About The Position

Experian is seeking a credible Director to lead their Thought Leadership and Industry Insights team. This role involves 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 establish Experian as a leader in data-driven decisioning. The Director will collaborate across Analytics, Product, Sales, and Marketing departments. The position reports to the VP of Analytics Product Build, Innovation, and Scores and is fully remote.

Requirements

  • 10+ 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.
  • Experience in leadership and market analytics enablement roles.
  • Familiarity with machine learning concepts and their application in decisioning systems.
  • 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.
  • Experience speaking at conferences or industry forums.

Responsibilities

  • Manage strategy grounded in data analysis and empirical thoughtfulness.
  • Use Python and SQL to 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 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 work environment, ability to work remote, hybrid or in-office
  • Flexible time off including volunteer time off, vacation, sick and 12-paid holidays
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