Senior Manager, Narrative Intelligence

We want more people to understand what makes Affirm different and choose us with confidence. To make that happen, we need a rigorous understanding of our audiences and a clear, measurable view of whether our story is resonating.

The Senior Manager, Narrative Intelligence will build the analytical intelligence function behind Affirm’s Brand & Communications strategy. You’ll connect original research, Affirm’s first-party data, brand and media measurement, behavioral signals, and external datasets to understand our audiences, identify what shapes their perceptions, and find where our story can connect more meaningfully.

You’ll turn a complex mix of data into a clear point of view that shapes Affirm’s narrative and the work we put into the world. Then you’ll close the loop: defining how we measure narrative performance, determining what is and isn’t working, and identifying what we should do differently as a result.

The ambition is to make intelligence an operating system for the work—not a report that arrives after it—and set a new standard for how Brand & Communications uses data to make decisions

What You’ll Do

• Build an evidence-based understanding of our priority audiences. Lead research and analysis into who they are, what they value, how they behave, what they believe about Affirm and the category, and what could change those beliefs. Use segmentation, surveys, behavioral data, and other analytical approaches to identify the variables that matter most.
• Develop Affirm’s narrative measurement framework. Define the metrics, methodologies, and baselines we use to evaluate narrative performance across audiences, channels, and time horizons. Partner with Analytics, User Research, Marketing, and other teams to strengthen attribution, experimentation, and our understanding of how narrative and reputation contribute to business outcomes.
• Build the team’s intelligence system. Create the tools, dashboards, analytical standards, and shared knowledge base that make audience intelligence and performance data easy to find, interpret, and apply. Help the broader team become more analytically confident over time.
• Own the narrative feedback loop. Build a continuous, data-informed picture of how Affirm’s story is landing. Diagnose what is breaking through, what is being misunderstood or ignored, where perceptions are shifting, and what the evidence suggests we should do next.
• Connect the evidence. Bring together qualitative research, surveys, brand health, media and social intelligence, search and cultural signals, campaign performance, behavioral data, and Affirm’s own customer and business data. Draw on credible external research about culture, commerce, credit, and the forces shaping how people think and behave. Find patterns, test relationships, surface contradictions, and assess the strength of the evidence.
• Turn analysis into narrative strategy. Translate findings into clear implications for Affirm’s positioning, messaging, campaigns, content, and communications planning. Partner with the Head of Story to build and evolve Affirm’s narrative based on what the data tells us.
• Design studies that answer consequential questions. Turn ambiguous business and communications questions into testable hypotheses and rigorous research. Choose the right mix of surveys, experiments, observational analysis, and qualitative inquiry to produce evidence the team can act on.

• You’re driven to understand people through data. You’re curious about the beliefs and motivations beneath human behavior and equally interested in whether the evidence supports the story being told.
• You’ve spent 12+ years in consumer analytics, audience insights, data science, measurement, strategic intelligence, quantitative research, or a related field. You’ve used analysis to shape brand, communications, marketing, product, or creative strategy.
• You’re highly fluent in quantitative research and analysis. You’re comfortable with survey design, segmentation, statistical inference, experimentation, measurement design, and large or imperfect datasets. You work directly with data, using tools such as SQL, statistical platforms, data visualization, or business intelligence tools.
• You know how to build a complete picture from different forms of evidence. You can integrate qualitative insight and quantitative analysis, account for the limits of each source, and translate concepts such as trust, relevance, reputation, and narrative resonance into thoughtful analytical frameworks.
• You turn analysis into decisions. You can take a messy body of evidence, determine which signals matter, and explain what they mean for the narrative, the work, and the choices in front of us. Your conclusions are clear, memorable, and useful to both analytical and creative audiences.
• You work well across analytical, strategic, and creative disciplines. You can collaborate credibly with data scientists and researchers, then translate the work for writers, strategists, executives, and communications leaders.
• You’d rather discover something inconvenient than confirm what everyone already believes. You test assumptions, challenge weak evidence, and follow the data—even when it complicates the current story.