Strategy & Solutions Lead

In this role you will incubate and validate new growth opportunities at the intersection of AI, data, product, and pharma customers. You will translate ambiguous enterprise demand into scalable solution plays and guide executive decisioning, then hand validated plays to BAU teams. You’ll collaborate with R&D, Commercial, and data/tech groups to shape partnerships, solution architecture, and product decisions. This is an autonomous, high-impact role shaping how we extend our platform into new territory and workflows. Join a mission to accelerate scientific breakthroughs for biomedicine with a cutting-edge knowledge platform.

• Own intake and shaping of strategic enterprise opportunities requiring new capabilities, integrations, or packaging
• Drive executive decisioning on pursuing, parking, or declining opportunities with clear rationale and implications
• Maintain separation between incubation work and BAU, engaging the team only when new developments are needed
• Lead senior R&D and commercial discussions to translate demand into scalable solution paths
• Ground discovery in pharma R&D and commercial workflows to define target state and success criteria
• Translate ambiguous asks into a defined solution concept with scope, sequencing, risks, and commitments
• Shape commercial framing and scalability, clarifying standard vs configurable vs investment-required components
• Collaborate on technical solution design with architecture, data, IT, and AI teams, moving beyond high-level positioning
• Drive solution design for new plays, including data flows, security, deployment, and deployment with engineering teams
• Assess technical feasibility early, identifying data risks and what can be configured vs built
• Shape and evaluate technology partnerships and joint solution design
• Represent platform and roadmap credibly in executive and technical forums
• Build repeatable solution playbooks anchored in R&D and commercial workflows
• Define offering definitions, qualification criteria, scoping templates, and delivery blueprints
• Productize complex offerings (Private Data, enterprise integrations, AI workflows on customer data) with governance and rollout pathways
• Partner with Product, Engineering, and Data to define feasibility and surface investment recommendations
• Co-sponsor lighthouse opportunities with Sales to validate new plays
• Orchestrate pilot design and governance to ensure transferability to BAU
• Drive clean handoff of validated plays into BAU with training and ownership clarity
• Maintain feedback loops into Product on candidates, investments, and constraints

• 7+ years at pharma/life sciences strategy, AI and data with senior stakeholder engagement
• Background in life science strategy or AI consulting at Engagement Manager / Associate Partner level or enterprise solutions in B2B SaaS for pharma/biotech
• Deep understanding of end-to-end pharma R&D and commercial workflows and AI-enabled transformation
• Hands-on experience building, deploying, or integrating enterprise tech solutions (data platforms, AI/LLM apps, API integrations)
• Ability to read and challenge solution architectures and data pipelines; familiarity with AI/LLM systems (RAG, agentic workflows, knowledge graphs)
• Experience turning bespoke enterprise demand into repeatable playbooks (scoping, pilots, BAU handoff)
• Strong judgment for pursue/park/decline decisions based on feasibility, scalability, and business impact
• Comfort with executive decisioning across Product, Engineering, and GTM and translating trade-offs into business choices

• strong communication with senior stakeholders
• strategic thinking and business judgment
• cross-functional collaboration
• data platforms
• APIs and system integrations
• AI/GenAI concepts and LLM applications