Senior Manager, AI-Driven Manufacturing Transformation

Ernst & Young Oman

Seattle (WA)

Remote

USD 150,000 - 344,000

Full time

14 days+

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Job summary

EY is seeking a Senior Manager in Supply Chain Manufacturing to lead client-facing, technology-enabled transformation programs across manufacturing strategy, digital manufacturing, and AI-enabled operations. You will guide problem definition, value-case development, and end-to-end design, implementation, adoption, and value realization with multidisciplinary teams.

You will manage governance, risks, budget, and stakeholder communications while driving performance improvements, data foundations,

Qualifications

Bachelor's degree in engineering, supply chain, operations, information systems, business, or related field.
5–7 years of relevant experience spanning manufacturing, supply chain, operational excellence, digital manufacturing, industrial data and AI, technology consulting, or a related field.
Experience leading complex manufacturing transformation, solution development, or technology-enabled improvement initiatives.
Experience leading Managers and multidisciplinary teams across business, functional, data, and technology workstreams.
Practical knowledge of manufacturing strategy and operating models, P&G’s Integrated Work System (IWS) or comparable operational excellence systems, plant transformation, manufacturing technology landscapes, and emerging AI capabilities.
Ability to travel as needed based on business and role requirements. Travel can range from 80-100%
Experience delivering client-facing manufacturing transformation programs through design, implementation, deployment, and stabilization.

Responsibilities

Lead end-to-end delivery of complex manufacturing transformation programs.
Own senior client relationships, establish delivery governance, align stakeholders, facilitate decisions, and communicate program status, risks, dependencies, and outcomes.
Translate manufacturing priorities and value levers into executable workplans, functional and technical solution designs, process changes, AI use cases, technology requirements, data products, operating-model changes, and adoption plans.
Direct multidisciplinary teams across manufacturing operations, functional design, product management, data engineering, data science, AI, enterprise and solution architecture, application delivery, integration, change management, testing, deployment, and support.
Manage scope, schedule, quality, budget, resources, dependencies, issues, risks, and contractual commitments using disciplined delivery and risk-management practices.
Lead manufacturing process and solution design across production performance, asset productivity, maintenance, quality, planning, warehousing, operational excellence, and IT/OT integration.
Shape and industrialize AI solutions—including predictive and prescriptive analytics, generative AI, copilots, agents, anomaly detection, root-cause intelligence, digital twins, and decision support.
Connect technology delivery to manufacturing management systems and operational excellence, including IWS, zero-loss methods, and sustained performance improvement.
Guide solution configuration, integration, testing, deployment, cutover, training, adoption, and operational handover while ensuring readiness.
Define outcome measures, establish performance baselines, track value realization, and work with client leaders to sustain improvements.
Identify follow-on opportunities based on client needs and delivery insights and collaborate with account teams to shape extensions.
Capture delivery lessons, reusable assets, and implementation insights for broader portfolio.
Lead, coach, and develop Managers and delivery teams while fostering accountability and high performance.