Elsevier · 17 hours ago
Technical Consultant (Pre-Sales)
Elsevier is a global leader in information and analytics, helping researchers and healthcare professionals advance science and improve health outcomes. As a Technical Consultant (Pre-Sales), you will drive revenue growth by partnering with Sales to position Elsevier’s data and software solutions, acting as the technical authority throughout the sales cycle.
ContentContent DiscoveryDeliveryHealth CareInformation ServicesInformation TechnologyPublishing
Responsibilities
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
Qualification
Required
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
Master's or PhD in a science or technology field, or equivalent practical experience
Experience working with pharmaceutical, life sciences, engineering, or other data-intensive enterprise environments
Understanding of how data and software are used to support research, analytics, and decision-making is highly desirable
Benefits
Health Benefits: Comprehensive, multi-carrier program for medical, dental and vision benefits
Retirement Benefits: 401(k) with match and an Employee Share Purchase Plan
Wellbeing: Wellness platform with incentives, Headspace app subscription, Employee Assistance and Time-off Programs
Short-and-Long Term Disability, Life and Accidental Death Insurance, Critical Illness, and Hospital Indemnity
Family Benefits, including bonding and family care leaves, adoption and surrogacy benefits Health Savings, Health Care, Dependent Care and Commuter Spending Accounts
In addition to annual Paid Time Off, we offer up to two days of paid leave each to participate in Employee Resource Groups and to volunteer with your charity of choice
Company
Elsevier
Elsevier is a world-leading provider of information solutions that enhance the performance of science, health, and technology. It is a sub-organization of RELX.
H1B Sponsorship
Elsevier has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (32)
2024 (17)
2023 (28)
2022 (46)
2021 (28)
2020 (19)
Funding
Current Stage
Late StageTotal Funding
unknown2003-09-01Private Equity
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