Senior Manager, Thought Leadership and Insights

🕒 May 13

🇺🇸 United States – Remote

💵 $153.1k - $275.5k / year

⏰ Full Time

🟠 Senior

👔 Manager

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Experian

WebsiteLinkedInAll Job Openings

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

• Lead the team in transforming advanced analytics, internal data assets, and market intelligence into compelling narratives • Work across Analytics, Product, Sales, and Marketing • Manage strategy grounded in data analysis and empirical thoughtfulness • Use Python and SQL to explore datasets, validate hypotheses, and surface insights • Translate analytical findings and model outputs into market‑facing narratives • Develop industry perspectives on credit lifecycle optimization, machine learning adoption, and regulatory trends • Support large strategic sales opportunities with analytical framing and data‑driven proof points • Create executive‑ready content including industry reports, white papers, and conference presentations • Collaborate with Data Science teams to validate assumptions and ensure analytical rigor

🎯 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 • 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

🏖️ 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