At FedEx Express, we believe that a connected world is a better world. We connect people and possibilities with our diverse portfolio of transportation, e-commerce, and business solutions. Today, our networks reach more than 220 countries and territories, linking more than 99 percent of the world’s GDP. FedEx is consistently recognized as one of the most admired brands in the world and one of the best places to work. Our people are the foundation of our success and the key to our future. At FedEx, we are as diverse as the world we serve. We leverage our diverse talents, experiences and ideas to be more responsive to customer challenges, spark creative solutions, and adapt to change. FedEx is an equal opportunity / affirmative action employer (minorities/females/disability/veterans) committed to a diverse workforce.

What can you expect as a FedEx team member?

• Career Mobility and Development: When you join FedEx, you’re joining a team with possibilities that literally span the world—from opportunities for advancement and location transfer, to training and leadership programs.

• Total Compensation and Benefits Package: We want to keep our employees for a long time, so we offer competitive benefits, opportunities for flexible work arrangements, and programs to support well-being.

Equal Opportunities
 
Our greatest asset at FedEx is our people. We are committed to building a diverse, equitable and inclusive workforce, and offer equal opportunities, fairness and respect to all regardless of who you are.  We encourage you to apply even if you feel your experience does not align with all the aspects in the job description as you could be exactly who we need for this or another opportunity.
 
We do not tolerate discrimination or harassment based on race, color, ethnicity, national origin, religion, sex, age, genetic information, citizenship, disability, marital status, pregnancy, sexual orientation, gender identity, gender expression, veteran status or any other characteristic protected under national, state or local laws. We will reasonably accommodate team members and third parties with physical and mental disabilities.

Key responsibilities
Operations Research (OR) Model Application and Decision Support

• Lead the application of optimization, simulation and scenario models to network design, schedules, capacity, routing and resource allocation.
• Define business requirements, assumptions, constraints and scenarios, and translate model outputs into practical recommendations.
• Partner with OR specialists, Data Scientists and planners to validate results and integrate solutions into planning workflows.

Business Value Realization

• Prioritize OR opportunities based on service, cost, revenue and operational impact.
• Define success measures, track realized benefits and recommend actions to close value gaps.
• Drive user adoption and expand proven solutions across relevant planning processes.

Strategic Analytics and Program Leadership

• Lead cross-functional analytics and optimization initiatives from business case through implementation.
• Provide scenario-based insights and recommendations to support strategic and operational decisions.
• Communicate progress, risks and outcomes clearly to business and leadership stakeholders.

AI and Technology Enablement

• Identify opportunities to combine OR models with predictive analytics and AI-enabled decision support.
• Support deployment and use of optimization and AI solutions in GCP and related enterprise platforms.

Minimum qualifications

• Bachelor's or Master's degree in Operations Research, Industrial Engineering, Applied Mathematics, Data Science, Statistics, Engineering, Business Analytics or a related quantitative discipline.
• 6+ years of experience in Operations Research, optimization, decision science, business planning or advanced analytics.
• Strong SQL and analytical skills, with working knowledge of Python, visualization, and optimization tools.
• Strong knowledge of network optimization, mathematical programming, scheduling, simulation, and resource allocation.
• Strong business acumen, stakeholder management, leadership, and communication skills, with a focus on business impact.

Preferred qualifications

• Experience in aviation, logistics, transportation, supply chain or network planning.
• Demonstrated experience applying OR models to complex business problems and converting results into measurable outcomes.
• Ability to assess model assumptions, constraints, outputs, and sensitivities.
• Familiarity with GCP, AI, and machine learning applications.
• Experience leading cross-functional initiatives and influencing senior business and technical stakeholders.

Job Posting End Date: