Experian
10,000+ employees
Founded 1996
🤖 Artificial Intelligence
🤝 B2B
☁️ SaaS
Artificial Intelligence • B2B • SaaS
Experian is a global leader in digital experience, technology, and transformation. They partner with recognized brands to enhance customer understanding, innovate product strategies, and implement agile technology solutions. With a focus on delivering superior customer experiences through AI, cloud architecture, and project management, Experian helps businesses streamline their operations and achieve their objectives effectively.
Director, Thought Leadership, Industry Insights
🕒 May 13
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Experian
10,000+ employees
Founded 1996
🤖 Artificial Intelligence
🤝 B2B
☁️ SaaS
Artificial Intelligence • B2B • SaaS
Experian is a global leader in digital experience, technology, and transformation. They partner with recognized brands to enhance customer understanding, innovate product strategies, and implement agile technology solutions. With a focus on delivering superior customer experiences through AI, cloud architecture, and project management, Experian helps businesses streamline their operations and achieve their objectives effectively.
📋 Description
• 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
🎯 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
🏖️ 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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