Manager Product Management Data Science

JetBlue Airways Corporation•New York, NY

1d•$129,000 - $224,000•Hybrid

About The Position

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.

Requirements

Bachelor’s Degree in a technical, quantitative, or business discipline; OR demonstrated capability to perform job responsibilities with a High School Diploma/GED and equivalent work experience
Five (5) years of relevant Product Management experience in Data, Analytics, Data Science, or related product roles
Two (2) years of experience managing and developing Product Managers or equivalent people leadership experience
Experience supporting AI, ML, analytics, or data-driven products in an enterprise environment
Strong understanding of product lifecycle management, KPI measurement, and agile delivery practices
Demonstrated ability to drive measurable business outcomes
Excellent communication, stakeholder management, and problem-solving skills
Knowledge of standard Data Science, Machine Learning, and/or BI technology stacks
Available for overnight travel (10%)
Must pass a pre-employment drug test
Must be legally eligible to work in the country in which the position is located
Authorization to work in the US is required, this position is not eligible for visa sponsorship

Nice To Haves

Advanced degree in computer science, engineering, analytics, or related field
Experience managing a product portfolio spanning multiple enterprise domains
Six (6) years of relevant industry and management experience
Three (3) years of relevant experience in managing the successful launch of Data Science, Machine Learning and/or Business Intelligence products using KPI metrics and product usage dashboards
Experience establishing product governance and standardized operating models
Experience with developing product roadmaps, evaluating product-market fit, organizing user workshops, planning product launches, developing change management frameworks and maintaining product KPI metrics
Demonstrates a strong knowledge of technology trends; industry background
Prior Data Science or Analytics experience

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, launch readiness, and lifecycle governance
Coordinate cross-domain prioritization of the Ready-for-Dev queue with Data Science leadership and business stakeholders; escalate unresolved cross-domain conflicts to the Director
Ensure Product Managers maintain rolling 12-month roadmaps aligned with enterprise priorities and technical capacity
Promote consistent gathering of business and functional requirements and high-quality product documentation
Establish and govern launch-readiness standards—UAT, release planning, and stakeholder communication—that Product Managers execute for their own products
Ensure ML and analytics products have clearly defined KPI metrics tied to business outcomes and adoption targets
Establish portfolio-level reporting to measure product performance, usage, and value realization
Partner with Data Science, ML Engineering, and Data Engineering leaders to ensure alignment across delivery teams
Identify and recommend retirement or re-prioritization of low-impact initiatives
Promote consistent agile and product-management lifecycle practices across the Product Management team
Take a significant role in the development of crewmembers to support engagement, growth, and goal achievement
Other duties as assigned