Pre-sales solution leadership
Develop and maintain deep expertise in Elsevier’s solutions including datasets, semantic technology, ontology management and analytics capabilities, including how they combine to deliver customer insights
Lead technical discovery to understand customer objectives, analytical workflows, data landscapes, and success criteria, translating business and scientific challenges into data-driven use cases, solution architectures, and value narratives
Design and deliver tailored solution demonstrations showcasing how Elsevier data and software enable insights (e.g., discovery, analytics, AI/ML readiness, and knowledge graph construction)
Scope and prepare solution proposals, and support proof of concepts (PoCs), technical evaluations, and pilots to validate solution fit and value, clearly articulating technical trade-offs, assumptions, and dependencies across data, software, and services
Act as a trusted technical advisor throughout the sales cycle, supporting account strategy, solution positioning, and competitive differentiation
Validate solution feasibility in collaboration with Product, Post-Sales and teams to ensure smooth delivery, adoption, and account growth and expansion
Capture customer feedback and market insights to inform product positioning, roadmap priorities, and go-to-market strategy in partnership with Product and Marketing teams

Requirements

Master’s or PhD in a science or technology field, or equivalent practical experience
Strong understanding of data-driven analytics workflows, including data ingestion, enrichment, integration, and insight generation
Working knowledge of Generative AI, NLP, ontologies, taxonomies, and knowledge graphs, and how these are applied to real-world analytical use cases
Deep understanding of cloud and technical ecosystems (e.g., AWS, REST APIs, SFTP, HTTP, OAuth, Docker, Python etc.)
Proven experience delivering technical demonstrations and presentations to both technical and non-technical stakeholders
Excellent communication, storytelling, and stakeholder-management skills
Confidence leading complex technical discussions and navigating challenging or ambiguous customer conversations
Willingness to travel to customer sites and industry events as required

Benefits

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Applicant Tracking System Keywords

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Hard Skills & Tools

data-driven analytics workflowsdata ingestiondata enrichmentdata integrationinsight generationGenerative AINLPontologiestaxonomiesknowledge graphs

Soft Skills

communicationstorytellingstakeholder managementleading technical discussionsnavigating customer conversations

Certifications

Master’s degreePhD