Director, Thought Leadership and Industry Insights
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Job Description
Director leading analytics and data storytelling strategies for Experian, a global data and technology company. Transforming data insights into market narratives that support sales and influence industry conversations.
Responsibilities:
- 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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