-touch attribution, incrementality testing, and mROI frameworks.
- Working knowledge of enterprise data governance, consent management, identity resolution, and privacy regulations (e.g., GDPR, CCPA).
- Fluency with SQL and modern data and BI tools (e.g., BigQuery, Tableau, Looker), with the ability to go deep with analysts, data scientists, and engineers.
- Experience applying AI/ML to personalization, propensity modeling, and real-time decisioning at scale.
- Track record of turning data into measurable business impact, such as conversion lift, efficiency gains, or budget reallocation to higher-return programs.
- Proven ability to build compelling executive narratives and present to SVP/C-suite audiences, translating analytics and architecture into business outcomes.
- Comfortable operating in matrixed organizations where influence without direct authority is essential.
- Bachelor's degree required; MBA or advanced degree in a quantitative or related field preferred.
- Experience in financial services, fintech, or payments is a strong plus.
- Background working with agile delivery methodologies and familiarity with Jira, Confluence, or similar tools for program management is expected.
Subsidiary:PayPal
Travel Percent:0
The base pay for this role will depend on where you work and the relevant experience and expertise you bring. The expected range of pay for this role by location is:
Primary Location | Pay Range:New York City, New York: ($143,500.00 - $212,850.00 Annually)
Additional Location(s) | Pay Range:No other locations are assigned to this requisition currently.
Additional compensation for this role may include an annual performance bonus, equity, or other incentive compensation, as applicable.
PayPal does not charge candidates any fees for courses, applications, resume reviews, interviews, background checks, or onboarding. When making an application directly, we will never ask you to share passwords, one-time passcodes (OTP), or verification codes. Any such request is a red flag and likely part of a scam. All communication regarding your application will come from official PayPal email domains. If you suspect fraudulent activity, please report it immediately. To learn more about how to identify and avoid recruitment fraud please visit https://careers.pypl.com/contact-us.
For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations.
Our Benefits:At PayPal, we're committed to building an equitable and inclusive global economy. And we can't do this without our most important asset-you. That's why we offer comprehensive, choice-based programs, to support all aspects of personal wellbeing-physical, emotional, and financial-delivering meaningful value where it matters most. We strive to create a flexible, balanced work culture with a holistic approach to benefits, including generous paid time off, healthcare coverage for you and your family, and resources to create financial security and support your mental health.
