Director, Thought Leadership and Industry Insights

ExperianMadison, MS
Remote

About The Position

Experian is seeking a credible Director 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 departments. The Director will report to the VP of Analytics Product Build, Innovation, and Scores and will be a fully remote position.

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, 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 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.
  • 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 leads grounded in 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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