Job DescriptionWe are looking for a credible Senior Manager to lead our team. You will transform advanced analytics, internal data assets, and market intelligence into compelling narratives. These narratives are data-backed and support strategic sales plans, influence industry conversations, and position us as a leader in data-driven decisioning. You will work across Analytics, Product, Sales, and Marketing. You will report to the VP of Analytics Product Build, Innovation, and Scores. You will be fully remote.
- You will 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.
Qualifications- 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.
Additional InformationOur compensation reflects the cost of labor across several U.S. geographic markets. The base pay range for this position is listed above. Within this range, individual pay is determined by work location and additional factors such as job-related skills, experience, and education. This position is also eligible for a variable pay opportunity and a comprehensive benefits package.
Benefits/Perks:- 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
Explore all our exciting benefits here: https://yourexperianbenefits.com/cand-index.html
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