Technical Engagement Lead - Data & AI (Zurich / Lausanne Switzerland)

The Technical Engagement Lead - Data & AI role at Unit8 involves guiding complex Data & AI projects from initial client problems to successful technical solutions. Unit8, established in 2017, specializes in transforming data and AI into tangible business value for large organizations across various industries, including pharma, chemicals, and financial services. The company has a strong presence in Europe, North America, and the Middle East, with over 170 engineers, data scientists, and consultants. The main responsibilities of the Technical Engagement Lead include managing client relationships, defining project objectives, and ensuring high-quality technical solutions. This role involves translating client needs into clear delivery plans, leading the technical solution, and managing the team to achieve project goals. Additionally, the role includes identifying new business opportunities and contributing to pre-sales and new client engagements. To excel in this role, candidates must have 5–8 years of relevant experience, a strong engineering background, and deep expertise in areas such as GenAI, AI Engineering, Data Engineering, Cloud & Data Platforms, or ML/Data Science. Proficiency in problem decomposition, system design, and effective communication with clients and stakeholders is essential. Experience in consulting or client-facing services is a strong plus. Nice-to-have skills include the ability to work across multiple disciplines and a passion for solving complex problems. The role offers the opportunity to work on cutting-edge data and AI topics, with the option to work partially from home and flexible working hours. Unit8 fosters a culture of trust, meaningful work, and passion-led projects, providing a dedicated budget for training and frequent company-wide events. What the role asks for: - 5–8 Jahre relevante Erfahrung - Strong engineering skills - Deep expertise in at least one area: GenAI / AI Engineering, Data Engineering, Cloud & Data Platforms or ML / Data Science - Ability to solve problems and design systems - Experience in leading engineers or teams - Effective communication with customers and senior stakeholders - Experience in consulting or another customer-oriented service environment (nice to have)