Manager Product Management Data Science

JetBlue; New York (NY); On-site; USD 120,000 - 160,000; Full time

Job summary

JetBlue is seeking a Manager, Product Management - Data Science & Analytics to lead a team of Product Managers supporting JetBlue's AI, ML, and analytics product portfolio. This role builds a standardized DS&A product-management operating model with governed cadences and governance to ensure value delivery across domains.

Collaboration with Data Science, ML Engineering, Data Engineering, and business sponsors will be essential to align strategy and execution across the product lifecycle.

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

Job description

Position Summary

The Data Science & Analytics team at JetBlue 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 at JetBlue. The 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 JetBlue 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 JetBlue'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,