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

Aptiora; Zürich; Híbrido; CHF 360.000 - 700.000; Jornada completa

Descripción de la vacante

Artefact in Switzerland is seeking a high-impact engineering leader to manage the Swiss Life Sciences practice and its growing team. You will drive scale across offers, client base and collaboration with Artefact’s global healthcare teams to deliver ambitious data and AI transformations.

You will lead senior client stakeholders (CIO/CDAO, heads of Medical Affairs, R&D Operations) through data-driven programs, ensure delivery quality and shape the practice strategy for growth in Basel and Zurich.

Formación

• 15+ years of experience in life sciences consulting.
• 8+ years serving pharma/biotech/medtech clients.
• Currently Director or Associate Partner with a personal sales target.
• Strong network among Life Sciences decision-makers in Switzerland.
• Fluent English; German is a strong advantage.

Responsabilidades

• Scale the Swiss Life Sciences practice across offers, clients and team.
• Grow client relationships and win new business for a broad portfolio.
• Lead senior client stakeholders through data and AI transformation.
• Oversee project delivery and quality assurance on life sciences engagements.
• Collaborate with Zurich leadership on strategy and investments.

Descripción del empleo

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.

Manage engineering team

High user impact and rapid iteration

Leadership scope High

AI / domain intensity Medium

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.