F135 Customer Data Manager - (Onsite)

RTX•East Hartford, CT

2d•Onsite

About The Position

At RTX, the world largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world’s most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world. Pratt & Whitney is a world leader in the design, manufacture and service of aircraft engines and auxiliary power systems and has been revolutionizing modern flight for over 100 years. Join us and help shape the future of aerospace and defense. The F135 Sustainment Data Management and Analytics (SDMA) organization supports sustainment contracts for the F135 engine powering the F-35 Joint Strike Fighter. SDMA is seeking a Customer Data Manager to join a highly skilled data-focused team responsible for enabling accurate, reliable, and integrated depot-level maintenance data across the F135 enterprise. This is a rare opportunity to contribute to fleet readiness, data integrity, and process modernization across a complex global sustainment ecosystem. The F135 Fleet Data Management Customer Data Manager serves as a key contributor to the F135 Sustainment Program, with primary responsibility for maintaining data availability, quality, and integrity across the Maintenance Management Systems (MMS). This role focuses on ensuring seamless depot data integration and alignment across all platforms, applications, databases, and directories within the F135 Program Data Architecture. Success requires strong cross-functional engagement and digital fluency to drive process efficiency and tool improvement.

Requirements

Bachelor’s Degree
8 years of data analytics, data science, data management, Engineering, Field Services, Depot Engine or Quality Management experience or an Advanced degree with 5 years of data analytics, data science, data management, Engineering, Field Services, Depot Engine or Quality Management experience
Must be a U.S. Citizen. This position may require access to systems/tools that are restricted to individuals who possess US citizenship.
Must be willing to travel up to 10%

Nice To Haves

Master’s degree and 4+ years of data analytics, data science, data management, Engineering, Field Services, Depot Engine or Quality Management
Familiarity with Jet Engines and Maintenance concepts
Demonstrated leadership experience in a formal or informal capacity, with Project Management skills
Engineering, Data Science, Data Analytics, AI-ML experience
Excellent collaboration and communication skills.
Ability to create meaningful metrics from large datasets
Ability to manage competing priorities and short deadlines

Responsibilities

Ensure data is aligned across multiple platforms, applications, and systems serving as the Authoritative Source of Truth (ASoT). You will be responsible for performing data quality reviews of the fleet status vs. maintenance task limits, review individual assets when exception handling is required, and coordinate resources for and actively execute reconciliation of the data.
FDM Focal for flight test and FT Engine Management support to include serially tracked part reconciliation and troubleshooting efforts with the site Engine Managers.
Support ongoing Fleet Management Campaigns by ensuring Time Compliance Technical Directive (TCTD) execution, completion tracking, and compliance reporting.
Participate in the Customer Support Integrated Product Team (CSIPT), providing data-driven insights to support communication of fleet issues with both internal and external customers.
Identify areas for automation within our systems, processes, and tools and assist with development of new processes and tools that improve the way we perform tasks.
Ensure proactive availability of reconciled lifing data for Module and LRU repair value streams.
Collaborate with cross-functional partners including Customer Service Engineering, Global Service Engineering, Support Equipment Operations, Supply Chain Management, and Depot Engine Management to support end-to-end process execution.
Execute and deliver data quality metrics as required as well as attend depot level meetings/working groups/capacity reviews as needed.
Perform other data quality reviews as assigned.