F135 Supply Chain Unit Level Spares Modeler & Analyst Onsite

Location: US-CT-EAST HARTFORD-ENG ~ 400 Main St ~ BLDG ENG
Date Posted:
Country: United States of America
Position Role Type: Onsite
U.S. Citizen, U.S. Person, or Immigration Status Requirements: U.S. citizenship is required, as only U.S. citizens are authorized to access information under this program/contract.
Security Clearance Type: None/Not Required
Security Clearance Status: Not Required

We are seeking a highly motivated individual to contribute to the success of the Unit Level Forecasting team. This team specializes in understanding hardware demands for maintenance performed at the Unit (military base) level. This individual will play a crucial role in driving continuous improvement initiatives and enhancing supply chain forecasting processes through detailed analysis and performance metrics. The position will provide the selected candidate with the opportunity to contribute to a team that will look to help solve global sustainment inventory optimization challenges, communicate trends and provide insight through data collection and analysis.

• Provide strong leadership to the Unit Level Forecasting Team, including mentorship, advocacy, and development opportunities
• Ensure Gross Issue Effectiveness (GIE) targets are met, hardware in the right place at the right time; support aggregate demand planning, proposal activity, and management of target stock levels (TSLs)
• Engage regularly with internal and external stakeholders to manage inputs to model; prepare and present modeling outputs, including performance data, to leadership and other key stakeholders
• Manage and develop dashboards needed to support the F135 Supply Chain network, including developing methods of modeling new emerging issues to align the forecast model with program needs
• Understand program initiatives and the impact the unit level part needs, including but not limited to the Engine Core Upgrade (ECU) and Advanced Lifing Algorithms (ALAs)
• Lead process improvement CORE initiatives to support continuous improvement across forecasting functions

• Bachelor’s degree
• 8 years of supply chain management, business, data analytics, or Science, Technology, Engineering, or Mathematics (STEM) experience; or an advanced degree with 5 years of experience in supply chain management, business, data analytics, or STEM
• U.S. citizenship is required, as only U.S. citizens are authorized to access information under this program/contract

• Strong analytical skills with the ability to interpret complex data and make data-driven recommendations
• Strong problem-solving skills and a passion for continuous improvement
• Excellent communication skills and ability to work within a cross-functional organization at all levels including senior leadership
• 5+ years proficiency of SAP, PowerBI, Oracle SQL, Python Programming
• Understanding of forecasting tools, including but not limited to time-series forecasting, SPM and FLOSIM
• Experience in developing and working with metrics, KPIs, performance dashboards, Project Management
• Experience in Aerospace/Automotive/Industrial Power industries
• Proficiency in relevant software tools (Microsoft Office products, discrete modeling software, data visualization tools)

In addition to transforming the future of flight, we are also transforming how and where we work. This role is onsite; employees who are working in onsite roles will work primarily onsite, including all production and maintenance workers, as they are essential to the development of our engines.

Relocation assistance is not provided. Candidates will learn more about role type and current site status throughout the recruiting process. For onsite and hybrid roles, commuting to and from the assigned site is the employee’s personal responsibility.

As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote.

The salary range for this role is 107,500 USD - 204,500 USD. The salary range provided is a good faith…