AI-Driven Manufacturing Transformation Manager

Ernst & Young Oman

Miami (FL)

On-site

USD 128,000 - 257,000

Full time

14 days+

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Benefits offered by this job

Medical and dental coverage

401(k) plan

Job summary

EY seeks a Manager in Supply Chain Manufacturing to lead market-facing delivery of manufacturing transformation programs that combine operational improvement, digital technology, advanced analytics, and AI. You will collaborate with client executives, plant leaders, and IT/OT teams to turn priorities into implementable solutions that boost productivity and manufacturing agility.

You will guide design across ERP, MES/MOM, SCADA, AI services, and analytics, while driving workshops, risk

Qualifications

Bachelor's degree or equivalent in engineering, supply chain, operations, information systems, computer science, business, or related field.
4–6 years of relevant experience in digital manufacturing, manufacturing operations, supply chain, or related environment.
Experience shaping or delivering AI, advanced analytics, or knowledge-enabled solutions within manufacturing or supply chain.
Experience with manufacturing data models, semantic models, ontologies, knowledge graphs, RAG solutions, or comparable approaches.
Experience translating AI use cases into data, knowledge, architecture, integration, security, and value-realization requirements.
Experience leading client-facing workstreams or projects connecting manufacturing processes with technology implementation.
Experience translating between functional stakeholders and technical teams, with ownership of delivery artifacts such as process maps, requirements, and data mappings.
Experience managing multidisciplinary teams, delivery plans, risks, quality, and stakeholder communications.
Ability and willingness to travel 80–100% of the time.
Strong written and verbal communication skills to influence stakeholders.

Responsibilities

Lead client-facing manufacturing transformation workstreams and programs from opportunity shaping through design, implementation, deployment, and value realization.
Translate client needs into solution requirements and translate reusable capabilities into engagement plans.
Prioritize solution enhancements, validate use cases, shape demonstrations, assess readiness, and define documentation, training, and support for scalable delivery.
Capture lessons, requirements, configuration patterns, and feedback; incorporate into design backlog and roadmap.
Assess manufacturing processes, data flows, controls, and constraints across plant and network environments.
Translate manufacturing priorities into process designs, functional requirements, user stories, data requirements, and deployment roadmaps.
Guide solution design across ERP, MES/MOM, connected worker, SCADA, historians, LIMS, QMS, EAM/CMMS, WMS, APS, and analytics environments.
Lead design, configuration oversight, prototyping, testing, validation, cutover, training, and benefits tracking.
Facilitate workshops and decision forums among operations, IT, data, and vendor stakeholders.
Manage project scope, plans, resources, economics, risks, decisions, quality, and executive communications.
Lead multidisciplinary delivery teams and coach for clear accountability.
Support technical sales through solution shaping, demonstrations, proposals, and RFP responses.
Identify follow-on opportunities and shape AI use cases like predictive maintenance, quality intelligence, and intelligent scheduling.