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, 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 Minimum Experience and Qualifications 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 Preferred Experience and Qualifications 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 Crewmember Expectations Regular attendance and punctuality

Potential need to work flexible hours and be available to respond on short-notice

Able to maintain a professional appearance

When working or traveling on JetBlue flights, and if time permits, all capable Crewmembers are asked to assist with light cleaning of the aircraft

Must be an appropriate organizational fit for the JetBlue culture, that is, exhibit the JetBlue values of Safety, Caring, Integrity, Passion and Fun

Must fulfill safety accountabilities as prescribed by JetBlue's Safety Management System

Promote JetBlue's #1 value of safety as a Safety Ambassador, supporting JetBlue's Safety Management System (SMS) components, Safety Policy and behavioral standards

Identify safety and/or security concerns, issues, incidents or hazards that should be reported and report them whenever possible and by any means necessary including JetBlue's confidential reporting systems (Aviation Safety Action Program (ASAP) or Safety Action Report (SAR))

Uphold JetBlue's safety performance metric goals and understand how they relate to their duties and responsibilities

Candidates must reside within 50 miles of any JetBlue BlueCity location and be able to attend in person collaboration sessions for a few days each month

The use of ChatGPT or any other automated tool during the interview process will disqualify a candidate from being considered for the position

Equipment:

Computer and other office equipment

Work Environment:

Eligible for hybrid work arrangements in accordance with company policy

Physical Effort:

Generally not required, or up to 10 pounds occasionally, 0 pounds frequently. (Sedentary)

Compensation:

The base pay range for this position is between $129,00.00 and $224,000.00 per year. Base pay is one component of JetBlue's total compensation package, which may also include performance bonuses, restricted stock units, as well as access to healthcare benefits, a 401(k) plan and company match, crewmember stock purchase plan, short-term and long-term disability coverage, basic life insurance, free space available travel on JetBlue, and more.

#LI-JC1

#LI-Hybrid

#LI-Remote