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Experian

We're unlocking the power of data to help create a better tomorrow.

Senior Manager, Thought Leadership and Industry Insights

ManagerManagerOtherRemoteSeniorTeam 10,001+Since 1996H1B SponsorCompany SiteLinkedIn

Location

United States

Posted

114 days ago

Salary

$153.1K - $275.5K / year

Seniority

Senior

Bachelor Degree8 yrs expEnglishNumPyPandasPythonSQL

Job Description

Senior Manager, Thought Leadership and Industry Insights

Experian

• Manage our 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 us externally, presenting Experience researching and generating leads grounded insights to senior client and industry audiences.

Job 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 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

  • 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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