Manager Operations Analytics

JetBlue Airways Corporation•New York, NY

6d•$114,000 - $170,000•Onsite

About The Position

The Manager, Operations Analytics reports to the Director, Operations Strategy and Engineering and is responsible for JetBlue’s overall Operations Analytics strategy, delivering credible insights, advanced analytics, predictive modeling, and decision-support capabilities that improve operational performance and inform long-term planning, day-of operations, and post-hoc analysis. They represent Operational teams in leading the development and evolution of JetBlue’s Operations Analytics capabilities, including emerging AI-enabled solutions. The Manager serves as a strategic thought partner to Operations leadership, translating complex operational data into actionable insights and recommendations. The role is expected to balance analytical rigor, operational practicality, and business value while establishing standards for analytical quality, modeling, visualization, automation, and data integrity. The Manager is an effective leader whose personal values match JetBlue’s values of Safety, Caring, Integrity, Passion, and Fun.

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

Nice To Haves

Six (6) years of data analytics, data science, operations research, decision support, or related experience in aviation, aerospace, transportation, or another complex operational industry
Three (3) years’ experience in a supervisory or managerial capacity
Advanced degree in Operations Research, Statistics, Mathematics, Engineering, Computer Science, Data Science, Transportation, or a related field
Thorough understanding of the Federal Aviation Regulations pertaining to scheduled domestic and international air carrier operations
Knowledge of airline operational processes, systems, and performance metrics
Knowledge and/or experience with best practices throughout the airline industry
Experience developing analytics teams, mentoring technical talent, and establishing analytical standards and best practices

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, identifying and prioritizing opportunities for analytics, predictive modeling, automation, and AI to improve operational decision-making
Lead the development, evaluation, and application of predictive models, statistical methods, optimization techniques, simulation, machine learning, and other advanced analytical approaches to solve complex operational problems
Translate complex operational questions into analytical frameworks, hypotheses, models, and actionable recommendations for Operations leadership
Identify opportunities to transform recurring analysis, manual processes, and operational decision-making into scalable analytics products, automated insights, and self-service capabilities
Partner with Information Technology, Data Engineering, Data Science, and operational stakeholders to develop and deploy scalable data and AI platforms that support Operations decision-making
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 on a weekly, monthly, and quarterly basis
Serve as a trusted analytical advisor to Operations leaders and functional departments, providing actionable insights and decision support rather than simply fulfilling data requests
Develop dashboards, data products, and other visualization tools that enable leaders and frontline teams to understand operational performance, drivers, trends, and opportunities
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 to ensure corporate consistency, data integrity, and compliance
Stay current on emerging analytics, machine learning, generative AI, and decision-support technologies and assess their applicability to airline Operations data and analytics
Take a significant role in the development of crewmembers to support their engagement, growth and goal achievement.
Other duties as assigned