Do you want to lead impactful presales engagements where your knowledge of AI, ontologies, and advanced analytics directly drives customer insight and business growth?
Are you a strong communicator with a technical background?
About our Team
This role sits within Elsevier’s Advanced Data Solutions team, which is responsible for selling and enabling customer implementations of Elsevier’s data and software solutions, with a particular focus on the Datasets and SciBite offerings.
Technical Consultants (Pre-Sales) report to the global Director of Technical Consulting (Pre-Sales) while operating in regionally aligned roles, with ownership across North America, EMEA, and APAC (primarily Japan). The team partners closely with Sales, post-sales, and Professional Services teams to support enterprise customer engagements.
Our solutions are already deployed within the world’s top 20 pharmaceutical companies, as well as organizations across other verticals where data-driven insight and advanced analytics are critical.
About the Role
As a Technical Consultant (Pre-Sales), you will play a critical role in driving revenue growth by partnering with Sales to position Elsevier’s data and software solutions, and analytics capabilities as enablers of customer insight and decision-making. You will act as the technical authority throughout the sales cycle – driving discovery, defining data use cases, and showcasing how Elsevier’s solutions power advanced analytics, knowledge graphs, and AI workflows.
Success in this role is built on three pillars – a strong technical foundation, deep domain understanding, and exceptional customer-facing skills – enabling you to translate data and software capabilities into compelling, outcome-driven solutions.
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 Professional services 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
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
Work in a way that works for you:
We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals.
Working for you:
We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:
● Generous holiday allowance with the option to buy additional days
● Health screening, eye care vouchers and private medical benefits
● Wellbeing programs
● Life assurance
● Access to a competitive contributory pension scheme
● Save As You Earn share option scheme
● Travel Season ticket loan
● Electric Vehicle Scheme
● Optional Dental Insurance
● Maternity, paternity and shared parental leave
● Employee Assistance Programme
● Access to emergency care for both the elderly and children
● RECARES days, giving you time to support the charities and causes that matter to you
● Access to employee resource groups with dedicated time to volunteer
● Access to extensive learning and development resources
● Access to employee discounts scheme via Perks at Work
About the business:
A global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education and interactive learning, as well as exceptional healthcare and clinical practice. What you do every day will help advance science and healthcare to advance human progress.
We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.
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Elsevier London, England Office
125 London Wall, London, United Kingdom
