Are you interested in joining a renowned global company with Data Solutions?
Does the idea of providing technical knowledge to pre-sales excite you?

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 – leading discovery, shaping data-driven use cases, and demonstrating how Elsevier's offerings can be combined to power advanced analytics, knowledge graphs, and AI-enabled workflows.

This role focuses mainly on pre-sales activities, with close collaboration across post-sales, professional services, and product teams to ensure proposed solutions are technically feasible, scalable, and aligned with real-world delivery and adoption.

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
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
Cross-functional alignment
Validate solution feasibility in collaboration with 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
Languages

Japanese:
Professional/Native proficiency (required)


English:
Professional (required)

Chinese:
Proficiency is desirable but not required
Technical skills
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.)
Customer facing skills
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
Domain experience & education
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 flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive

Working for you
We know that your well-being and happiness are key to a long and successful career.

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.

At Elsevier, your work contributes to the world's grand challenges and a more sustainable future. We harness innovative technologies to support science and healthcare to partner for a better world.

Come Join us
Show more Show less

---