Overview 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 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 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 for Banking, 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 in banking by developing tailored offerings with our Banking sales colleagues, driving project proposals, delivering on projects with interdisciplinary Zühlke colleagues, and becoming a trusted advisor for our clients.
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.).
You are active both internally and externally as an ambassador and thought leader for our discipline, especially for the banking industry.
You support team & talent development in banking-focused Data & AI consulting.
What’s important to us University degree from a leading institution in business or STEM
5+ years hybrid consulting and Data & AI-related work experience
Strong consulting foundations: effective communication, project management, running workshops, selling consulting work, pragmatism, output-focused work, etc.
Work or consulting experience in banking sector, deep knowledge of its value chain, challenges, key trends, particularly related to Data & AI
Expertise in data and/or AI strategy, governance, and management with a deep understanding of how to effectively structure and oversee data & AI initiatives
Expertise with Data & AI implementation projects, from idea to production
Demonstrated ability to inspire, build and lead interdisciplinary teams
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: colleagues from all 16 offices come together to create a positive and inclusive work culture, learning from one another at annual team camps and celebrations
Committed to development: we are investing in your development to help you build skills for today and the future. We’re empowering you to make a positive impact for clients
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 about your ambitions and ideas, and look forward to receiving your application.
We welcome people from all backgrounds, regardless of gender, nationality, race, religion, color, sexual orientation, gender identity, age, marital status, disability or veteran status.
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