Senior Manager, Thought Leadership, Industry Insights

Experian

full-time

Posted on:

Location Type: Remote

Location: Remote • 🇺🇸 United States

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Salary

💰 $153,075 - $275,535 per year

Job Level

Senior

Tech Stack

NumpyPandasPythonSQL

About the role

  • 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.

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.
  • Experience converting technical analysis into clear insights for executive and non-technical audiences.
  • Experience supporting or influencing enterprise-level sales efforts using analytical insight.
  • 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.
Benefits
  • Flexible Time Off: 20 Days

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
PythonSQLPandasNumPySciPydata analysismachine learningdata-driven decisioningmodel performance metricscredit lifecycle
Soft skills
communicationcollaborationleadershipanalytical thinkingstorytellingpresentation skillsstrategic thinkinginsight generationquality assuranceclient engagement