Presales Technical Consultant
Elsevier · United States
- Hybrid
- Full-time
- $151,100 / year
- United States
Job highlights
- Lead presales technical engagements for data solutions.
- Demonstrate AI, ontologies, and analytics capabilities.
- Collaborate with sales and customer teams globally.
- Drive revenue growth through technical expertise.
- Requires strong technical and customer-facing skills.
About the role
About the Role: Presales Technical Consultant at Elsevier
Elsevier is seeking a motivated Presales Technical Consultant to join its Advanced Data Solutions team. In this role, you will be instrumental in driving revenue growth by partnering with Sales to articulate the value of Elsevier’s data and software solutions, particularly Datasets and SciBite. You will serve as the technical authority throughout the sales cycle, understanding customer needs, demonstrating solution capabilities, and translating complex technical features into tangible business outcomes.
Key Responsibilities:
- Presales Solution Leadership: Develop and maintain deep expertise in Elsevier’s offerings, including datasets, semantic technology, ontology management, and analytics.
- Technical Discovery: Lead in-depth technical discovery sessions to comprehend customer objectives, analytical workflows, and data landscapes. Translate business and scientific challenges into data-driven use cases and compelling value narratives.
- Solution Design & Demonstration: Design and deliver customized solution demonstrations that highlight how Elsevier's data and software empower insights, analytics, AI/ML readiness, and knowledge graph construction.
- Proposal & PoC Support: Scope and prepare solution proposals, support proof of concepts (PoCs), technical evaluations, and pilots to validate solution fit and value. Clearly articulate technical trade-offs, assumptions, and dependencies.
- Trusted Technical Advisor: Act as a trusted advisor throughout the sales cycle, supporting account strategy, solution positioning, and competitive differentiation.
- Cross-functional Alignment: Collaborate with Product, Post-Sales, and Professional Services teams to ensure solution feasibility and smooth customer implementation.
- Market Insights: Gather customer feedback and market insights to inform product positioning, roadmap priorities, and go-to-market strategies in partnership with Product and Marketing.
Requirements:
- Technical Skills: Strong understanding of data-driven analytics workflows (ingestion, enrichment, integration, insight generation). Working knowledge of Generative AI, NLP, ontologies, taxonomies, and knowledge graphs. Deep understanding of cloud and technical ecosystems (e.g., AWS, REST APIs, SFTP, HTTP, OAuth, Docker, Python).
- Customer-Facing Skills: Proven experience delivering technical demonstrations and presentations to diverse stakeholders. Excellent communication, storytelling, and stakeholder-management skills. Confidence in leading complex technical discussions and navigating challenging customer conversations.
- Domain Experience: Master’s or PhD in a science or technology field, or equivalent practical experience. Experience in pharmaceutical, life sciences, engineering, or other data-intensive enterprise environments. Understanding of data and software in research, analytics, and decision-making is highly desirable.
- Travel: Willingness to travel to customer sites and industry events as required.
About the Team:
This role is part of Elsevier’s Advanced Data Solutions team, focused on selling and enabling customer implementations of data and software solutions, with a specialization in Datasets and SciBite. The team works closely with Sales, post-sales, and Professional Services to support enterprise customer engagements globally. Our solutions are utilized by top pharmaceutical companies and other data-driven organizations.
Key skills/competency:
- Presales Technical Consultant
- AI and Machine Learning
- Ontologies and Knowledge Graphs
- Advanced Analytics
- Data Solutions
- Semantic Technology
- Customer Engagement
- Technical Sales
- Cloud Ecosystems
- Pharmaceutical & Life Sciences Data
Skills & topics
- Presales Technical Consultant
- AI
- Ontologies
- Advanced Analytics
- Data Solutions
- Semantic Technology
- Customer Engagement
- Technical Sales
- Cloud Ecosystems
- Pharmaceutical Data
- Life Sciences
- Generative AI
- NLP
- Knowledge Graphs
- AWS
- Python
- Technical Demonstrations
- Solution Architecture
- Value Proposition
- Enterprise Sales
How to get hired
- Tailor your resume: Highlight experience with AI, ontologies, advanced analytics, and presales technical consulting, using keywords from the Elsevier job description.
- Showcase customer-facing skills: Prepare examples of successful technical demonstrations, presentations, and complex technical discussions.
- Quantify achievements: Include specific examples of how your technical expertise drove customer insight or revenue growth in previous roles.
- Research Elsevier's solutions: Understand Datasets, SciBite, and their applications in pharma and life sciences to tailor your application and interview responses.
- Prepare for technical interviews: Be ready to discuss your experience with data-driven analytics workflows and cloud ecosystems.
Technical preparation
Master advanced analytics and data workflows.,Study Generative AI, NLP, ontologies, knowledge graphs.,Gain proficiency in cloud ecosystems (AWS, APIs).,Practice explaining complex technical concepts clearly.
Behavioral questions
Describe a challenging customer technical discussion.,How do you translate business needs to data use cases?,Share an example of a successful technical demo.,How do you stay updated on new AI technologies?
Frequently asked questions
- What are the key technical skills for the Presales Technical Consultant role at Elsevier?
- The role requires a strong understanding of data-driven analytics workflows, including data ingestion, enrichment, integration, and insight generation. Knowledge of Generative AI, NLP, ontologies, taxonomies, and knowledge graphs is crucial. Additionally, a deep understanding of cloud and technical ecosystems like AWS, REST APIs, SFTP, HTTP, OAuth, Docker, and Python is expected for this Presales Technical Consultant position at Elsevier.
- What kind of customer-facing experience is expected for this Presales Technical Consultant position at Elsevier?
- Elsevier is looking for candidates with proven experience delivering technical demonstrations and presentations to both technical and non-technical stakeholders. Excellent communication, storytelling, and stakeholder-management skills are vital. The ability to confidently lead complex technical discussions and navigate challenging customer conversations is a key requirement for the Presales Technical Consultant role.
- What is the expected educational background for the Presales Technical Consultant at Elsevier?
- Ideally, candidates should possess a Master's or PhD in a science or technology field, or have equivalent practical experience. Experience working within pharmaceutical, life sciences, engineering, or other data-intensive enterprise environments is highly valued for this Presales Technical Consultant role.
- How does the Presales Technical Consultant role contribute to Elsevier's business goals?
- As a Presales Technical Consultant at Elsevier, you will play a critical role in driving revenue growth. You will partner with the Sales team to position Elsevier’s data and software solutions, acting as the technical authority to showcase how they enable customer insight and advanced analytics, directly impacting business growth.
- What are Elsevier's Datasets and SciBite offerings mentioned for the Presales Technical Consultant?
- Elsevier's Advanced Data Solutions team, which includes the Presales Technical Consultant role, focuses on offerings like Datasets and SciBite. These solutions provide customers with data and software to drive insights and advanced analytics, critical for industries like pharmaceuticals and life sciences.