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Experienced Data & AI Consultant for Banking

Roles & Responsibilities

  • University degree from a leading institution in business or STEM
  • 5+ years Data/AI-related work experience
  • At least 2 years of work experience in a consulting firm advising external clients
  • At least 3 years professional experience in banking with wide knowledge of the banking value chain

Requirements:

  • Lead Data/AI strategy transformations: identify value-adding use cases, assess client maturity, and execute transformation roadmaps
  • Develop bespoke AI solutions: lead use case discovery, manage product backlogs, supervise delivery teams, and ensure user acceptance
  • Develop data/AI platforms: align architectures to user requirements, define service and operating models, and oversee delivery of data products
  • Facilitate cross-disciplinary collaboration and growth: bridge delivery teams and business stakeholders, support the sales pipeline, act as ambassador and thought leader, and develop reusable assets

Job description

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 an experienced 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 help clients achieve their data & AI ambitions on a variety of projects, including: 

  • Data/ AI Strategy & transformation: i.e., identifying value adding use cases, assessing client maturity and executing transformation roadmaps. 

  • Development of bespoke AI solutions: i.e., leading use case discovery, managing product backlogs, supervising delivery teams and ensuring user acceptance  

  • Development of data / AI platforms:  i.e., aligning architectures to user requirements, defining service and operating models, overseeing delivery of data products  

  • You facilitate collaboration between interdisciplinary stakeholders, bridging the gap between delivery teams (i.e., Data scientists, Data engineers, Architects or Software Developers) and business stakeholders at every level of seniority, from CxOs to junior staff.  

  • You contribute to Zühlke’s growth by supporting consultants and business developpers across the sales pipeline, from early positioning meetings to the development of concrete consulting proposals.  

  • You are active both internally and externally as an ambassador and thought leader for our discipline, publishing impactful content and speaking at professional events. 

  • You develop reusable assets to improve the team’s effectiveness, including packaged consulting offerings, templates or demonstrators.   

What's important to us

  • University degree from a leading institution in business or STEM 

  • 5+ years Data / AI-related work experience 

  • At least 2 years of work experience in a consulting firm advising external clients 

  • At least 3 years professional experience in banking with wide knowledge of the banking value chain 

  • Wide-ranging data / AI literacy, with opinions on hot topics such as Responsible AI, Agentic AI, Data Mesh, Synthetic data

  • Experience working on data / AI strategy, governance, and management  

  • Experience working on Data & AI implementation projects, from idea to production 

  • Strong consulting foundations: effective communication, project management, running workshops, structuring consulting projects, etc. 

  • 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: 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.

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