The Digital Transformation & Analytics (DT&A) group provides an effective interface between Pratt & Whitney’s Military Engine business and the Pratt & Whitney Information Technology organization.
In this role you will be a member of a 5 to 10 person team responsible for the execution of a standardized forecasting process for the Mobility programs. Members of the forecasting team use discrete event computer simulation and modeling techniques to conduct probabilistic fleet supportability assessments and probabilistic forecasts of jet engine and component failure/maintenance. This forecasting process provides long term estimates of engine maintenance and material required to support this maintenance.
You will learn the use of these state of the art tools and help the organization plan for the future based on the forecasts that you produce.
Your analytic, project management, and interpersonal skills will be critical for mining these forecasts for trends and biases.
Your technical skills and creativity will be needed to define metrics for measuring forecast accuracy and to recommend and implement process improvements.
Specific responsibilities include:
1. Define study variables,
2. Gather, clean and validate data,
3. Develop software simulation models of jet engine utilization and logistics support processes,
4. Analyze results to understand sensitivity to variables and evaluate support system performance,
5. Create recommendations for support system changes and optimization, and
6. Organize simulation results in effective presentations for customers and management.
Activities also include supporting members of Customer Support Engineering, Maintenance Services, and Reliability groups with ad-hoc studies and reports to understand the impact of field problems and engineering changes.
United Technologies Corporation is An Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age or any other federally protected class.