Lead Product Manager, Risk Decisioning Platform – Data
About The Position
PayPal is seeking a Lead Product Manager to own the strategy, roadmap, and execution for the data pillar of its Risk Decisioning Platform. The platform supports real-time fraud, credit, and compliance decisions at global scale. The role covers how internal and external data reaches risk decisions, including vendor and identity data integrations, upstream and downstream data flows, analytical data, and data governance. The Lead Product Manager will work backwards from measurable outcomes and translate them into grounded product specifications. They will collaborate with engineering, data science, risk strategy, and governance teams to build scalable solutions, track data health, and drive legacy migration. The role also leads product reviews and steering committee updates as a subject matter expert. The position requires a strong technical foundation in scaled data platforms and data engineering, with broad impact across fraud, credit, and compliance. The role contributes to product strategy, implements architectural roadmaps, incorporates customer needs and regulatory requirements, monitors product success and profitability, manages analytical and research workstreams, and participates in operational reviews and execution mechanisms.
Requirements
- At least 5 years of relevant experience and a bachelor's degree, or an equivalent combination of education and experience.
- Strong technical foundation in scaled data platforms and data engineering.
Nice To Haves
- Experience building or managing data platform products in decisioning, risk, or real-time scoring, including data integration, pipelines, or analytical data layers.
- Experience integrating external data vendors, such as identity, bureau, or alternative-data providers, and managing upstream and downstream data flows across streaming and batch systems.
- Familiarity with data governance in regulated environments, including data contracts, quality SLAs, lineage, access controls, and privacy.
- Strong data intuition, including the ability to define and interpret data health and usage metrics, run analyses, and translate findings into product decisions.
- Experience with agile delivery at scale, including legacy pipeline migration, cross-team dependency management, and milestone-driven roadmap execution.
Responsibilities
- Contribute to product strategy with cross-functional stakeholders, consistent with the shared vision for the product or enabling platform.
- Implement an architectural roadmap that balances innovative design and technical implementation with regulatory requirements, time to market, customer needs, and product profitability.
- Incorporate customer experience and customer needs into product requirements and decision-making.
- Monitor metrics that inform product success, including usability studies, research, and market analysis.
- Manage workstreams including analytics, customer discovery, market research, and competitive analysis to support data-driven decisions.
- Monitor product profitability measures, including budget.
- Participate in Product Reviews, Operating Reviews, and Business Reviews, and interface with product and technology leadership as needed.
- Partner with content developers, data scientists, product designers, and user experience researchers.
- Own the strategy, roadmap, and execution for the Risk Decisioning Platform's data pillar.
- Collaborate with engineering, data science, risk strategy, and governance teams to build scalable solutions, track data health, and drive legacy migration.
- Lead product reviews and steering committee updates as a subject matter expert.
Benefits
- Comprehensive, choice-based programs supporting physical, emotional, and financial wellbeing.
- Generous paid time off.
- Healthcare coverage for employees and their families.
- Resources to support financial security and mental health.
- Potential annual performance bonus, equity, or other incentive compensation, as applicable.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
