Digital Engineering and Manufacturing Strategy and Transformation Manager
Job in
8152, Opfikon, Kanton Zürich, Switzerland
Listed on 2026-05-16
Listing for:
Capgemini
Full Time
position Listed on 2026-05-16
Job specializations:
-
IT/Tech
Data Science Manager, IT Consultant, AI Engineer, Systems Engineer -
Engineering
Data Science Manager, AI Engineer, Systems Engineer
Job Description & How to Apply Below
YOUR ROLEThe Invent Intelligent Industry team focuses on enabling secure, scalable, and value-driven digital transformation across Engineering and Manufacturing. We support our clients in strategizing, designing and implementing Digital Engineering, Smart Manufacturing, and AI-enabled Industry solutions to enhance operational excellence, resilience, and innovation.
Our experts combine strategy, technology, and transformation capabilities to modernize engineering landscapes, optimize manufacturing operations, and unlock value from data, automation, and AI-driven workflows across the product and plant lifecycle.
As a Manager in Intelligent Industry, you will be part of a diverse team and help shaping the future of Digital Engineering and Manufacturing transformation.
Key expectations from this role include:
Project Leadership:
Leading and managing complex transformation projects across Digital Engineering, Manufacturing, and Industrial IT environments;
Digital Strategy & Architecture:
Defining target architectures and transformation roadmaps for Digital Engineering, MES/MOM, PLM, Industrial IoT, and AI-enabled manufacturing solutions;
AI & Intelligent Automation:
Identifying, structuring, and scaling AI and agentic AI use cases across engineering and shopfloor processes;
Implementation & Advisory:
Translating business requirements into actionable implementation programs, ensuring alignment between business, operations, and IT;
Business Development:
Driving growth by leveraging client relationships, identifying new opportunities across Engineering, Manufacturing and other domains, and contributing to proposal development;
Client Relationship Management:
Acting as a trusted advisor for senior client stakeholders and ensuring high-quality delivery across engagements;
Thought Leadership:
Contributing to go-to-market initiatives, asset development, and positioning Capgemini Invent in Digital Engineering and Smart Manufacturing.
YOUR PROFILEUniversity degree in Engineering, Natural Science, Information Technology, Computer Science, Business Administration, or a related field;
Minimum of 4 years of relevant professional experience in management consulting, digital engineering, manufacturing transformation, or industrial technology environments;
Strong experience in one or more of the following areas:
Digital Engineering, PLM, MES/MOM, Smart Factory, Industrial IoT, Manufacturing Data Platforms, or AI in Operations;
Proven track record in leading teams and managing work streams in complex transformation programs;
Strong understanding of industrial processes (engineering, production, maintenance, supply chain) and their integration with IT/OT systems;
Experience in defining digital target architectures and translating strategy into implementation roadmaps;
Business acumen and experience contributing to sales and proposal development;
Excellent communication and presentation skills in English (written and spoken). German is mandatory at business-proficient level (C1);
Entrepreneurial mindset, leadership capability, and strong client presence in international environments.
ABOUT CAPGEMINICapgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs.
It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.
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