Hiring: Business Performance - Supply Chain - Manufacturing Operations Solutions - Manager - Consulting Company: EY Location: Louisville, KY Job Posted Time: 2026-09-16 14:55:29 Target Skills & Keywords : AWS, Agile, Azure, Capital Markets, Configuration Management, Data Pipeline, Databricks, Foundry, GCP, LLM, MLOps, Manufacturing Execution Systems, Microsoft Excel, Neo4j, PLC, Performance Testing, Product Management, Python, RAG, SCADA, SQL, Snowflake About the job Experience: •6 years of relevant experience in AI solution development, industrial data platforms, digital manufacturing, manufacturing technology, data engineering, software development, or a related field. Required Skills: •This is a hands-on solution-building role. The primary purpose of the position is to create working solutions, prototypes, accelerators, demonstrations, reference architectures, and reusable intellectual property that can be configured and deployed by pursuit and delivery teams. •As a Solution Manager in Supply Chain Manufacturing Operations, you will be responsible for the end-to-end development of AI-enabled manufacturing solutions and the reusable data and technology foundations required to scale them. •Own the design, hands-on development, testing, documentation, and continuous improvement of AI-based manufacturing solutions, prototypes, accelerators, demonstrations, and reusable solution components. •Translate manufacturing problems into clearly defined AI use cases, user stories, functional requirements, technical requirements, data requirements, model requirements, acceptance criteria, and measurable operational outcomes. •Lead use-case development from concept through working prototype, including problem definition, value hypothesis, process design, data assessment, solution architecture, configuration, model integration, testing, validation, and handoff for industrialization. •Design manufacturing data platform architectures that connect and contextualize data from MES/MOM, ERP, historians, SCADA, PLC, IoT, quality, maintenance, laboratory, warehouse, engineering, document, image, and enterprise systems. •Develop reusable manufacturing data models spanning assets, sites, lines, equipment, products, materials, production orders, process parameters, quality events, maintenance activities, inventory, energy, labor, and performance measures. •Define and implement manufacturing data ontologies, semantic models, taxonomies, metadata, entity relationships, and governance standards that establish consistent meaning across plants, systems, and use cases. Compensation: •$154,000 - $256,700 / year •In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!