Pharma & Life Sciences Manager Consultant (Strategy & Data/AI Transformation)(m/w/x)

Requirements

• Ambition
• Analytical mindset
• Passion for leveraging data and AI to solve business problems
• Bachelor's and Master's degree (preferred) in Business, Engineering, Computer Science, Economics or related field
• Excellent academic track record (highly valued)
• 5-8 years experience in strategy consulting
• Mandatory focus on Pharma & Life Sciences sector
• Proven track record delivering data, analytics, or AI-driven transformation projects
• Strong grasp of life sciences ecosystem
• Knowledge of regulatory environments
• Knowledge of drug development lifecycle
• Knowledge of digital health trends
• Strong dual affinity for business and technology
• Deep understanding of modern data and AI concepts
• Capability to scope AI use cases
• Confidence discussing tech constraints/opportunities with c-level stakeholders
• Strong knowledge of data and digital technologies
• Tech-savviness
• Eagerness to deepen understanding of data/AI domain
• Strong quantitative and analytical skills
• Ability to draw insights from data
• Analytical mindset
• Comfort with data-driven analysis for decision making
• Excellent written and verbal communication skills
• Ability to present complex ideas clearly
• Ability to adapt message to technical/non-technical audiences
• Experience creating impactful presentations or reports
• Enjoyment of collaborative teamwork
• Client liaison skills
• Fluency in German (written and spoken)
• Fluency in English (written and spoken)
• French language skills (strong plus)
• Eligibility to work in Switzerland
• Motivation
• Pragmatic problem-solving
• Potential
• Passion for driving AI revolution

Tasks

• Work with Pharma & Life Sciences client leadership.
• Address high-stakes questions on AI business models.
• Address questions on data governance and organization.
• Identify strategic programs for maximum impact.
• Break down complex challenges.
• Formulate clear, actionable recommendations.
• Support end-to-end client engagements.
• Frame project hypotheses.
• Analyze markets and competitors.
• Lead client workshops.
• Design governance structures.
• Develop implementation roadmaps.
• Collaborate with C-level stakeholders.
• Build trusted client relationships.
• Communicate clear recommendations.
• Ensure strategic alignment.
• Contribute to Zurich office growth.
• Shape new service offerings.
• Create intellectual capital (frameworks, thought pieces, benchmarks).
• Participate in business development.
• Lead hybrid project teams.
• Mentor project team members.
• Foster team collaboration.
• Ensure high-quality project delivery.
• Support team growth.

Work Experience

Education

Languages

Tools & Technologies