Experian
data and technology
ProductManagerLead,Data(Credit&AlternativeDataStrategy)
“Product Manager Lead, Data (Credit & Alternative Data Strategy) at Experian. Skills: Data Strategy, Product Management, Data Assets, Commercialization. Define and lead the strategy for evaluating, acquiring, and expanding data assets that power Experian's products across acquisition, underwriting, account management, and collections. Transform raw data into high‑value, scalable data products used in models, scores, and decisioning solutions”
What You'll Achieve.
increase revenue from data-enabled products; bring measurable commercial impact
Industry & Context.
What They're Looking For.
Must Have
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., 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.
What You'll Do.
Define and lead the strategy for evaluating
and expanding data assets that power Experian's products across acquisition
Transform raw data into high‑value
scalable data products used in models
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
Ensure data products are scalable
and bring measurable commercial impact
How You'll Work.
Team & Collaboration
Partner with Data Science, Engineering, and Analytics; Collaborate across credit risk, fraud, identity, and decisioning teams
Process & Methodology
building roadmaps
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