Standard Job Description

The Senior Manager, Supply Chain AI and Digital Solutions will lead the identification, evaluation, development, and implementation of artificial intelligence and advanced analytics capabilities across the Global Supply Chain organization. This leader will serve as the primary bridge between corporate AI and technology teams and business-area supply chain professionals, translating operational challenges into practical, secure, scalable solutions.

The successful candidate will combine supply chain knowledge, technical acumen, and program leadership. This individual will partner with stakeholders across supply chain, programs, engineering, contracts, information technology, cybersecurity, legal, and other functions to identify high-value opportunities and guide solutions from initial concept through deployment, adoption, and benefit realization.

Initial areas of focus will include program and supplier performance, contract negotiations, and workforce efficiency The role will assess where AI is appropriate, understand the capabilities and limitations of current systems and data, prioritize opportunities based on business value and implementation feasibility, and ensure solutions align with applicable security, compliance, data-governance, and responsible-AI requirements.

Desired Skills

• Develop and maintain a strategic roadmap for applying AI and advanced analytics across Global Supply Chain.
• Engage business-area supply chain leaders and practitioners to identify business problems, process inefficiencies, decision-support needs, and opportunities for automation or augmentation. Translate supply requirements into clear business use cases, functional requirements, acceptance criteria, and implementation plans for AI and technology teams.
• Partner with corporate AI developers, data scientists, architects, IT teams, and system owners to evaluate the technical feasibility, scalability, integration requirements, and limitations of proposed solutions.
• Manage a portfolio of AI initiatives from discovery and proof of concept through pilot, production deployment, adoption, and sustainment.
• Establish measurable success criteria and track outcomes such as supplier performance improvement, schedule and cost performance, negotiation effectiveness, cycle-time reduction, productivity gains, risk reduction, and user adoption.
• Ensure solutions support established supply chain processes, policies, procedures, internal controls, contractual requirements, and regulatory obligations.
• Drive organizational readiness and adoption through change management, communications, training, workflow redesign, and user feedback.
• Maintain awareness of emerging AI capabilities and determine where commercially available, internally developed, or hybrid solutions best meet business needs. Promote reusable solutions, common standards, and lessons learned across business areas while accommodating legitimate differences in missions, systems, and operating environments.
• Develop clear business cases and recommendations for senior leadership, including expected benefits, dependencies, risks, investment requirements, and implementation options.

Basic Qualifications

• Bachelor's degree in supply chain management, operations, business, engineering, computer science, data science, information systems, or a related field.
• Significant experience leading complex, cross-functional programs, projects, product implementations, or digital-transformation initiatives in a large, matrixed organization.
• Demonstrated knowledge of supply chain operations, with experience in areas such as procurement, subcontracts, supplier management, supplier performance, material planning, category management, contract negotiations, source selection, or supply chain risk management.
• Experience converting business needs and operational challenges into structured use cases, functional requirements, process designs, or technical requirements.
• Working knowledge of AI, machine learning, generative AI, automation, advanced analytics, or decision-support technologies sufficient to collaborate effectively with technical development teams.
• Ability to understand and communicate the capabilities, limitations, dependencies, and risks of AI-enabled solutions to both technical and nontechnical audiences.
• Experience working with enterprise systems, data sources, system integrations, and business processes; ability to assess whether available data and technology can support a proposed use case.