Senior AI Solutions Leader - Manufacturing Ops

Ernst & Young Oman

Madison (WI)

Remote

USD 180,000 - 240,000

Full time

14 days+

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Job summary

EY is seeking a Solution Senior Manager in Supply Chain Manufacturing Operations to lead AI-enabled manufacturing solutions, data foundations, and reusable assets for scale across pursuits and engagements.

You will guide architecture, governance, and collaboration with data engineers, AI engineers, software developers, and product leaders to deliver production-ready solutions and demonstrations that address key manufacturing use cases.

Qualifications

Bachelor’s degree in engineering, computer science, data science, information systems, manufacturing, supply chain, operations, or a related discipline.
No less than 5–7 years of relevant experience spanning AI solution development, industrial data platforms, digital manufacturing, manufacturing technology, supply chain consulting, data engineering, software development, or a related field.
Experience building working AI, data, analytics, or software solutions rather than solely defining strategies, managing programs, or delivering advisory services.
Experience developing manufacturing data platforms, industrial data pipelines, common data models, semantic layers, ontologies, or knowledge graphs.
Experience designing or implementing RAG-based applications, AI copilots, intelligent search, conversational interfaces, or agentic workflows.
Experience with data modeling across operational, manufacturing, engineering, maintenance, quality, or supply chain domains.
Experience taking manufacturing use cases from problem definition through architecture, build, configuration, testing, demonstration, and reusable solution packaging.
Experience integrating data from manufacturing and enterprise systems, including structured, unstructured, time-series, event, image, and document sources.
Experience using programming, scripting, low-code, no-code, data-engineering, AI-development, or application-development tools to produce working solutions.
Experience creating technical documentation, reference architectures, data-model specifications, test plans, demonstrations, and deployment guidance.
Demonstrated experience leading Managers and multidisciplinary technical teams through iterative solution-development cycles, including work planning, delegation, review, feedback, performance management, and capability building.
Experience influencing senior stakeholders, supporting pursuits and commercial decisions, managing solution-development risks and investments, and operating effectively in a primarily internal solution-building role with selective client interaction.
Ability to travel up to 50%.

Responsibilities

Set the vision, roadmap, investment priorities, and quality standards for a portfolio of AI-enabled manufacturing solutions and reusable components.
Lead multidisciplinary teams through concept definition, architecture, build, testing, release, adoption, and continuous improvement while staying hands-on.
Translate manufacturing and supply chain priorities into AI use cases, value hypotheses, requirements, and measurable operational outcomes.
Own solution governance, including architecture decisions, responsible AI, cybersecurity, data privacy, quality, risk, release readiness, and compliance with standards.
Direct the design of manufacturing data platforms that connect data from MES/MOM, ERP, historians, SCADA, PLC, IoT, quality, maintenance, laboratory, warehouse, engineering, document, image, and enterprise systems.
Guide the development of reusable data models, ontologies, semantic layers, taxonomies, metadata, knowledge graphs, and governance standards across assets, products, materials, production, quality, maintenance, inventory, and energy.