About The Position

Experian is seeking a credible Senior Manager to lead their team in transforming advanced analytics, internal data assets, and market intelligence into compelling, data-backed narratives. These narratives will support strategic sales plans, influence industry conversations, and position Experian as a leader in data-driven decisioning. The role involves collaboration across Analytics, Product, Sales, and Marketing, reporting to the VP of Analytics Product Build, Innovation, and Scores. The position is fully remote and requires managing a strategy grounded in data analysis and empirical thoughtfulness. The Senior Manager will use Python and SQL for data exploration, hypothesis validation, and insight generation. They will translate analytical findings into clear, market-facing narratives, develop industry perspectives on key topics, and support strategic sales opportunities with analytical framing and data-driven proof points. The role also includes creating executive-ready content such as industry reports, white papers, and presentations, and collaborating with Data Science teams to ensure analytical rigor. Identifying new industry trends using both qualitative and quantitative evidence, and representing Experian externally by presenting research and insights to senior client and industry audiences are also key responsibilities.

Requirements

  • 8+ years of experience in data science, analytics, credit risk, product strategy, or financial services consulting.
  • Proficiency in Python (Pandas, NumPy, SciPy, and visualization libraries) for exploratory analysis generation.
  • Advanced SQL skills for querying large datasets and validating metrics across complex data sources.
  • Experience with data-driven decisioning, analytics, and the credit lifecycle.
  • Experience interpreting model performance metrics (AUC, KS, lift, stability) and translating them into business possible effects.
  • Understanding of regulatory and compliance considerations related to data usage and analytics.
  • Experience with large-scale data platforms, credit attributes, scores, or decision engines.
  • Background in client-facing consulting, pre-sales analytics, or strategy roles.

Responsibilities

  • Transform advanced analytics, internal data assets, and market intelligence into compelling narratives.
  • Support strategic sales plans with data-backed narratives.
  • Influence industry conversations and position Experian as a leader in data-driven decisioning.
  • Manage 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.
  • Create executive-ready content, including industry reports, white papers, sales enablement decks, client POVs, and conference presentations.
  • Collaborate with Data Science teams to validate assumptions, interpret model behavior, and ensure analytical rigor in published insights.
  • Identify new industry trends using both qualitative indicators and quantitative evidence.
  • Represent Experian externally, presenting research and generating grounded insights to senior client and industry audiences.

Benefits

  • Great compensation package and bonus plan
  • Core benefits including medical, dental, vision, and matching 401K
  • Flexible time off including volunteer time off, vacation, sick and 12-paid holidays
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