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Artefact

Data and AI-driven business transformation consulting

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

Strategy & Management ConsultingConfirmed live in the last 24 hours
Full-timeZürich, SwitzerlandNo salary listed

About the Job

Requirements

  • 12–15 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; an in-house move later in the career is acceptable.
  • Currently a Director, Principal or Associate Partner with a personal sales target and ready to move to Partner.
  • A track record of originating business with life sciences clients, including personally opened clients and revenue sold beyond extensions of existing accounts.
  • A network among decision-makers in the Swiss life sciences industry, especially in Basel and Zurich, that the candidate is 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, including discussing the data needs, costs and returns of AI use cases.
  • Fluent English.
  • Based in or willing to relocate to the Zurich area, with regular travel to Basel.

Responsibilities

  • Scale the Swiss Life Sciences practice, its offer, client base and team, in coordination with Artefact’s global healthcare and life sciences teams.
  • Grow existing client relationships and win new clients to expand the practice into a broad portfolio.
  • Lead senior client stakeholders through data and AI transformation.
  • Oversee project delivery and quality assurance on life sciences engagements and provide strategic support to ongoing client programmes.
  • Spar with the Swiss Managing Partner on practice strategy and investment.
  • Build on existing life sciences work to define where data and AI create value across R&D and clinical development, regulatory and medical affairs, manufacturing and quality, supply chain, and commercial engagement.
  • Translate the value opportunities into Swiss offers with clear entry points, scope and pricing.
  • Build a go-to-market plan for Swiss life sciences, own the pipeline and write proposals that address client problems.
  • Navigate pharma procurement, including vendor qualification, framework agreements and preferred-supplier panels.
  • Sponsor and oversee engagements run day to day by Engagement Managers, multidisciplinary teams of consultants, data scientists and data/AI engineers, and ensure delivery quality.
  • Ensure delivery meets regulatory requirements, including GxP, validation of AI systems, Swiss FADP/GDPR and the EU AI Act.
  • Be accountable for client satisfaction, project margin and team experience.
  • Speak and publish on AI in life sciences, including GenAI in medical and regulatory writing, AI in clinical operations, HCP engagement and AI governance under GxP.
  • Turn Swiss life sciences work into references and case studies and bring them into Artefact’s global practice.
  • Hire and develop consultants with life sciences experience, train the wider Swiss team on the domain and own staffing on engagements.

Desired Qualifications

  • German is a strong advantage.
  • French is a plus.

About the Company

Artefact

Data and AI-driven business transformation consulting

Artefact helps organizations use data and AI to transform their operations and decision-making. It provides end-to-end services across the data value chain, from strategy and data platform implementation to governance, advanced analytics, and sector-specific AI tools, delivered through consulting and project execution. The company works with industries like FMCG, retail, and luxury goods to optimize marketing performance, customer engagement, and ROI. Artefact differentiates itself by combining consulting expertise with data science and AI capabilities across multiple regions, offering integrated, sector-focused solutions rather than just advisory services. The main goal is to help clients adopt data-driven approaches to improve efficiency, decision quality, and marketing results at scale.

Company size
1,001-5,000
Company stage
IPO
Headquarters
Paris, France
Founded
1998

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