Technical Consultant (Pre-Sales)

Elsevier

3d•Remote

About The Position

Do you want to lead impactful presales engagements where your knowledge of AI, ontologies, and advanced analytics directly drives customer insight and business growth? About the 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.

Requirements

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

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 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

Benefits

We promote a healthy work/life balance across the organization.
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.
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:
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