データソリューションを提供する世界的企業で働くことに興味はありますか？
プリセールスにおいて技術的な知見を提供する役割に魅力を感じますか？
【チームについて】
本ポジションは Elsevier の Advanced Data Solutions チームに所属し、Datasets や SciBite を中心としたデータ／ソフトウェアソリューションの販売および導入支援を担当します。
プリセールスのテクニカルコンサルタントは、グローバルのプリセールスディレクターにレポートしつつ、北米・EMEA・APAC（主に日本）を対象とした地域連携型の役割を担います。営業、ポストセールス、プロフェッショナルサービスチームと密接に連携し、エンタープライズ顧客との取り組みを支援します。
当社のソリューションは、世界トップ20の製薬企業をはじめ、データドリブンな分析が重要なさまざまな業界で導入されています。
【役割について】
テクニカルコンサルタント（プリセールス）として、営業チームと協力し、Elsevier のデータ／ソフトウェアソリューションおよび分析機能を顧客の意思決定を支える価値として提案することで、収益成長に貢献します。
営業プロセス全体における技術的な要となり、顧客の課題ヒアリング、データ活用ユースケースの構築、ソリューションデモの実施を通じて、Elsevier の製品が高度な分析、ナレッジグラフ、AI ワークフローをどのように実現するかを示します。
本ポジションはプリセールス活動が中心ですが、ポストセールス、プロフェッショナルサービス、プロダクトチームと連携し、提案内容が実現可能でスケーラブルであることを確認します。
成功の鍵は、①強固な技術基盤、②深いドメイン理解、③優れた顧客対応力の3つです。これらにより、データとソフトウェアの価値を成果につながるソリューションとして伝えることができます。
【主な業務内容】
＜プリセールスソリューションリード＞
・Elsevier のデータセット、セマンティック技術、オントロジー管理、分析機能などの深い専門知識を習得・維持する
・顧客の目的、分析ワークフロー、データ環境、成功基準を理解するための技術的ディスカバリーを主導し、課題をデータドリブンなユースケースやソリューションアーキテクチャに落とし込む
・顧客に合わせたデモを設計・実施し、データとソフトウェアがどのように洞察を生み出すかを示す（例：分析、AI/ML準備、ナレッジグラフ構築など）
・PoC、技術評価、パイロットの支援を含むソリューション提案を作成し、技術的前提条件や依存関係を明確に説明する
・営業プロセス全体を通じて信頼される技術アドバイザーとして、アカウント戦略や競合差別化を支援する
＜クロスファンクショナル連携＞
・ポストセールス、プロフェッショナルサービスと協力し、提案内容の実現可能性を検証し、スムーズな導入とアカウント拡大を支援する
・顧客フィードバックや市場インサイトを収集し、プロダクトやマーケティングと連携して製品戦略やロードマップに反映する
【応募要件】
＜言語＞
・日本語：ビジネス／ネイティブレベル（必須）
・英語：ビジネスレベル（必須）
・中国語：あれば尚可
＜技術スキル＞
・データインジェスト、エンリッチメント、統合、洞察生成など、データ分析ワークフローの深い理解
・生成AI、NLP、オントロジー、タクソノミー、ナレッジグラフの基礎知識と実務での応用理解
・クラウドおよび技術エコシステムの理解（例：AWS、REST API、SFTP、HTTP、OAuth、Docker、Python など）
＜顧客対応スキル＞
・技術デモやプレゼンテーションの実施経験（技術者／非技術者双方向け）
・優れたコミュニケーション力、ストーリーテリング力、ステークホルダー管理能力
・複雑な技術議論をリードし、不明瞭な状況でも顧客と対話できる能力
・必要に応じて顧客訪問や業界イベントへの出張が可能であること
＜ドメイン経験・学歴＞
・科学または技術分野の修士号／博士号、または同等の実務経験
・製薬、ライフサイエンス、エンジニアリング、その他データ集約型企業での経験
・研究、分析、意思決定を支えるデータ／ソフトウェア活用の理解があれば尚可
【働き方】
・柔軟な勤務時間制度を導入し、ワークライフバランスを重視
・ウェルビーイニシアチブ、育児休暇、学習支援、サバティカル制度などを提供
・長期的なキャリア形成と幸福を支援
【会社概要】
Elsevier は情報・分析分野のグローバルリーダーとして、研究者や医療専門家の科学発展と健康成果向上を支援しています。膨大なデータと高品質な情報を活用し、研究、教育、医療実務を支えるソリューションを提供しています。あなたの仕事は、社会課題の解決と持続可能な未来の実現に貢献します。
私たちと一緒に働きませんか？
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English
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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!
We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.
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What We Do
Elsevier is a world-leading provider of information solutions that enhance the performance of science, health, and technology professionals, empowering them to make better decisions, and deliver better care. Because informed decisions lead to better outcomes, Elsevier is a leader in information and analytics for customers across the global research and health ecosystems. Elsevier helps researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. We do this by facilitating insights and critical decision-making for customers across the global research and health ecosystems.
