Manager, Marketing Measurement & Optimization

About the role

The Manager, Marketing Measurement & Optimization will drive the measurement and investment agenda for PayPal Consumer Marketing, helping leaders understand what's working, where incremental opportunity exists, and how investment should evolve across markets, channels, products, and objectives. This role supports the Consumer model-to-decision cycle, partnering with Data Science, Finance, Media, Experimentation, and Marketing leaders to translate priorities into measurement questions, pressure-test outputs, and turn evidence into scenarios, trade-offs, and investment recommendations. The ideal candidate combines strong measurement expertise with commercial judgment. Rather than building every model or routine reporting, they'll ensure the right measurement approaches fit the right questions, assess whether results are fit for use, synthesize evidence across sources, and help Consumer Marketing leadership make better investment decisions.

Responsibilities

• Lead the development and execution of marketing strategies and campaigns
• Identify and recommend best practices for marketing processes and initiatives
• Analyze business trends to inform marketing decisions and strategies
• Collaborate with cross-functional teams to drive marketing projects and programs
• Monitor and evaluate the effectiveness of marketing activities
• Provide guidance and mentorship to junior marketing team members
• Support the PayPal Consumer Marketing measurement and investment agenda, helping translate business priorities and leadership questions into a clear roadmap of measurement needs, analytical priorities, and investment decisions to be supported
• Support the end-to-end application of Marketing measurement approaches, helping ensure methodologies are appropriately scoped to the business question, informed by business context, and applied to the decisions they were intended to support
• Support the business application of marketing mix modeling and related measurement capabilities, partnering with Data Science on model requirements, inputs, assumptions, validation, interpretation, and approved use cases
• Partner with Data Science to review and validate measurement outputs, helping ensure results are technically credible, commercially plausible, and fit for use before informing Marketing decisions
• Support the framing of Marketing investment scenarios and optimization questions, helping define business assumptions, constraints, required scenarios, decision criteria, and recommendations for Marketing leadership
• Help integrate multiple sources of evidence, including MMM, incrementality testing, attribution, forecasts, performance