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About the Role

The Manager, Operations Analytics is responsible for JetBlue’s overall Operations Analytics strategy, delivering insights, advanced analytics, and predictive modeling to improve operational performance and inform planning. This role represents Operational teams in leading the development and evolution of Operations Analytics capabilities, including AI-enabled solutions, and serves as a strategic partner to Operations leadership.

Responsibilities

Conduct strategic, operational, and advanced analytics in support of corporate initiatives and operational performance improvement.
Develop and execute an Operations Analytics roadmap aligned to business priorities.
Lead the development, evaluation, and application of predictive models, statistical methods, optimization techniques, simulation, machine learning, and other advanced analytical approaches.
Translate complex operational questions into analytical frameworks, hypotheses, models, and actionable recommendations.
Identify opportunities to transform recurring analysis, manual processes, and operational decision-making into scalable analytics products, automated insights, and self-service capabilities.
Partner with IT, Data Engineering, Data Science, and operational stakeholders to develop and deploy scalable data and AI platforms.
Assess the costs, benefits, risks, and expected return on investment of corporate initiatives.
Investigate and determine root causes of operational events, performance issues, and failures using data-driven analytical techniques.
Produce operations briefings and executive-level insights for Senior Leadership and the Board of Directors.
Serve as a trusted analytical advisor to Operations leaders and functional departments.
Develop dashboards, data products, and other visualization tools to enable understanding of operational performance.
Collaborate with stakeholders across Operations to establish clear metrics, goals, and analytical standards.
Review and assess regulatory data/reporting policy creation and revisions.
Prepare regulatory reports and data files per government requirements.
Stay current on emerging analytics, machine learning, generative AI, and decision-support technologies.
Take a significant role in the development of crewmembers to support their engagement, growth and goal achievement.
Other duties as assigned.

Requirements

Bachelor’s Degree in Operations Research, Statistics, Mathematics, Engineering, Transportation Planning, Computer Science, Data Science, or a related field; OR demonstrated capability to perform job responsibilities with the combination of a High School Diploma/GED and at least four (4) years of previous relevant work experience.
Five (5) years of progressively responsible experience in operations planning, data analysis, predictive modeling, data science, decision support, or a related analytical field.
Proficient with SQL, data structures, and modern analytical data environments.
Proficiency in Python, R, or similar high-level programming language.
Proficiency with data visualization and business intelligence tools (e.g. Tableau, Spotfire).
Demonstrated experience developing or implementing predictive models, optimization techniques, simulation, machine learning, or other advanced analytical methods.
Demonstrated ability to translate analytical results into clear business recommendations and influence decision-making at multiple levels of an organization.
Demonstrated ability to build effective cross-functional partnerships.
Strong airline business acumen or demonstrated ability to quickly develop deep operational understanding.
Strong analytical, problem-solving, and critical-thinking skills.
Ability to lead multiple complex initiatives in a fast-paced, deadline-driven environment.
Able to communicate complex technical and analytical concepts in an assertive and tactful manner to both technical and non-technical audiences.
Excellent verbal and written communication skills.
Excellent multitasking, prioritization, and organizational skills.
Available for occasional 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.

Skills

SQL
Python
R
Tableau
Spotfire
Data visualization
Business intelligence
Predictive modeling
Optimization techniques
Simulation
Machine learning
Advanced analytical methods
Analytical rigor
Operational practicality
Business value
Analytical quality
Modeling
Visualization
Automation
Data integrity
Communication
Multitasking
Prioritization
Organizational skills

Location

Work Type

Onsite
Office environment

Experience Level

Manager
Five (5) years of progressively responsible experience in operations planning, data analysis, predictive modeling, data science, decision support, or a related analytical field
Six (6) years of data analytics, data science, operations research, decision support, or related experience in aviation, aerospace, transportation, or another complex operational industry (Preferred)
Three (3) years’ experience in a supervisory or managerial capacity (Preferred)

Education Level

Bachelor’s Degree in Operations Research, Statistics, Mathematics, Engineering, Transportation Planning, Computer Science, Data Science, or a related field
High School Diploma/GED
Advanced degree in Operations Research, Statistics, Mathematics, Engineering, Computer Science, Data Science, Transportation, or a related field (Preferred)

Salary/Compensations

$114,000.00 - $170,000.00 per year

Benefits

Performance bonuses
Restricted stock units
Healthcare benefits
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

About the Company

JetBlue’s values of Safety, Caring, Integrity, Passion, and Fun.

Equal Opportunity

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.