Manufacturing AI Transformation Manager

Ernst & Young Oman

Wichita (KS)

Remote

USD 128,000 - 235,000

Full time

14 days+

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Job summary

EY in the United States seeks a Manager in its Supply Chain Manufacturing practice to lead market-facing delivery of manufacturing transformation programs leveraging operational improvement, digital technology, and AI. You will work with client executives, plant leaders, engineers, and IT teams to turn business priorities into scalable solutions that improve productivity, quality, and agility.

You will guide design across ERP, MES/MOM, SCADA, and knowledge platforms, manage delivery teams, and

Qualifications

Bachelor's degree in engineering, supply chain, operations, information systems, computer science, business.
4–6 years of relevant experience in digital manufacturing, manufacturing operations, supply chain, industrial technology, systems implementation, consulting, or a related environment.
Experience shaping or delivering AI, advanced analytics, or knowledge-enabled solutions within manufacturing.
Experience working with manufacturing data models, semantic models, ontologies, knowledge graphs, RAG solutions, or comparable approaches for contextualizing and governing operational data.
Experience translating AI use cases into data, knowledge, architecture, integration, security, evaluation, adoption, and value-realization requirements.
Ability and willingness to travel 80-100% as required by engagement needs.

Responsibilities

Lead client-facing manufacturing transformation workstreams from opportunity shaping to design, implementation, deployment, and value realization.
Translate client needs into solution requirements and translating reusable capabilities into practical engagement plans.
Guide solution design across ERP, MES/MOM, connected worker, SCADA, historians, LIMS, QMS, EAM/CMMS, WMS, APS, industrial data platforms, AI services, analytics and reporting environments.
Lead functional design, configuration oversight, prototyping, testing, validation, cutover, training, change adoption, hypercare, and benefits tracking.
Facilitate workshops and decision forums across operations, engineering, quality, maintenance, supply chain, IT, OT, cybersecurity, data, and technology-vendor stakeholders.
Manage project scope, plans, resources, economics, risks, dependencies, decisions, quality, and executive communications.
Lead and coach multidisciplinary delivery teams, review work products, and establish clear accountability for outcomes.
Support technical sales through solution shaping, demonstrations, estimates, proposals, implementation approaches, and responses to requests for proposal.