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paypal

Lead Product Manager – Data and Data Analytics

AI 요약

PayPal에서 AI Decisioning Platform의 Product Manager를 채용합니다. 이 직무는 데이터 및 데이터 분석에 중점을 두고 PayPal의 핵심 의사 결정 스택의 전략, 실행 및 발전을 주도합니다. 데이터 생태계를 재구상하고 엔지니어링 및 도메인 이해 관계자와 협력하여 의사 결정 속도를 높이고 성능을 개선하며 플랫폼 전반의 혁신을 가능하게 하는 중요한 역할입니다.

주요 업무

Define and drive the next generation data platform required to support the growing needs of PayPal. Own the investment and roadmap for the data platform to meet the needs of our AI Decisioning stack. Build the platform with product development and architecture. Maintain and support the platform, ensuring definition and ongoing monitoring of Platform KPIs. Be in our users’ shoes and gain a deep understanding of customer experiences and preferences and funnel the requirements to build a scalable infrastructure. Create use cases and product requirement documents to articulate desired service features and functionality to the user experience and technology teams for both tactical project delivery and long-term strategic direction of the platform. Understand integration needs (internal systems and external); assimilate and synthesize the needs of various stakeholders into a common set of platform capabilities. Assess buy vs. build and work with 3rd parties to integrate platform capabilities on a case-by-case basis. Lead by influence, with strong execution skills and focus. Lead project teams of engineers and designers to ensure that the product platform delivers to requirements and meets business needs. Collaborate across business and technical areas to manage all aspects of the platform. Present business cases, product roadmaps, and strategies to key stakeholders and executives.

자격 요건

8+ years of industry experience, with 6+ years of technical Product Management. 3+ years working on Data, Databases and/or Data Analytics. Bachelor’s degree or equivalent in a relevant field, such as Computer Science. Experience in Feature Engineering, Machine Learning Operations (MLOps), AI infrastructure, and/or decisioning systems (Preferred). Experience in building core, risk or compliance platforms (Preferred). Skill sets: analytical, problem solver, strategic planning, leadership, project management and execution, communication with diverse audiences and stakeholders, (written, verbal, and oral)

기술 스택

DataDatabasesData AnalyticsFeature EngineeringMLOpsAI

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