AI-Driven Manufacturing Solutions Lead

EY; Columbus (OH); On-site; USD 150,000 - 210,000; Full time

Job summary

EY is seeking a Solution Manager in Supply Chain Manufacturing Operations to design, build, test, and scale AI-enabled manufacturing solutions. You will work with practitioners, data engineers, data scientists, AI engineers, software developers, architects, alliance teams, and solution leaders to turn priority use cases into production-ready assets.

Responsibilities cover end-to-end development of AI-based manufacturing solutions, data platform architectures, and reusable components, with

Qualifications

• Hands-on solution-engineering capability across manufacturing operations, industrial data, AI, applications, integration, and deployment.
• Strong understanding of manufacturing data platforms, industrial DataOps, unified namespaces, data fabrics, data products, contextualisation, and edge-to-cloud architectures.
• Practical knowledge of knowledge graphs, graph databases, semantic layers, ontologies, taxonomies, metadata, entity resolution, lineage, and data governance.

Responsibilities

• 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.

Skills

Solution engineering

AI/ML

Knowledge graphs

RAG

Data platforms

Industrial data

Agile

APIs

Tools

APIs

Job description

EY is seeking a Solution Manager in Supply Chain Manufacturing Operations to design, build, test, and scale AI-enabled manufacturing solutions. You will work with practitioners, data engineers, data scientists, AI engineers, software developers, architects, alliance teams, and solution leaders to turn priority use cases into production-ready assets.

Responsibilities cover end-to-end development of AI-based manufacturing solutions, data platform architectures, and reusable components, with