Manager Operations Analytics
JetBlue · New York, New York, United States · 1 mo ago
Management$114k–$170k/yrFull-time
We need to output HTML fragment with sections: About the role (maybe from Position Summary), Responsibilities (Essential Responsibilities), Requirements (Minimum Experience and Qualifications), maybe Preferred Experience and Qualifications could be part of Requirements or separate? The instruction: use headings for sections like About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. We should include sections only when posting has real specific content. We have Position Summary -> About the role. Essential Responsibilities -> Responsibilities. Minimum Experience and Qualifications -> Requirements (or Qualifications). Preferred Experience and Qualifications could be another section maybe "Preferred Qualifications". But we have headings list includes Qualifications, Skills, Benefits, Pay, Schedule. We have Pay info (Compensation). So we should include Pay section. Benefits: mention in compensation paragraph: performance bonuses, RSU, healthcare, 401(k), etc. So we can include Benefits section. Schedule: not mentioned explicitly; maybe not include. Skills: could be derived from qualifications but we might not need separate Skills if we have Requirements. But we could include Skills if we want. However instruction: prefer few substantive sections over many thin ones. So we can combine Requirements and Qualifications into one section maybe "Requirements". But we have headings list includes Requirements and Qualifications separate; we can choose to include either. Since we have both minimum and preferred qualifications, we could have a "Requirements" section for minimum, and a "Preferred Qualifications" section maybe not in list but we could still include as a heading? The instruction says use headings for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule). It doesn't forbid other headings, but suggests those. Safer to stick to those. We could put minimum under Requirements, and preferred under Qualifications. Skills maybe not needed. Benefits and Pay separate.
Thus sections: About the role (from Position Summary). Responsibilities (Essential Responsibilities). Requirements (Minimum Experience and Qualifications). Qualifications (Preferred Experience and Qualifications). Benefits (from compensation paragraph). Pay (Compensation base pay range). No Schedule.
We must not repeat job title as heading. No Job ID. Remove boilerplate like Crewmember Expectations, Equipment, Work Environment, Physical Effort, etc. Also remove "Other duties as assigned". Also remove "Crewmember Expectations" etc. Also remove "Equipment", "Work Environment", "Physical Effort". Also remove "Must pass a pre-employment drug test", "Must be legally eligible to work..." etc? Those are part of Minimum Experience and Qualifications? Actually they appear after Minimum Experience and Qualifications list. They are still part of qualifications but maybe we should keep them as they are substantive? They are requirements (drug test, eligibility). Might keep them in Requirements section. However they are somewhat boilerplate but still specific. The instruction: remove cookie/navigation/legal/EEO/equal-opportunity/scam-warning boilerplate, duplicated lines, and application instructions. Those are not exactly that. Drug test and eligibility are job requirements, not boilerplate. Keep them.
We need to preserve all substantive information; do not invent or summarize away detail. So we need to include all bullet points from responsibilities, qualifications, etc. Use
- for any list of duties/requirements/benefits. Use
for prose. Thus we need to convert paragraphs into
and lists into
- . For sections with multiple paragraphs, we can have multiple
. Let's extract content. Position Summary paragraph: "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." That's one paragraph. Essential Responsibilities list: many items each starting with a verb. We'll make each a
- . Minimum Experience and Qualifications: list of items: Bachelor’s Degree ... OR demonstrated capability...; Five (5) years...; Proficient with SQL...; Proficiency in Python, R...; Proficiency with data visualization...; Demonstrated experience developing or implementing predictive models...; Demonstrated ability to translate analytical results...; Demonstrated ability to build effective cross-functional partnerships; Strong airline business acumen...; Strong analytical, problem-solving, and critical-thinking skills; Ability to lead multiple complex initiatives...; Able to communicate complex technical...; 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. We'll put each as
- . Preferred Experience and Qualifications: list: Six (6) years of data analytics...; Three (3) years’ experience in a supervisory or managerial capacity; Advanced degree...; Thorough understanding of the Federal Aviation Regulations...; Knowledge of airline operational processes...; 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. We'll put each as
- .
Benefits: from compensation paragraph: "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."
We'll make a
- for each benefit? Could be one
but instruction: use
- for any list of duties/requirements/benefits. So we should list each benefit as
- . Let's split: performance bonuses, restricted stock units, 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. Also "and more" maybe ignore.
Pay: base pay range $114,000 to $170,000 per year. We'll put in
. We must not include sections with filler like "commensurate with experience". Not present. Now produce HTML fragment:
About the role
...
Responsibilities
- ... ...
Requirements
- ... ...
Qualifications
- ... ...
Benefits
- ... ...
Pay
The base pay range for this position is between $114,000.00 and $170,000.00 per year.
Make sure no extra whitespace issues. Let's craft the lists precisely. Responsibilities items (copy exactly as in text, preserving punctuation): - 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. We'll keep as is. Requirements items: - 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 Qualifications items (Preferred): - 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 Benefits items: - performance bonuses - restricted stock units - access to healthcare benefits - a 401(k) plan and
- for each benefit? Could be one
- . For sections with multiple paragraphs, we can have multiple