The maintenance and repair of aircraft engines is a complex and critical task that requires careful planning and execution to ensure safe and efficient operation of the aircraft. To this end, engine manufacturers and maintenance providers have developed a variety of maintenance and repair programs that are designed to maximize the life and reliability of aircraft engines while minimizing downtime and maintenance costs. The architecture of an engine maintenance and repair program involves the design and integration of various components, including the engine monitoring and diagnostic systems, the maintenance planning and scheduling tools, and the repair and overhaul processes. One key element of engine maintenance and repair architecture is the use of data and analytics to monitor engine performance and identify potential issues before they become serious problems. This requires the collection and analysis of a wide range of data, including flight data, maintenance records, and operational data from the engine itself. By analyzing this data, maintenance providers can identify trends and patterns that can help them predict when maintenance or repair work will be required. This approach requires the development of maintenance and repair strategies that are tailored to the specific needs of each engine. This may involve the use of different maintenance and repair techniques for different engine types, depending on factors such as the age of the engine, its usage history, and the environmental conditions in which it operates. In this paper, high-level architecture that covers the attributes that is proposed and a preliminary sensitivity analysis on key performance indicators such as premature disposal value of critical parts and shop visit occurrences for a given maintenance regime is conducted.