Engagement Manager (Strategy & Data/AI Transformation)

Job summary

Responsibilities

As an Engagement Manager in our Zurich or Lausanne office, you will work at the intersection of strategy consulting and data and AI delivery. You will:

• Strategy Development: Work with client leadership teams to address high-stakes questions. How can AI reshape our business model? How should we govern and organise for data? Which…
• Structured Problem-Solving: Break complex challenges down into decisions a client can act on, combining consulting rigour with a working knowledge of what current AI can and…
• Solution Design: Turn a business question into a solution shape — what data it depends on, what kind of platform or product it should sit on, and what “good” looks like once it…
• Project Delivery: Run engagements end to end, from hypothesis framing and market and competitor analysis through to data maturity assessments, client workshops, governance design…
• Feasibility & Economics: Own the answer to "will this work, and what will it cost". The evaluation approach, the unit economics per query or per case, and the point at which the…

What they're looking for

• Education: A degree in Computer Science, Engineering, Data Science, Business, Economics or a related field. A strong technical foundation counts for more with us than where you…
• Work Experience: Five to eight years across consulting and technology delivery, including at least one dedicated AI or data project.
• Business Acumen & AI Fluency: A strong dual affinity for business and technology. You have a deep working understanding of modern data and AI concepts — generative AI and LLMs…
• Technical Depth: You have owned the technical shape of AI work, not only its business case. You think in terms of enterprise architecture — how a solution fits the existing…
• Analytical & Problem-Solving Skills: Strong quantitative and analytical skills, and the judgement to know which number actually decides the question.