Senior Product Manager – Analytics, Data Products

Posted 37ds ago

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Job Description

Product Manager at Experian leading the vision and strategy for analytics-driven data products used in lender decisioning. Collaborating with cross-functional teams to drive product innovation.

Responsibilities:

  • Lead the product vision, strategy, and roadmap for analytics-driven data products used in lender decisioning.
  • Identify opportunities to blend bureau data and third-party/vendor data into differentiated products.
  • Define product positioning, value propositions, and target use cases across underwriting, fraud, payments risk, and portfolio management.
  • Evaluate, onboard, and manage external data vendors and partners to expand coverage and improve predictive power.
  • Collaborate with Legal, Compliance, and Procurement on contracts, data rights, permissible use, and Service Level Agreements.
  • Oversee product requirements related to data quality, reliability, latency, coverage, and change management for third-party data.
  • Partner with the Analytics team to define attributes, scores, and performance metrics aligned to lender outcomes.
  • Work with Engineering to deliver scalable, production-grade data products in batch and real-time.
  • Support go-to-market teams with product documentation, enablement, and client-facing narratives.
  • Define and track product success metrics.
  • Gather feedback from lenders and our teams to refine products.
  • Manage product lifecycle from concept through launch, iteration, and eventual deprecation.

Requirements:

  • 4+ years of product management experience, ideally in data, analytics, fintech, credit, payments, or risk-related products.
  • Background in overseeing data products or platforms.
  • Experience collaborating with analytics, engineering, legal/compliance, and external partners.
  • Experience leading the development of product roadmaps, requirements, and prioritization in multifaceted environments.
  • Understanding of how lenders use data for credit, fraud, or payment decisioning.
  • Hands-on familiarity with Generative AI tools and capabilities, with the ability to apply GenAI thoughtfully to product discovery, data analysis, documentation, and workflow automation.
  • Bonus: Background working with credit bureau data, alternative data, or other data products.
  • Familiarity with payment processors.
  • Capability to manage vendor-supplied data products and data partnerships.
  • Exposure to regulated environments and concepts such as data governance, auditability, explainability, and permissible use.

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.