Manager, B2B Marketing Measurement & Effectiveness

Job Summary:

The Manager, B2B Marketing Measurement & Effectiveness will support Pay Pal's B2B Marketing measurement and investment capability, helping leadership understand how effectively Marketing is contributing to business outcomes, where opportunities exist, and how investment should evolve. This role partners closely with B2B Marketing, Data Science, Finance, and cross‑functional partners to support a fit‑for‑purpose measurement strategy, helping define key questions, identify data gaps, support the right analytical approaches, and translate evidence into clear business and investment recommendations.

The ideal candidate brings strong B2B marketing measurement experience and solid analytical judgment, including in environments where data is still maturing. This person won't build every model personally; instead, they'll help determine what Marketing needs to learn, ensure the right analytical approach is used, and support leadership in acting confidently even when evidence is imperfect.

• 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

• 5+ years relevant experience and a Bachelor’s degree OR Any equivalent combination of education and experience.

• Support the B2B Marketing measurement and effectiveness strategy, helping translate Marketing and business priorities into a clear roadmap of measurement questions, analytical needs, capability gaps, and investment decisions to be supported.
• Help build a fit‑for‑purpose B2B Marketing measurement framework that connects Marketing activity to relevant customer, merchant, funnel, pipeline, revenue, and commercial outcomes based on the Marketing motion and business objective.
• Support clear measurement priorities and maturity goals, helping determine what Pay Pal can credibly measure today, where important evidence gaps remain, and which capabilities should be developed first to improve Marketing decision‑making.
• Translate B2B Marketing questions into analytical requirements, partnering with Data Science to help determine the appropriate methodology, data, assumptions, outputs, and interpretation required for the decision being supported.
• Apply fit‑for‑purpose measurement judgment across methods, including experimentation, incrementality, attribution, customer or account‑level analysis, funnel and commercial‑outcome analytics, cohort analysis, econometric approaches, and other methods as appropriate.
• Help integrate multiple sources of evidence into a coherent view of B2B Marketing effectiveness, clearly distinguishing what is known, what remains uncertain, and which conclusions are sufficiently supported to inform a decision.
• Contribute analytically sound recommendations when data or measurement are incomplete, making assumptions and limitations explicit while helping Marketing leadership move forward with the best available evidence.
• Help build and maintain a prioritized B2B Marketing learning agenda, helping identify the highest‑value questions that require stronger evidence and partnering with Experimentation, Data Science, and other teams to close those gaps over time.
• Support the framing of B2B Marketing investment scenarios and trade‑offs, helping translate measurement findings into clear recommendations on where Marketing should increase, decrease, or shift investment across markets,…