Lead Data Platform PM – Real-Time Risk Decisions

PayPal; Chicago (IL); Hybrid; USD 161,000 - 274,000; Full time

Benefits offered by this job

Hybrid work model

Healthcare coverage

Paid time off

Job summary

PayPal is seeking a Lead Product Manager for the Risk Decisioning Platform's data pillar. You will own strategy, roadmap, and execution for how data drives risk decisions, including data integrations, pipelines, governance, and data health.

Collaborate with engineering, data science, risk strategy, and governance teams to deliver scalable, compliant data solutions. The role requires strong technical foundation in scaled data platforms and data engineering with broad impact on fraud, credit, and

Qualifications

• 5+ years relevant experience and a Bachelor’s degree OR Any equivalent combination of education and experience.

Responsibilities

• Inputs to product strategy with cross-functional stakeholders consistent with the shared vision for the product or enabling platform.
• Implements the architectural roadmap balancing design, implementation, regulatory requirements, time-to-market, customer needs and profitability.
• Controls for the customer experience and customer needs in product requirements and as an input to decision making.
• Monitors metrics that inform the success of products including usability studies, research and market analysis.
• Manages one or more workstreams to include analytics, customer discovery, market research and competitive analysis to drive data-driven decision-making.
• Monitors product profitability measures, including budget.
• Participates in Product/Operating/Business Reviews; interfaces with product and technology leadership.
• Partners with content developers, data scientists, product designers and user experience researchers.

Skills

Data platform

Risk & fraud domain

Data governance

Agile delivery at scale

Education

Bachelor's degree

Job description

PayPal is seeking a Lead Product Manager for the Risk Decisioning Platform's data pillar. You will own strategy, roadmap, and execution for how data drives risk decisions, including data integrations, pipelines, governance, and data health.

Collaborate with engineering, data science, risk strategy, and governance teams to deliver scalable, compliant data solutions. The role requires strong technical foundation in scaled data platforms and data engineering with broad impact on fraud, credit, and