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

Requirements

• Ambitious talent
• Analytically minded talent
• Passion for leveraging data and AI to solve business problems
• Bachelor's degree in Business, Engineering, Computer Science, Economics, or related field
• 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
• Understanding of regulatory environments
• Understanding of drug development lifecycle
• Understanding of digital health trends
• Strong dual affinity for business and technology
• Deep understanding of modern data and AI concepts
• Deep understanding of practical business applications of data/AI concepts
• Capability of scoping AI use cases
• Confidence in discussing tech constraints/opportunities with c-level stakeholders
• Strong knowledge of data and digital technologies
• Tech-savvy
• Eagerness to deepen understanding of data/AI domain
• Strong quantitative skills
• Strong analytical skills
• Ability to draw insights from data
• Analytical mindset
• Comfort with data-driven analysis for decision making
• Excellent written communication skills
• Excellent 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
• Enjoyment of liaising with clients
• Mandatory fluency in German (written and spoken)
• Mandatory fluency in English (written and spoken)
• French language skills (strong plus)
• Eligibility to work in Switzerland
• Motivation
• Pragmatic problem-solving skills
• Potential
• Passion for driving the AI revolution

Tasks

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

Work Experience

Education

Languages

Tools & Technologies