Lead Project Management Specialist driving engineering process improvements at Boeing. Collaborating with cross-functional teams to support staffing and project management initiatives.
Responsibilities
Facilitate workforce staffing, resource planning, and other engineering support processes in collaboration with engineering leaders and cross-functional partners (Government Operations, Legal, HR, Finance).
Lead the development, integration, and maintenance of project and program plans and schedules related to staffing and engineering execution
Conduct risk assessments, trend analyses, and variance analyses to identify staffing risks and opportunities, and develop mitigation strategies
Develop, track, and report key performance indicators (KPIs) and metrics aligned with organizational goals
Use data analytics and automation tools to collect, analyze, and streamline complex data sets supporting engineering lifecycle products and services
Create and maintain dashboards, visualizations, and reports to communicate workforce and program status to senior leadership
Facilitate cross-functional meetings, technical reviews, and large-scale events to ensure alignment and effective communication
Drive process improvements and change management initiatives to enhance staffing efficiency and program execution
Lead implementation and adoption of data analytics platforms to improve engineering decision-making and workforce planning
Build and maintain strong relationships with stakeholders to gain support and ensure successful execution of staffing and program processes
Requirements
Ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship
An interim and/or final U.S. Secret clearance Post-Start is required
Bachelor's degree or higher
5+ years of experience of working independently and collaboratively in a team environment
Proven experience facilitating workforce staffing or other resource planning processes within technical or engineering organizations
Strong data analysis and automation skills, with demonstrated ability to collect, interpret, and streamline complex data sets
Experience developing and tracking key performance metrics and KPIs
Proficiency in Microsoft Excel and Power BI for creating dashboards, visualizations, and reports that support data-driven decision-making
Excellent verbal and written communication skills, with the ability to collaborate effectively with engineers, engineering leadership, and cross-functional teams.
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