Artefactlinkedin16d ago

AI Manager in Pharma & Life Science (Strategy & Data/AI Transformation)

Zürichmid

Data Science

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Quick Summary

Requirements Summary

Education: Bachelor’s and Master’s degree (preferred) in Business, Engineering, Computer Science, Economics or a related field. An excellent academic track record is highly valued.

Technical Tools

Data Science

Responsibilities

~2 min read

We are looking for an ambitious, analytically minded talent who is passionate about leveraging data and AI to solve business problems. The ideal candidate meets several of the following qualifications:

→Education: Bachelor’s and Master’s degree (preferred) in Business, Engineering, Computer Science, Economics or a related field. An excellent academic track record is highly valued.
→Work Experience: Approximately 5–8 years of experience in strategy consulting with a mandatory focus on the Pharma & Life Sciences sector and with a proven track record of delivering data, analytics, or AI-driven transformation projects.
→Pharma Domain Expertise: Strong grasp of the life sciences ecosystem, including regulatory environments, the drug development lifecycle, and digital health trends.
→Business Acumen & AI Fluency: A strong dual affinity for business and technology. You possess a deep understanding of modern data and AI concepts (e.g., Generative AI, LLMs, predictive machine learning, cloud architectures) and their practical business applications. While you do not need to be a programmer, you must be capable of scoping AI use cases and confidently discussing tech constraints and opportunities with c-level stakeholders.
→Strong knowledge of data and digital technologies (e.g. analytics, AI, machine learning concepts, digital marketing, cloud platforms) is expected – you should be tech-savvy and eager to deepen your understanding of the data/AI domain.
→Analytical & Problem-Solving Skills: Strong quantitative and analytical skills, with an ability to draw insights from data. You have an analytical mindset and are comfortable handling data-driven analysis to support decision making.
→Communication & Interpersonal Skills: Excellent communication skills, both written and verbal. You can present complex ideas clearly and can adapt your message to both technical and non-technical audiences. Experience creating impactful presentations or reports is a must. You also enjoy working collaboratively in teams and liaising with clients.
→Languages: Fluency in German and English (both written and spoken) is mandatory; French is a strong plus.
→Work Eligibility: You must be eligible to work in Switzerland.

What We Offer

~1 min read

✓Strategy with a Data Edge: Artefact is not a traditional strategy consultancy nor a pure tech player — we sit uniquely at the crossroads, giving you the chance to build boardroom-level strategy expertise while being at the forefront of AI and digital transformation.

✓Zurich Office Impact: As part of a growing Swiss team, you will have visibility and impact from day one. You will help shape Artefact’s footprint in the region and work directly with senior leadership.

✓Learning & Growth: Regular training in both strategy consulting methodologies and AI/data capabilities, combined with international exposure.• Culture of Doers: Innovation, Action, Collaboration. We are entrepreneurial, fast-moving, and committed to delivering impact — while supporting each other’s growth.