Senior AI-Enabled Manufacturing Solutions Leader

EY; Westlake Village (CA); On-site; USD 188,000 - 391,000; Full time

Benefits offered by this job

Medical and dental coverage

Pension and 401(k) plans

Paid time off options

Job summary

EY is seeking a Solution Senior Manager in Supply Chain Manufacturing Operations to lead the design, build, test, and scaling of AI-enabled manufacturing solutions across MES/ERP and related systems. You will drive strategy, governance, and reusable components while guiding multidisciplinary teams to deliver production-ready assets.

The role requires senior solution leadership, deep manufacturing and data-platform knowledge, and the ability to translate priorities into compelling AI use cases.

Qualifications

• A 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.
• Demonstrated 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.
• Ability to travel up to 50%.

Responsibilities

• Set the vision, roadmap, investment priorities, and quality standards for a portfolio of AI-enabled manufacturing solutions, prototypes, accelerators, demonstrations, and reusable solution components.
• Lead Managers and multidisciplinary teams through concept definition, architecture, build, testing, release, adoption, and continuous improvement while remaining hands-on to challenge technical decisions.
• Translate manufacturing and supply chain priorities into AI use cases, value hypotheses, user stories, functional and technical requirements, data and model requirements, acceptance criteria, and measurable operational outcomes.
• Own solution governance, including architecture decisions, responsible AI, cybersecurity, data privacy, quality, risk, release readiness, documentation, and compliance with firm development standards.
• Direct the design of manufacturing data platforms that connect and contextualize data from MES/MOM, ERP, historians, SCADA, PLC, IoT, quality, maintenance, laboratory, warehouse, engineering, document, image, and enterprise systems.
• Guide the development of reusable manufacturing data models, ontologies, semantic layers, taxonomies, metadata, entity relationships, knowledge graphs, and governance standards spanning assets, products, materials, production, quality, maintenance, inventory, energy, labor, and performance.
• Lead the design and industrialization of RAG and GraphRAG solutions using governed manufacturing content, operational data, embeddings, vector search, knowledge graphs, metadata filtering, evaluation methods, guardrails, and human oversight.
• Shape AI assistants, copilots, agents, predictive models, and intelligent workflows for use cases such as predictive maintenance, anomaly detection, root-cause analysis, quality investigation, production optimization, shift handover, troubleshooting, energy optimization, and operational decision support.
• Lead, coach, and develop Managers, engineers, analysts, and specialists; provide timely feedback, support career development, strengthen inclusive teaming, and build the next generation of manufacturing solution leaders.

Job description

EY is seeking a Solution Senior Manager in Supply Chain Manufacturing Operations to lead the design, build, test, and scaling of AI-enabled manufacturing solutions across MES/ERP and related systems. You will drive strategy, governance, and reusable components while guiding multidisciplinary teams to deliver production-ready assets.

The role requires senior solution leadership, deep manufacturing and data-platform knowledge, and the ability to translate priorities into compelling AI use cases.