Strategy & Solutions Lead

The role

The Strategy and Solutions Lead will incubate and validate new growth opportunities at the intersection of AI, data, product, and pharma or biotech customers. This person will turn ambiguous enterprise demand into scalable, repeatable solution plays and drive executive decision-making.

What you will do

• Own intake and shaping of strategic enterprise opportunities
• Drive executive decisioning on whether to pursue, park, or decline opportunities
• Lead discussions with senior pharma R&D and commercial stakeholders
• Translate ambiguous asks into solution concepts and delivery paths
• Work with customer architecture, data, IT, and AI teams on solution design
• Drive solution design for new plays including integration, data flows, and security
• Shape and evaluate technology partnerships
• Build repeatable solution playbooks including offering definition and use cases
• Co-sponsor lighthouse opportunities with Sales to validate new solution plays
• Drive clean handoff of validated plays into BAU teams

Required qualifications

• 7+ years experience at the intersection of pharma or life sciences strategy, AI and data, and enterprise customers
• Track record of leading discussions with senior R&D and commercial stakeholders
• Experience shaping ambiguous asks into scalable solutions
• Background in life science strategy or AI consulting at Engagement Manager / Associate Partner level with ownership of AI or data programmes
• OR Enterprise Solutions / Solutions Strategy roles in B2B SaaS serving pharma and biotech
• Deep understanding of end-to-end pharma R&D and commercial workflows
• Hands-on experience building, deploying, and/or integrating technology solutions in enterprise settings
• Ability to read and challenge solution architectures and reason through data pipelines, APIs, and integration patterns
• Understanding of how AI and LLM systems are built and evaluated
• Experience turning complex enterprise demand into repeatable playbooks
• Strong judgement in making and defending pursue / park / decline recommendations
• Comfort driving executive decisioning across Product, Engineering, and GTM

Nice to have

• Scientific or quantitative background (e.g. advanced degree in life sciences, engineering, or a related field)
• Experience on AI or GenAI programmes in pharma, from use-case definition through to scaled deployment
• Prior experience in a technical capacity (e.g. forward deployed engineer, data scientist, software engineer, technical product manager)
• Familiarity with enterprise data governance in regulated environments (e.g. GxP, data privacy, information security reviews)
• Exposure to market expansion, new segment GTM, technology partnerships, or solution incubation

About the company

Causaly is building a biomedical knowledge platform powered by a Knowledge Graph and GenAI capabilities. The platform is used by biopharmaceutical organizations to accelerate drug discovery and improve decision-making.