Manager - Long-Term Reliability Strategy

United Airlines•Chicago, IL

1d•$129,675 - $168,794

About The Position

The Manager – Long-Term Reliability Strategy is part of United’s Reliability and Maintenance Programs team and leads the airline’s technical response to age-related reliability risks across all fleets. The manager directs a team of engineers developing prioritized, data-driven initiatives and guides those initiatives from technical research and business-case development through organizational alignment and implementation. The role serves as a strategic integrator across Engineering & Reliability, Finance, Supply Chain, Maintenance Planning, and operational teams, connecting work owned by multiple groups into a cohesive long-term strategy. The manager translates complex technical and organizational efforts into clear executive narratives that support investment decisions, establish priorities, and communicate progress toward a sustainable fleet lifecycle strategy.

Requirements

Bachelor’s degree in engineering or a related technical field.
At least 5 years of experience in a data-driven engineering or business role.
Working knowledge of both Boeing and Airbus aircraft.
Engineering skillsets applicable to a range of aircraft systems and maintenance-program use cases.
Ability to analyze complex technical issues.
Detailed project management skills for regulatory compliance responsibilities.
Excellent verbal communication and technical writing skills.
Must be legally authorized to work in the United States for any employer without sponsorship.
Successful completion of an interview is required to meet job qualifications.
Reliable, punctual attendance is an essential function of the position.

Nice To Haves

Airline experience, OEM experience, or operations experience in a similar industry.
Experience working with aircraft, engine, ground equipment, or other asset fault data.
Familiarity with MSG-3 philosophy and its application in developing and evolving a maintenance program.
Knowledge of airline operations and maintenance execution.
Experience developing and presenting business cases, including cost-benefit analyses, to support decision-making.
Understanding of generative AI capabilities and limitations, and effective use of AI tools for research, analysis, content creation, and problem-solving.
Ability to critically validate AI-generated outputs while following company policies for responsible AI use, data privacy, and security.

Responsibilities

Develop and maintain an enterprise-wide aging-aircraft reliability strategy and portfolio across all fleets, including setting priorities, identifying emerging technical and operational risks, defining objectives, and connecting initiatives into a long-term roadmap.
Coordinate aging-aircraft efforts across Maintenance Programs, Fleet Engineering, Fleet Management, Reliability, Finance, Supply Chain, Maintenance Planning, and operational teams; build alignment, clarify dependencies, and coordinate maintenance-program initiatives with broader Engineering & Reliability work.
Guide the development, prioritization, approval, and implementation of data-driven maintenance programs and engineering initiatives addressing age-related failure modes and reliability risks.
Ensure recommendations include technical research, project justification, cost-benefit analysis, risk assessment, implementation planning, and coordination of regulatory approvals when required.
Develop and deliver executive presentations, recurring aging-aircraft reviews, strategy documents, technical summaries, and business cases that communicate priorities, progress, trade-offs, implementation needs, and how projects support the broader strategy.
Lead, develop, and provide technical direction to a team of engineers responsible for aging-aircraft reliability initiatives.
Establish team expectations, allocate resources, guide technical problem-solving and decision-making, review recommendations, remove barriers, provide constructive feedback, and ensure work is rigorous, actionable, and aligned with organizational priorities.