Data & AI Consultant

Founded in Switzerland in 1968, Zühlke is owned by its partners and located across Europe and Asia. We are a global transformation partner, with engineering and innovation in our DNA. We're trusted to help clients envision and build their businesses for the future – to run smarter today while adapting for tomorrow's markets, customers, and communities. Our multidisciplinary teams specialise in tech strategy and business innovation, digital solutions and applications, and device and systems engineering. We excel in complex, regulated spaces including health and finance, connecting strategy, tech implementation, and operational services to help clients become more effective, resilient businesses.

If you share our values and want to do the best work, for the right reasons, we can offer you the chance to do it on a global scale and play a real role in shaping our exciting journey.

The role

As a Zühlke Data & AI Consultant, your #1 priority is to ensure our Data & AI projects generate the expected impact – from offering development to pre-sales and sales to delivery and ongoing relationship management as trusted advisor.

Important: To ensure a smooth review process, please submit all application documents (CV, cover letter) in English only.

How you'll make impact

• You drive our Data & AI business by developing tailored offerings with our sales colleagues, supporting project proposals, delivering on projects with interdisciplinary Zühlke colleagues
• As a versatile, impact-focused, tech-savvy generalist, you enable technical implementations (e.g., AI applications, data platforms) as a hands-on project/product manager or product owner, and consult clients on the organizational aspects of successful Data & AI transformations (governance, education, processes, etc.)

What's important to us

• University degree from a leading institution in business or STEM
• 3+ years hybrid consulting and Data & AI-related work experience
• Strong consulting foundations: effective communication, slide-based storytelling, research, project management, workshop facilitation, pragmatism, output-focused work, etc.
• Demonstrated experience in one or more verticals (esp. banking, insurance, life sciences, manufacturing, retail), good knowledge of its value chain, challenges, key trends, particularly related to Data & AI
• Project experience in Data and/or AI strategy, governance, and management
• Project experience in Data & AI implementation projects, from idea to production
• Excellent written and verbal communication skills in German and English
• You are assertive, eloquent, proactive and enthusiastic
• You are highly customer-centric and can think and communicate across disciplines and levels of seniority
• You are results-oriented and able to win over stakeholders and decision-makers.

What we offer

• Work life blend: we offer a safe & healthy workplace, with flexible working hours and the possibility to work from home
• Profit share scheme: In addition to your annual salary, you may receive a profit share defined by the company's success in the previous year
• Global and Diverse Zühlke community: witness how colleagues from all our 16 offices across the globe come together to create a unique, positive and inclusive work culture, learning from one another at annual team camps, and celebrating year-end parties and other local festivities.
• Committed to development: we are committed to the growth of our people and are investing in your development. We're empowering you to build the skills you need to make a positive impact, both personally and for our clients, today and in the future.
  
  To dive deeper into local benefits of working in Zühlke follow the link

How to Apply

Please note: Applications must be submitted in English only to be considered.

If you feel you don't meet all the requirements, we are still happy to get to know you, learn more about your ambitions and ideas and look forward to receiving your application  

We welcome people from all backgrounds, regardless of their gender, personality, national origin, race, religion, colour, sexual orientation, gender identity, age, marital status, disability or veteran status.