• Inspire and engage clients by sharing IBM’s transformation experience and industry best practices
• Discover and shape opportunities using IBM Consulting frameworks and assets to identify value levers
• Co-create solutions through domain-led design sessions and innovation garages
• Partner with local teams to deliver at-scale transformation using proven methods and accelerators
• Lead strategic engagements in manufacturing operations and asset management transformation
• Facilitate workshops and solution design sessions, leveraging deep domain expertise
• Shape and deliver AI-enabled manufacturing and asset management solutions to improve efficiency, reliability, and sustainability
• Collaborate with global teams to ensure successful execution of transformation programs

Support business development through thought leadership, client presentations, and proposals

• Master's Degree
• Required Technical And Professional Expertise
• Proven track record in large-scale transformation programs and senior stakeholder management
• 8+ years of experience in manufacturing operations and asset management, with leadership roles in consulting or industry
• 3+ years of experience with AI, IoT, predictive maintenance and/or advanced analytics applied to manufacturing and asset management
• Demonstrated experience in manufacturing processes and asset lifecycle management / reliability engineering
• Demonstrated experience in KPI-driven process or operational improvement practices
• Excellent communication and facilitation skills, with experience working in global, multi-disciplinary teams
• Experience with Industry 4.0 technologies, including IoT-enabled smart assets and connected factories
• Experience with Pursue Model, ISA-95, ISO 55000 and other relevant standards
• Exposure to procurement and planning processes for integrated manufacturing and asset strategies
• Knowledge of sustainable manufacturing practices and ESG compliance

Thought leadership through publications, speaking engagements, or industry forums

SAP Digital Manufacturing Cloud, Oracle Manufacturing, IBM Maximo, Infor EAM, AVEVA/Other Historians, MES systems)