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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in shaping strategic enterprise opportunities within pharma and life sciences, leveraging AI and data to drive scalable solutions. Proven ability to lead high-stakes discussions with senior stakeholders and translate complex demands into actionable playbooks and integration strategies.
Highest-signal resume keywords
Pharma R&D WorkflowsAI Consulting ExperienceEnterprise Technology IntegrationExecutive Decision-MakingData Privacy Compliance
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Solution ArchitectureData Pipeline ReasoningAPI IntegrationEnterprise Technology DeploymentRetrieval-Augmented GenerationKnowledge GraphsIntegration PatternsScalable Solution DesignPlaybook DevelopmentData Risk Evaluation
Soft Skills
Judgment on Opportunity PursuitStakeholder EngagementCommunication SkillsLeadership in DiscussionsCollaboration with Cross-Functional Teams
Tools & Technologies
AI SystemsLLM SystemsIntegration ToolsData ModelsCustomer Architecture
Industry Keywords
Life Sciences StrategyB2B SaaSMarket PositioningTechnology PartnershipsGxP Compliance
About the role
Key responsibilities & impact- Own intake and shaping of strategic enterprise opportunities requiring new capabilities, integrations, packaging, or market positioning
- Drive executive decisions on whether to pursue, park, or decline opportunities
- Lead high-stakes discussions with senior pharma R&D and commercial stakeholders
- Ground discovery in customer workflows and decision points to define target state, success criteria, and constraints
- Translate ambiguous asks into solution concepts and delivery paths
- Shape expectations and commercial framing for scalable commitments
- Work with customer architecture, data, IT, and AI teams on platform capabilities, APIs, data models, and integration patterns
- Drive solution design covering integrations, data flows, security, and deployment models
- Partner with Engineering and Data through build, testing, and deployment without writing production code
- Evaluate technical feasibility, integration risks, data risks, configuration needs, and build effort
- Shape and evaluate technology partnerships
- Represent Causaly’s platform and roadmap in executive and technical forums
- Build repeatable solution playbooks, including offering definitions, qualification criteria, scoping templates, delivery blueprints, reference architectures, and enablement assets
- Standardize Private Data, enterprise integrations, and AI workflows into productized motions
- Co-sponsor lighthouse opportunities with Sales to validate new solution plays
- Orchestrate pilot design, governance, and decisioning for transferable and repeatable outcomes
- Drive handoff of validated plays into Sales, Customer Success, Delivery, and Product
- Maintain feedback loops into Product on product candidates, investments, and enterprise constraints
Requirements
What you’ll need- 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 and shaping ambiguous asks into scalable solutions
- Life science strategy or AI consulting experience at Engagement Manager / Associate Partner level, or enterprise Solutions / Solutions Strategy experience in B2B SaaS serving pharma and biotech
- Deep understanding of end-to-end pharma R&D and commercial workflows and related decisions
- Hands-on experience building, deploying, and/or integrating enterprise technology solutions
- Ability to read and challenge solution architectures and reason through data pipelines, APIs, integration patterns, AI and LLM systems
- Experience with retrieval-augmented generation, agentic workflows, and knowledge graphs
- Experience turning complex enterprise demand into repeatable playbooks
- Strong judgment on pursue / park / decline recommendations
- Comfort driving executive decision-making across Product, Engineering, and GTM
- Scientific or quantitative background is nice to have
- Experience on AI or GenAI programs in pharma is nice to have
- Prior technical experience is nice to have
- Familiarity with GxP, data privacy, and information security reviews is nice to have
- Exposure to market expansion, new segment GTM, technology partnerships, or solution incubation is nice to have
- Must be able to commit to working in the office 4 days per week
- USA visa sponsorship question included in the application
Benefits
Comp & perks- Equity
- Bonus
- Hybrid work arrangement with 4 days in the office per week