DescriptionThe Manager - Long-Term Reliability Strategy works as part of the Reliability and Maintenance Programs team and leads United's technical response to age-related reliability risks across all fleets. The manager directs a team of engineers in developing prioritized, data-driven initiatives and guides those initiatives from technical research and business-case development through organizational alignment and implementation. Serving as a strategic integrator across Engineering & Reliability, Finance, Supply Chain, Maintenance Planning, and operational teams, the role connects 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.
- Develop and maintain an enterprise-wide aging-aircraft reliability strategy and portfolio across all fleets. Establish priorities, identify emerging technical and operational risks, define strategic objectives, and connect individual initiatives into a cohesive long-term roadmap that supports fleet reliability, aircraft availability, regulatory compliance, and cost-effective operations
- Coordinate aging-aircraft efforts across Maintenance Programs, Fleet Engineering, Fleet Management, Reliability, Finance, Supply Chain, Maintenance Planning, and operational teams. Build alignment among groups with different priorities, clarify organizational dependencies, and ensure that maintenance program initiatives are coordinated with the broader work underway across Engineering & Reliability
- 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 appropriate 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. Translate complex technical work into clear decision-oriented narratives that communicate priorities, organizational progress, financial and operational trade-offs, implementation needs, and the relationship between individual projects and the broader aging-aircraft strategy
- Lead, develop, and provide technical direction to a team of engineers responsible for aging-aircraft reliability initiatives. Establish expectations, allocate resources, guide technical problem-solving and decision-making, review recommendations, remove barriers, provide constructive feedback, and ensure the team's work is rigorous, actionable, and aligned with organizational priorities
Qualifications What's needed to succeed (Minimum Qualifications): - Bachelor's degree
- Engineering or related technical field
- Minimum 5 years' experience in a data-driven engineering or business role
- Working knowledge of both Boeing and Airbus aircraft
- Engineering skillsets that can be applied to a range of aircraft systems and maintenance programs use cases
- Ability to analyze complex technical issues
- Detailed project management skills for regulatory compliance responsibilities
- Excellent verbal communication and technical writing
- Must be legally authorized to work in the United States for any employer without sponsorship
- Successful completion of interview required to meet job qualification
- Reliable, punctual attendance is an essential function of the position
What will help you propel from the pack (Preferred Qualifications): - 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 application in the development and evolution of a maintenance program
- Knowledge of airline operations and maintenance execution
- Experience developing and presenting business cases, including cost-benefit analyses, to support decision-making
- Demonstrates an understanding of the capabilities and limitations of generative AI tools and effectively leverages them for research, analysis, content creations, and problem-solving
- Applies critical thinking to validate AI-generated outputs while adhering to company policies related to responsible AI use, data privacy, and security
