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Manager Product Management Data Science

Job in New York, New York County, New York, 10261, USA
Listing for: JetBlue
Full Time position
Listed on 2026-11-04
Job specializations:
  • IT/Tech
    Data Science Manager, Data Analyst, Business Systems & Technology Analysis, AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 120000 - 160000 USD Yearly USD 120000.00 160000.00 YEAR
Job Description & How to Apply Below
Location: New York

Position Summary

The Data Science & Analytics team at Jet Blue is an integral part of the IT Data organization which reports directly to the Chief Digital & Technology Officer due to the strategic importance of Data  Data Science & Analytics team consists of Operations Data Science (ODS), Commercial Data Science (CDS), Artificial Intelligence (AI) & Machine Learning (ML) engineering, and Business Intelligence teams operating in a center-of-excellence model reporting to the Director, Data Science & Analytics.

The teams develop advanced Data products and insights for all cross-functional teams at Jet Blue including up/cross-skilling the internal analyst community.

The Manager, Product Management - Data Science & Analytics is responsible for leading and developing a team of Product Managers supporting Jet Blue's AI, ML, and analytics product portfolio. This role establishes consistent product management practices, drives cross-domain prioritization, and ensures DS&A products deliver measurable business value. Its defining mandate is to build and own the DS&A product-management operating model-the standards, cadences, and governance that make delivery consistent and repeatable across domains.

The Manager will partner closely with Data Science, ML Engineering, Data Engineering, and business stakeholders to align strategy, execution, and adoption across the product lifecycle. This role takes a significant leadership position in building a high-performing Product Management function within the DS&A organization. Product Managers are embedded within DS&A domains and partner daily with domain Data Science managers and business sponsors;

this role leads them in a matrixed model, drawing structured domain and business input into prioritization and performance decisions.

Essential Responsibilities
  • Champion product-management best practices and drive consistency across all DS&A domains
  • Lead, coach, and develop a team of Product Managers, including hiring, onboarding, goal setting, and performance management
  • Establish and maintain standardized product management practices across DS&A, including intake, discovery, documentation, roadmap management,
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