AI-Driven Manufacturing Transformation Manager

EY; Fort Worth (TX); Remote; USD 128,000 - 257,000; Full time

Job summary

EY is seeking a Manager in our Supply Chain Manufacturing practice 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 cross-functional teams to turn business priorities into scalable solutions that improve productivity and manufacturing agility.

Qualifications

• A bachelor's degree in engineering, supply chain, operations, information systems, computer science, business, or a related field.
• At least 4 to 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, supply chain, engineering, quality, maintenance, or industrial operations.
• 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.
• Experience leading client-facing workstreams or projects that connect manufacturing processes with technology implementation.
• Experience translating between functional stakeholders and technical teams, with ownership of deliverables such as process maps, requirements, functional designs, data mappings, interface requirements, test strategies, deployment plans, or value cases.
• Experience managing multidisciplinary teams, delivery plans, project risks, quality, and stakeholder communications.
• Ability and willingness to travel to client and manufacturing sites as required by engagement needs. Travel can range from 80-100%.
• Strong written and verbal communication skills, with the ability to influence business, engineering, IT, OT, vendor, and leadership stakeholders.

Responsibilities

• Lead client-facing manufacturing transformation workstreams from opportunity shaping through design, implementation, deployment and value realization.
• Translate client needs into solution requirements and translate reusable capabilities into practical engagement plans.
• Prioritize solution enhancements, validate use cases, shape demonstrations, assess readiness, and define documentation, training, and support for scalable delivery.
• Capture lessons, recurring requirements, configuration patterns, tech constraints, and feedback for design backlog and roadmap.
• Assess processes, data flows, and technology constraints across plant and network environments.
• Translate priorities into process designs, user stories, data requirements, integration needs, and deployment roadmaps.
• Guide design across ERP, MES/MOM, SCADA, historians, LIMS, QMS, EAM/CMMS, WMS, APS, and AI services.
• Lead 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, and vendors.
• Manage project scope, plans, resources, risks, decisions, quality, and executive communications.
• Lead and coach multidisciplinary delivery teams and establish accountability for outcomes.
• Support technical sales through solution shaping, demonstrations, estimates, proposals, and responses to RFPs.
• Identify follow-on opportunities based on outcomes and emerging priorities while maintaining client relationships.
• Shape and deliver AI use cases such as predictive maintenance, quality intelligence, root-cause analysis, and AI-enabled frontline workflows.

Skills

Manufacturing leadership

Digital manufacturing technology

Delivery translation

Architecture and systems landscape

Requirements, data, and integration

Implementation leadership

Client and team leadership

Commercial and delivery management

AI-enabled manufacturing

Manufacturing knowledge engineering

Semantic architecture

Knowledge graphs

RAG and AI grounding

AI architecture and delivery

Responsible AI and governance

Education

Bachelor's degree in engineering, supply chain, operations, information systems, computer science, business, or a related field

Job description

EY is seeking a Manager in our Supply Chain Manufacturing practice 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 cross-functional teams to turn business priorities into scalable solutions that improve productivity and manufacturing agility.