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Identifying and proposing solutions to operational challenges and roadblocks
Driving processes to solution areas for improvement across Infrastructure Supply Chain & Engineering and implementing changes to increase efficiency and effectiveness
Leading and collaborating with teams across different departments to drive strategic initiatives
Communicating effectively with stakeholders at all levels of the organization
Operationalize goals around business process optimization and efficiency
Utilizing data to identify trends, analyze performance, and develop data-driven recommendations
Building partnerships with key cross functional partners across Infrastructure, Legal, Policy, Finance, etc. to ensure successful collaboration across initiatives
Requirements
8+ years of experience in business strategy, operations, or a related field, in supply chain role
A Bachelor's degree in business or a related field
Proficiency in data analysis, problem-solving, and developing data-driven strategies
Effective communication skills with stakeholders at all levels
Experience in leading teams, managing projects, and influencing stakeholders
Experience building relationships with legal, policy, finance, and other cross-functional partners and driving discussions around strategic projects
Demonstrated experience of thinking critically, analyzing complex situations, and developing effective strategies
Experience using data analysis to define, scope, and recommend solutions for ambiguous cross-functional operational challenges
Nice to have
Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
Experience with technical concepts relevant to supply chain operations
Experience supporting large scale supply chain organization
Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)