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Capgemini

Founded in 1967, Capgemini is revered as one of the world's leading consulting, technology, and outsourcing agencies. In 2016 alone, the company reported global

PLM Consulting - Digital Engineering - Engineering Strategy & Transformation Lead

Location

India

Posted

4 days ago

Salary

0

Seniority

Lead

No structured requirement data.

Job Description

PLM Consulting - Digital Engineering - Engineering Strategy & Transformation Lead

Capgemini

Role Description In this role you will advise clients on engineering transformation across PLM, ALM, Digital Twins, New Product Development (NPD), and Software-driven transformation in Aerospace, Automotive, and other Discrete Manufacturing sectors. - Drive strategic engagement for ensuring high impact value, design tailored "As-Is" and "To-Be" state maps aligned with client goals, ensuring readiness for AI and Agentic AI integration where applicable. - Identify and articulate opportunities for Generative AI and Agentic AI adoption within engineering workflows translating complex business challenges into structured problem statements suitable for AI led solutions. - Lead large scale engineering transformation programs spanning product development, R&D, manufacturing engineering, and service lifecycle objectives, leveraging AI based solutions. - Develop and deliver strategic market insights, competitive benchmarks, and solution accelerators, including thought leadership assets on Digital Twins, Agile PLM, MBSE, Simulation, Agentic AI, Sustainability, and software defined products. Qualifications - Drive requirements gathering, process design, and implementation direction for PLM/ALM platforms, apply strong functional knowledge of at least one PLM suite (e.g., Teamcenter, Windchill, Enovia/3DEXPERIENCE, SAP PLM). - Facilitate client workshops, stakeholder interviews, and executive presentations; manage multi cultural, multi-geography engagement teams with strong project management discipline. - Leverage organizational data from enterprise repositories to unlock engineering intelligence and enable data driven decision making across the product lifecycle. - Build assets, frameworks, and points of view on emerging themes: Agentic Engineering, Intelligent PLM, Portfolio Standardization/Product Complexity and Product Line Engineering, Software transformation, and AI enabled transformation in Engineering. Benefits - Recognize the significance of flexible work arrangements to provide support, including remote work and flexible work hours, to maintain a healthy work-life balance. - Career growth opportunities through an array of career growth programs and diverse professions. - Access to valuable certifications in the latest technologies such as Generative AI.

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