Manager Product Management Data Science

JetBlue Airways Corporation•New York, NY

50d•$129,000 - $224,000•Hybrid

About The Position

The Manager, Product Management – Data Science & Analytics leads and develops a team of Product Managers supporting JetBlue’s AI, ML, and analytics product portfolio. The role establishes consistent product management practices, drives cross-domain prioritization, and ensures products deliver measurable business value. Its central mandate is to build and own the DS&A product-management operating model, including standards, cadences, and governance that make delivery consistent and repeatable across domains. The Manager partners with Data Science, ML Engineering, Data Engineering, and business stakeholders to align strategy, execution, and adoption across the product lifecycle. Product Managers are embedded in DS&A domains and work with domain Data Science managers and business sponsors; this role leads them in a matrixed model, incorporating structured domain and business input into prioritization and performance decisions. The position is part of JetBlue’s Data Science & Analytics organization, which develops data products and insights for cross-functional teams and supports internal analyst upskilling. The position is eligible for hybrid work arrangements in accordance with company policy. Candidates must reside within 50 miles of a JetBlue BlueCity location and be able to attend in-person collaboration sessions for a few days each month. Overnight travel of 10% is required. The role is generally sedentary, with occasional lifting of up to 10 pounds. Compensation is a base pay range of $129,000 to $224,000 per year; the total compensation package may also include performance bonuses, restricted stock units, healthcare benefits, a 401(k) plan and company match, a crewmember stock purchase plan, short- and long-term disability coverage, basic life insurance, and space-available travel on JetBlue.

Requirements

Bachelor’s degree in a technical, quantitative, or business discipline, or demonstrated ability to perform the job with a High School Diploma/GED and equivalent work experience.
Five years of relevant Product Management experience in Data, Analytics, Data Science, or related product roles.
Two 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 and be legally eligible to work in the country where the position is located.
Authorization to work in the US is required; the position is not eligible for visa sponsorship.
Regular attendance and punctuality; potential need to work flexible hours and respond on short notice.
Must maintain a professional appearance and be an appropriate fit for JetBlue culture and values.
Must fulfill safety accountabilities and support JetBlue’s Safety Management System and safety performance goals.
Must reside within 50 miles of any JetBlue BlueCity location and attend in-person collaboration sessions for a few days each month.
Use of ChatGPT or any other automated tool during the interview process disqualifies a candidate.

Nice To Haves

Advanced degree in computer science, engineering, analytics, or a related field.
Experience managing a product portfolio spanning multiple enterprise domains.
Six years of relevant industry and management experience.
Three years of relevant experience managing successful launches 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 developing product roadmaps, evaluating product-market fit, organizing user workshops, planning product launches, developing change-management frameworks, and maintaining product KPI metrics.
Strong knowledge of technology trends and 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, including UAT, release planning, and stakeholder communication, for Product Managers to execute for their 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 reprioritization of low-impact initiatives.
Promote consistent agile and product-management lifecycle practices across the Product Management team.
Support crewmember engagement, growth, and goal achievement.
Perform other duties as assigned.
Promote and uphold JetBlue’s safety policies and standards, identify and report safety or security concerns, and support the Safety Management System.