Pre-Sales Data & AI Solutions Architect

Elsevier; Charlotte (NC); On-site; USD 72,000 - 120,000; Full time

Benefits offered by this job

Health benefits

401(k) with match

Wellbeing platform

PTO & parental leave

Job summary

Elsevier is seeking a Technical Consultant (Pre-Sales) for Advanced Data Solutions in a全球 role focused on driving revenue through technical discovery, use-case shaping, and demonstrations across North America, EMEA, and APAC. You will lead data-driven storytelling, build trusted architectures, and partner with Sales to position Elsevier data and AI offerings.

Travel to customer sites will be required. You will work with product, professional services, and marketing to ensure feasible, scalable

Qualifications

• This role requires deep understanding of data-driven analytics workflows, including data ingestion, enrichment, integration, and insight generation.
• Working knowledge of Generative AI and LLM-based solutions (RAG, prompt design, agentic workflows, evaluation, and responsible AI) and of NER, ontologies, taxonomies, and knowledge graphs.
• Working knowledge of cloud ecosystems (e.g., AWS, REST APIs, SFTP, OAuth, Docker, Python) and AI platforms, tooling, and integration patterns (LLM APIs, MCP).
• A degree in a science, technology, or data field (Master's or PhD advantageous), or equivalent practical experience.
• Experience in data-intensive enterprise environments; life sciences experience desirable but not essential, with willingness to learn scientific domains.
• Understanding of how data and software support research, analytics, and decision-making is highly valued.
• 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 customer conversations.
• Able to travel to customer sites and industry events as required.

Responsibilities

• Develop and maintain expertise in Elsevier's solutions, including curated datasets, data APIs and integration options, MCP servers, AI agents, and SciBite semantic solutions, and how these combine to give customers' analytics and AI applications trusted access to Elsevier data and deliver 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-powered workflows and agents, 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.
• Stay current with developments in AI (e.g., LLMs, agentic workflows, and responsible AI) and advise customers on how to apply them with Elsevier data, while using AI tools to improve the speed and quality of pre-sales work such as demos, proposals, and PoCs.

Skills

Generative AI

LLM

Data analytics

AWS

REST APIs

Docker

Python

Education

Master's or PhD in science/tech/data

Tools

Docker

Python

AWS

REST APIs

Job description

Elsevier is seeking a Technical Consultant (Pre-Sales) for Advanced Data Solutions in a全球 role focused on driving revenue through technical discovery, use-case shaping, and demonstrations across North America, EMEA, and APAC. You will lead data-driven storytelling, build trusted architectures, and partner with Sales to position Elsevier data and AI offerings.

Travel to customer sites will be required. You will work with product, professional services, and marketing to ensure feasible, scalable