Senior Manager, Analytics Narrative

About Experian

Experian is a global data and technology company, powering opportunities for people and businesses around the world. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more. Experian invests in people and new advanced technologies to unlock the power of data. We have an amazing team of 25,200 people in 32 countries.

About the Role

We 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. This position is fully remote.

Responsibilities

• Manage strategy, grounded in data analysis and empirical thoughtfulness.
• Utilize Python and SQL for independent data exploration, hypothesis validation, and insight generation.
• 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.
• 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.
• Identify new industry trends using both qualitative and quantitative evidence.
• Represent Experian externally, presenting research and 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.
• 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 impacts.
• 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 & Perks

• Great compensation package and bonus plan
• Core benefits including medical, dental, vision, and matching 401K
• Flexible work environment: remote, hybrid, or in-office options
• Flexible time off, including volunteer time off, vacation, sick days, and 12 paid holidays
• Explore all benefits: https://yourexperianbenefits.com/cand-index.html

Additional Information

Our uniqueness is that we celebrate yours. Experian’s people-first, inclusive, and purpose-driven culture is multi-award-winning; World’s Best Workplaces™ 2025 (Fortune Global Top 25), Great Place To Work™ in 26 countries, to name a few. Check out Experian Life on social or explore our Careers Site to understand why.

Our 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.

Experian is proud to be an Equal Opportunity Employer for all groups protected under applicable federal, state and local law, including protected veterans and individuals with disabilities. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.

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