Lead Data Platform Product Manager, Risk & Compliance

PayPal, Inc.; Austin (TX); Hybrid; USD 161,000 - 262,000; Full time

Benefits offered by this job

Hybrid work model

Healthcare coverage

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 internal and external data reach risk decisions including data integrations, data flows, analytics, and governance.

Collaborate with engineering, data science, risk strategy, and governance to build scalable solutions and migrate legacy systems. The ideal candidate has a strong technical foundation in scaled data platforms and data engineering with broad

Qualifications

• 5+ years relevant experience and a Bachelor’s degree OR Any equivalent combination of education and experience.
• Experience building or managing data platform products in the decisioning, risk, or real-time scoring space.
• Experience integrating external data vendors and managing upstream and downstream data flows.

Responsibilities

• Inputs to product strategy with cross-functional stakeholders consistent with the shared vision for the product or enabling platform.
• Implements the architectural roadmap that balances innovative design and technical implementation, while balancing regulatory requirements, time-to-market, meeting customer needs and product profitability.
• Monitors metrics that inform the success of products including usability studies, research and market analysis.
• Partners with content developers, data scientists, product designers and user experience researchers.

Skills

Data pillar strategy

Data integration

Data pipelines

Agile delivery

Data governance

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 internal and external data reach risk decisions including data integrations, data flows, analytics, and governance.

Collaborate with engineering, data science, risk strategy, and governance to build scalable solutions and migrate legacy systems. The ideal candidate has a strong technical foundation in scaled data platforms and data engineering with broad