Business Planning & Analysis Advisor

• 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.

• 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.

• 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.

• 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.

• 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.

• 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.

FedEx was built on a philosophy that puts people first, one we take seriously. We are an equal opportunity/affirmative action employer and we are committed to a diverse, equitable, and inclusive workforce in which we enforce fair treatment, and provide growth opportunities for everyone. All qualified applicants will receive consideration for employment regardless of age, race, color, national origin, genetics, religion, gender, marital status, pregnancy (including childbirth or a related medical condition), physical or mental disability, or any other characteristic protected by applicable laws, regulations, and ordinances.