• Manage our thought leadership strategy, grounded in data analysis and empirical thoughtfulness. • Use Python and SQL to independently explore datasets, validate hypotheses, and surface unique insights. • Translate analytical findings, model outputs, and product capabilities into clear, market-facing narratives that demonstrate value. • Develop industry perspectives on credit lifecycle optimization, alternative data, machine learning adoption, portfolio risk, fraud, and regulatory trends. • Support large strategic sales opportunities with analytical framing, benchmarks, and data-driven proof points that strengthen value propositions. • Create executive-ready content—including industry reports, white papers, sales enablement decks, client POVs, and conference presentations. • Leverage aggregated and anonymized datasets to produce market-level insights while maintaining compliance. • Collaborate with Data Science teams to validate assumptions, interpret model behavior, and ensure analytical rigor in published insights. • Work with Product to translate platform capabilities and analytical innovation into clear, market-relevant messaging. • Identify new industry trends using both qualitative indicators and quantitative evidence. • Represent us externally, presenting analytically grounded insights to senior client and industry audiences. • Establish standards and review processes to ensure quality, defensibility, and consistency across all thought leadership outputs.