Manager Operations Analytics

• 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

• 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

• 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

• Regular attendance and punctuality

• Regular attendance and punctuality