Sr Supply Chain Engineer, Emerging Technologies

The Industrial Engineer Emerging plays a strategic role in advancing nextgeneration operational capabilities across the endtoend Supply Chain. This position is responsible for identifying evaluating piloting and scaling highimpact emerging technologies that materially improve systemlevel performance decision quality and resilience across complex multinode supply chain networks.

This role requires deep expertise at the intersection of industrial engineering advanced analytics artificial intelligence (AI) Generative AI and agentbased technologies combined with the ability to translate ground breaking innovations into scalable productiongrade solutions. The Industrial Engineer partners closely with business leaders process owners IT data science and customers from multiple functions to frame highvalue problems assess solution alternatives and drive enterprisewide adoption of advanced technologies.

Responsibilities:

• Partner with senior business and supply chain customers to identify operational challenges across demand planning supply planning manufacturing interfaces and endtoend supply chain performance.

• Translate business requirements into structured analytical and optimization problems including definition of objectives constraints tradeoffs and quantitative success metrics.

• Design develop and apply advanced analytical optimization and simulation models to improve performance of complex multinode supply chain systems.

• Apply artificial intelligence machine learning and statistical techniques to generate predictive and prescriptive insights supporting operational and strategic decisions.

• Develop and evaluate Generative AI and agentbased decision systems to support workflow orchestration and decision execution.

• Apply highfidelity modeling methods including scenario analysis simulation and stochastic optimization to assess system behavior and risk under uncertainty.

• Integrate analytical and AI solutions into enterprise supply chain workflows in collaboration with IT architecture data governance and security teams.

• Validate models and solutions through testing benchmarking and performance measurement and support deployment adoption and continuous improvement.

Minimum Qualifications:

• Masters degree in Supply Chain Data Science Industrial Engineering Operations Research or equivalent.

• Supply chain domain expertise combined with advanced analytics optimization AI/ML and simulation to drive intelligent decisionmaking.

• Develop and scale GenAI and agentbased solutions for autonomous secure and adoptable enterprise workflows with strong multi-functional collaboration.

Preferred Qualifications:

• Experience applying advanced analytics optimization simulation and quantitative modeling techniques to solve complex supply chain or operations problems.

• Working knowledge of artificial intelligence machine learning statistical analysis or predictive and prescriptive modeling applied to decisionsupport systems.

• Exposure to Generative AI concepts or agentbased systems used for analytical support workflow orchestration or decision assistance.

• Experience integrating analytical or AIbased solutions into enterprise environments including collaboration with IT data architecture or security teams.

• Ability to communicate analytical results to business customers and support pilot initiatives adoption and continuous improvement efforts.