Consulting Partner in Pharma & Life Science (Strategy & Data/AI Transformation)
Artefact
Artefact is a global data and AI consulting firm. We help organisations turn data and AI into measurable business impact across the value chain, from strategy and operating model to data platforms, AI products and marketing. More than 2,500 consultants, data scientists and engineers work for over 1,000 clients worldwide, including Samsung, L’Oréal, Orange and Sanofi.
- Location
- Zürich, Switzerland
- Source checked
- October 15, 2026
▣ Role summary
Artefact is a global data and AI consulting firm. We help organisations turn data and AI into measurable business impact across the value chain, from strategy and operating model to data platforms, AI products and marketing. More than 2,500 consultants, data scientists and engineers work for over 1,000 clients worldwide, including Samsung, L’Oréal, Orange and Sanofi.
▮ Aptiora signal profile
☰ What you would do
- Your role will encompass:
- Scaling the Swiss Life Sciences practice: its offer, its client base and its team, in coordination with Artefact’s global healthcare and life sciences teams.
- Growing existing client relationships and winning new clients, so that the practice moves from first references to a broad portfolio.
- Leading senior client stakeholders (CDO/CDAO, CIO, heads of Commercial Excellence, Medical Affairs, R&D Operations, Manufacturing & Quality) through data and AI transformation.
- Overseeing project delivery and quality assurance on our life sciences engagements, and giving strategic support to ongoing client programmes.
- Sparring with the Swiss Managing Partner on practice strategy and investment.
- Among your responsibilities as Partner, you will:
✦ Why this role matters
- Work on a core product area for the next era of AI.
- Bridge product ambition with research and infrastructure reality.
◔ What the employer asks for
- –15 years of experience, including 8+ years serving pharma, biotech or medtech clients at a life sciences–focused consultancy or the life sciences practice of a strategy or technology firm. A later move in-house is welcome.
- Currently Director, Principal or Associate Partner with a personal sales target, ready for the step to Partner.
- A track record of origination with life sciences clients: you can name clients you opened yourself and the revenue you sold, beyond extending existing accounts.
- A network among decision-makers in the Swiss life sciences industry, especially in Basel and Zurich, that you are actively growing.
- Working knowledge of GxP and computer system validation, and how they apply to data and AI systems.
- Working fluency in data and AI: you can discuss what an AI use case needs from data, what it costs and when it pays back.
- Fluent English. German is a strong advantage, French a plus.
- Based in or willing to relocate to the Zurich area, with regular travel to Basel.
△ Where the uncertainty is
- Exact team size, reporting line, and near-term mandate are not fully visible from the public posting.
- Compensation, equity, or leveling details are not explicit yet.
- Working model and location flexibility still need verification.
- The balance between research, product, and infrastructure responsibilities may still be broad.
♛ Evidence this role rewards
- Hands-on comfort with modern AI or multimodal product stacks.
- Leadership experience in fast-moving or high-ownership teams.
- Track record of turning complex ideas into shipped products.
◎ Why Aptiora keeps this on the radar
Aptiora is not asking whether the role sounds impressive. It asks whether the posting contains enough scope, evidence, leverage, and unresolved questions to deserve your attention. This public page organizes the opportunity; personalized fit begins inside My Aptiora.
▮ Aptiora decision signals
- The role shows strong leverage rather than generic volume hiring.
- The posting contains enough substantive detail to justify deeper analysis inside Aptiora.
- Public evidence is still not the same as your personal fit or decision quality.
☑ What to verify before acting
- Team mission, size, and what success looks like in the first months.
- Reporting structure, level expectations, and decision authority.
- Whether the real scope is product, research, infrastructure, or a blend.
- Working model, compensation, equity, and interview process.
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