Business Performance -Supply Chain Manufacturing Ops & AI Transformation Delivery - Senior Manager

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Role Snapshot Client-facing manufacturing and AI transformation leader accountable for shaping, mobilizing, and delivering complex, technology-enabled solutions that combine deep manufacturing domain expertise with modern data, AI, and industrial technology capabilities to produce measurable operational and business outcomes.   The opportunity As a Senior Manager in Supply Chain Manufacturing, you will lead client-facing transformation programs across manufacturing strategy, operational excellence, plant performance, digital manufacturing, industrial AI, data platforms, and technology-enabled operations. You will guide clients from problem definition and value-case development through functional and technical design, implementation, adoption, stabilization, scaling, and value realization. This delivery role requires a strong techno-functional balance: the credibility to lead manufacturing operating-model and process transformation, together with the technology fluency to direct modern data, AI, application, integration, and IT/OT delivery. You will lead multidisciplinary teams and remain accountable for quality, risk, outcomes, and the client experience.   Your key responsibilities In this pivotal role, you will be responsible for the effective management and delivery of complex processes, solutions, and projects, with a keen focus on quality and risk management. You will navigate operational and organizational dynamics, manage client relationships, and contribute to revenue generation and commercial relationship management. This role will challenge you to:

Lead the end-to-end delivery of complex manufacturing transformation programs, from mobilization and design through implementation, deployment, stabilization, and value realization. Own senior client relationships, establish delivery governance, align stakeholders, facilitate decisions, and communicate program status, risks, dependencies, and outcomes. Translate manufacturing priorities and P&L 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. Lead the design and delivery of scalable industrial data foundations, including cloud and edge data platforms, unified namespaces, canonical and semantic data models, ontologies, asset hierarchies, master data, knowledge graphs, metadata, lineage, and governance. Shape and industrialize AI solutions—including predictive and prescriptive analytics, generative AI, copilots, agents, anomaly detection, root-cause intelligence, digital twins, and decision support—while establishing appropriate model governance, security, monitoring, human oversight, and responsible AI controls. Connect technology delivery to manufacturing management systems and operational excellence, including P&G’s Integrated Work System (IWS), zero-loss methods, total employee ownership, daily direction setting, standards, capability building, and sustained performance improvement. Guide