Be part of our journey

As the digital innovation, design, and transformation brand of the Capgemini Group, Capgemini Invent enables Cx Os to envision and shape the future of their businesses. Located in over 30 studios and more than 60 offices around the world, it comprises a 13,000+ strong team of strategists, data scientists, product and experience designers, brand experts, and technologists who develop new digital services, products, experiences, and business models for sustainable growth.


Our Intelligent Industry team in Switzerland is looking for a Senior Consultant / Consultant Smart Plant to join one of our offices (Zurich, Lausanne, Geneve).

• Be the change : as the innovation and transformation powerhouse of Capgemini, you will support our clients through innovative strategy projects around digital, future-proof topics that challenge and transform the status quo.
• Dynamic atmosphere : we offer you entrepreneurial freedom and a collaborative atmosphere within a large company where your opinion is valued and will have a strong impact - on our clients, society, and yourself.
• Growth and development : career pathways are transparently communicated, and we offer you the chance to develop personally, such as through our onboarding training program “the institute” or other tailored training programs within a global network of experts.
• Work-life balance : we safeguard work-life balance through a flexible office – / home ratio, the possibility to do a sabbatical, and our Capgemini well-being hub.
• Team spirit and community : our regular team and company events allow us to connect in an informal and personal way.
• Diversity & Inclusion : we believe that diversity is our greatest strength. Our long-standing corporate culture is open-minded and internationally oriented. We are all role models of empowerment, empathy, and respect.

Bring to life what's next

• Vision, strategy, and roadmap for manufacturing, operations, and supply chain betterment
• Energy and resource efficiency
• Operational excellence and predictive maintenance adopting lean manufacturing principles
• Digital twin and IIo T solutions for simulations, real-time monitoring, and enhance automation
• AR/VR for support and simulations of manufacturing processes and quality control
• MES/MOM E2E transformation

Your qualifications

• Academic excellence : Master’s degree in engineering, Science, Technology, or related fields with outstanding academic records
• Industry knowledge : MES/MOM (Manufacturing Execution Systems / Manufacturing Operations Management), CBM & predictive/prescriptive maintenance solutions, Plant connectivity, IT/OT, digital twin, and connected worker applications (e.g. digital work instruction). Knowledge of process design, optimization, and implementation for smart plan operations
• Consulting experience: Up to 5 years of management consulting or engineering operations in automotive, aerospace, manufacturing, or life science sectors. Exposure to project management for complex transformation projects using agile frameworks and tools is preferred
• Conceptual talent : Structured work capacity and high analytical skills to solve complex problems with a positive mindset and enthusiasm. Eagerness to learn, adapt in uncertain situations, and manage multiple tasks simultaneously. Lateral thinking and ability to bridge technology, strategic evaluation, and practical implementation
• Communication and presentation skills : fluent in English (written and spoken). German (Zurich/Basel) or French skills (Lausanne/Geneva) are mandatory (C1 level). Excellent communication, presentation, and moderation skills
• Digital affinity : very good MS Office skills
• Cultural fit : high reliability, team spirit, and personal fit for a leading global management consulting firm (international orientation & openness to travel, integrity).

Are you interested in becoming part of our team? We look forward to receiving your complete application exclusively via our application portal, stating your salary requirements, earliest possible starting date, and location preference.