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PayPal Sr Manager Data Strategy 
United States, Illinois, Chicago 
626056765

Yesterday

Essential Responsibilities:

  • Lead complex data science projects, ensuring they meet business objectives and deliver actionable insights.
  • Develop advanced data models and algorithms to analyze large datasets and solve complex business problems.
  • Collaborate with senior leadership to identify data-driven opportunities for business growth and efficiency.
  • Implement best practices for data management, analysis, and visualization.
  • Ensure data governance and compliance with relevant regulations and standards.
  • Provide mentorship and technical guidance to the data science team.

Expected Qualifications:

  • 8+ years relevant experience and a Bachelor’s degree OR Any equivalent combination of education and experience.
  • Experience leading others

Key Responsibilities

New Data Sources

  • Identify, evaluate, and onboard new data sources to enhance risk controls, drive marketing, and enhance profitability for existing credit products and to support risk controls for other PayPal products.
  • Identify, evaluate, and onboard data sources for new credit product launches, including in new countries across the globe.
  • Rapidly evaluate the potential of external data in predictive modeling and decisioning, including using AI/ML techniques.

Credit Bureau Strategy

  • Define and execute the strategy for credit bureau data usage across credit and risk domains across the globe, based on product, market, regulatory, and commercial considerations.
  • Drive commercial strategy and negotiations with credit bureaus from a PayPal-wide perspective.

Leadership & Stakeholder Management

  • Build, lead, and develop a small high-performing team.
  • Collaborate cross-functionally with Credit Risk, Fraud Risk, Machine Learning, Artificial Intelligence, Vendor Management, Data Platform, Data Operations, Legal, and Compliance teams.
  • Lead strategic partnerships and contract negotiations with external data vendors.

Skills Required

  • Track record of building and managing a high-performing team and fostering a culture of innovation, accountability, and focus on the customer.
  • Strategic thinker with a deep understanding of how data can be leveraged to manage credit risk (understanding of fraud risk and marketing for lending products strong bonuses).
  • Experience working with credit bureau and alternative data sources, with a track record of deploying these assets to drive business impact in lending or credit risk functions.
  • Experience working in a highly matrixed environment and successfully collaborating with multiple partner teams to deliver meaningful impact.
  • Working knowledge of how AI/ML techniques can enhance data value and ability to collaborate closely with machine learning and AI teams.
  • Understanding of relevant regulatory environments (e.g., FCRA, ECOA, GLBA, GDPR), especially as they apply to data sourcing and usage.
  • Trusted relationship builder with external data providers and internal stakeholders, including managing sensitive negotiations and long-term partnerships.

Travel Percent:

The total compensation for this practice may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit .

The US national annual pay range for this role is $169,500 to $291,500


Our Benefits:

Any general requests for consideration of your skills, please