Job Description

Product Manager, Data (Credit & Alternative Data Strategy)

Join Experian's Product organization and shape the data that powers smarter decisions across the credit lifecycle. You'll lead the strategy and commercialization of data assets that fuel credit risk, decisioning, identity, and financial services solutions used by lenders worldwide. Your work will directly influence how new data becomes scalable products that inform insight, innovation, and growth.

You will work remote, or hybrid based on your proximity to an Experian office.

What you'll do:

• Define and lead the strategy for evaluating, acquiring, and expanding data assets that power Experian's products across acquisition, underwriting, account management, and collections
• Partner with Data Science, Engineering, and Analytics to transform raw data into high‑value, scalable data products used in models, scores, and decisioning solutions
• Build a long‑term data roadmap with care for Experian's product portfolio and growth strategy
• Guide commercialization by allowing product teams to create data‑driven solutions to market
• Identify new opportunities through market, and competitive insights across lending and financial services
• Collaborate across credit risk, fraud, identity, and decisioning teams to ensure data supports diverse use cases and customer segments
• Ensure data products are scalable, governed, compliant, and bring measurable commercial impact

Qualifications

Qualifications:

• Experience working with large-scale data assets, data platforms, or data-driven products within financial services, FinTech, or analytics organizations.
• Experience partnering with data science teams to develop attributes, models, or analytics products.
• Demonstrated experience defining product strategy and building roadmaps for data or analytics products that support multiple downstream use cases. Experience with data governance, data quality management, and regulatory considerations related to financial data.
• Bachelor's degree required; advanced degree in data science, analytics, finance, or related field.
• 8+ years of experience in product management, data product management, or analytics product strategy.
• Experience building business cases, evaluating investment opportunities, and increasing revenue from data-enabled products.
• Experience with credit bureau data, credit risk analytics, financial data ecosystems, or decisioning platforms.

Additional Information

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

At Experian, our people and culture set us apart. We're deeply committed to creating an environment where everyone feels they belong and can excel. From inclusion and authenticity to work/life balance, development, wellness, collaboration, and recognition, we focus on what truly matters. Our people-first approach has earned us global recognition: World's Best Workplaces™ 2024 (Fortune Top 25), Great Place To Work™ 2025 in 26 countries, and Glassdoor Best Places to Work 2024, among others.

Want to see what life at Experian is really like? Explore Experian Life on social or visit our careers site.

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. You will be also eligible for a variable pay opportunity.

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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