Elsevier→
Technical Consultant (Pre-Sales) at Elsevier in Remote
Skills
Job Description
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.
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 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
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 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.
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:
- 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
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.


Primary Location Base Pay Range: Home based-Ohio $77,300 - $143,500. Total Target Cash Range: $119,000 - $221,000. Pay mix between base and variable pay varies based on sales role; please discuss with the recruiter.

U.S. National Base Pay Range: $81,400 - $151,100. Total Target Cash Range: $125,300 - $232,700. Geographic differentials may apply in some locations to better reflect local market rates.

Base Pay Range for CO is $81,400 - $151,100. Total Target Cash Range for CO is $125,300 - $232,700. Base Pay Range for IL is $85,500 - $158,600. Total Target Cash Range for IL is $131,500 - $244,300. Base Pay Range for Chicago, IL is $89,600 - $166,200. Total Target Cash Range for Chicago, IL is $137,800 - $255,900. Base Pay Range for MD is $85,500 - $158,600. Total Target Cash Range for MD is $131,500 - $244,300. Base Pay Range for NY is $89,600 - $166,200. Total Target Cash Range for NY is $137,800 - $255,900. Base Pay Range for New York City is $97,700 - $181,300. Total Target Cash for New York City is $150,300 - $279,200. Base Pay Range for Rochester, NY is $81,400 - $151,100. Total Target Cash Range for Rochester, NY is $125,300 - $232,700. Base Pay Range for OH is $77,300 - $143,500. Total Target Cash Range for OH is $119,000 - $221,000. Base Pay Range for NJ is $98,483 - $157,317. Total Target Cash Range for NJ is $151,690 - $242,310.
Pay mix between base and variable pay varies based on sales role; please discuss with the recruiter.

Application deadline is 05/30/2026.

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