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Elsevier

Global STM publisher of journals.

A&G Product Solution Architect

Pre-Sales Solution EngineeringConfirmed live in the last 24 hours
Full-timeNo salary listedIn-person

About the Job

Requirements

  • At least 8 years of experience in software architecture, solution design, or technical consulting.
  • At least 3 years of experience in B2B/B2I pre-sales, pre-deal, or early-stage technical engagement roles.
  • A bachelor's degree or higher in Computer Science, Software Engineering, or a related field.
  • Strong understanding of software engineering, architecture, system design, testing, and operation.
  • Proficiency in solution architecture design and architecture modelling methods.
  • Proficiency in Python, Java, and scripting.
  • Proficiency in designing scalable ETL/ELT pipelines.
  • Proficiency in Snowflake for data warehousing.
  • Experience evaluating trade-offs between data lake, data warehouse, and lakehouse approaches in customer integration solution design.
  • Experience with data lineage tracking, metadata management, and data classification, especially for China regulation compliance and enterprise governance.
  • Proficiency in integrating streaming data solutions with Databricks, Spark, and Kafka for data processing.
  • Expertise in API design and integration with third-party systems via authentication frameworks.
  • Experience with cloud data platforms and hands-on programmatic data transformation.
  • Experience with deployment and operation on cloud platforms available in China, such as AWS or Alibaba Cloud.
  • Strong technical documentation skills, including architecture documents, solution white papers, and POC reports.
  • Familiarity with data visualization tools such as Tableau and Power BI.
  • Experience with AI/LLM application design, integration, deployment, and operation.
  • Expertise in MCP and agent-integration protocol implementation, including customization and compliance needs.
  • Experience deploying applications in cloud-native architectures and containerization in cloud.
  • Familiarity with data quality frameworks and data observability tooling.
  • Familiarity with China's Cybersecurity Law, Personal Information Protection Law, Data Export Security Assessment regulations, and global GDPR compliance requirements in content access scenarios.
  • Knowledge of content security controls, including DRM, dynamic watermarking, and access-permission engines.
  • Knowledge of enterprise data cataloguing solutions.
  • Strong problem-solving and analytical thinking.
  • Strong communication and stakeholder management skills.
  • Ability to translate business needs into technical solutions.
  • Ability to collaborate across cross-functional teams.
  • Ability to work independently and manage priorities.
  • Experience working in a global corporation.
  • Ability to learn new technologies.
  • Strong business acumen and strategy alignment mindset.
  • Customer-oriented and results-driven mindset.
  • Bilingual Chinese-English communication skills for technical proposals, architecture reviews, cross-timezone meetings, customer communication, and business facilitation.
  • Ability to explain complex technical concepts in business-understandable language and deliver technical presentations to customers, sales teams, product managers, and senior leadership.
  • Ability to collaborate across time zones and independently organize and lead technical review meetings with global teams and customers.

Responsibilities

  • Engage with customers at early sales stages to understand business goals, technical constraints, and IT status.
  • Lead solution investigation, technical requirement decomposition, and feasibility assessment.
  • Translate business problems into executable technical solution options and architecture documentation.
  • Understand customer-side system architectures, data governance frameworks, and regulatory constraints.
  • Design integration pathways for Elsevier products in China-specific scenarios.
  • Lead LLM application architecture and design, and evaluate local ecosystems' interfaces with Elsevier AI solutions.
  • Design data integration between Elsevier products and customer systems.
  • Ensure proposals are viable within China-specific network, cloud, and data-residency constraints.
  • Ensure compliance with China regulatory requirements, including the Cybersecurity Law and PIPL.
  • Provide technical cost and implementation-complexity assessments to support business case development.
  • Provide solution-level technical input into RFQ and proposal processes.
  • Contribute to China GTM technical strategy, including API monetisation and data-as-a-service opportunities.
  • Use rapid prototyping methods and tools to accelerate validation cycles with stakeholders.
  • Lead the design and execution of technical POCs and early demos.
  • Ensure demo outcomes stay within product capability boundaries while supporting business decisions.
  • Collaborate with cross-functional teams and stakeholders on business initiatives, projects, and operations.
  • Maintain alignment with global architecture standards and best practices.
  • Maintain documentation for architecture, design, proposals, and workflows.
  • Participate in architecture governance and collaborate with the team to surface risks and refine solutions.
  • Coach local engineering team members on architecture best practices.
  • Develop understanding of China's research market AI transition and influence customers' technical planning.
  • Support collaboration across Chinese research institutions for new requirement gathering and risk prediction.
  • Track China's AI research tools landscape and support technically informed positioning of Elsevier solutions.

Desired Qualifications

  • Experience in academic publishing, knowledge services, or controlled research-content industries.
  • Familiarity with academic standards, publishing workflow, and research data exchange protocols.
  • AWS Solutions Architect Professional, Alibaba Cloud ACE, TOGAF, or equivalent architecture certifications.
  • Experience designing Content-as-a-Service or AI-enabled academic platforms for research institutions.
  • Knowledge of Elsevier product lines, AI solutions, and service models.
  • Deep understanding of data modelling, knowledge graphs, and semantic technologies at algorithm level.
  • Experience applying Bronze/Silver/Gold medallion architecture in academic and research-data scenarios.
  • Working experience with Tableau for automated interactive dashboards, data stories, and embedded analytics.
  • Ability to advise customers on self-service analytics architecture and dashboard design best practices.
  • Experience participating in security architecture reviews or Privacy Impact Assessments.

About the Company

Elsevier

Global STM publisher of journals.

Elsevier provides scientific, medical, and technical content and analytics to researchers, educators, clinicians, and institutions worldwide through journals, books, databases, and digital platforms. It operates by offering access to peer-reviewed articles and professional literature via online platforms, along with tools for discovery, citation tracking, research management, and clinical decision support. Unlike other publishers, Elsevier combines a broad portfolio of STM content with integrated analytics and workflow tools, serving researchers, healthcare professionals, and academic institutions on a global scale. Its goal is to enable the advancement of knowledge and improve health outcomes by delivering reliable, accessible information and data-driven solutions across the research lifecycle.

Company size
10,001+
Company stage
Not listed
Total funding
Not listed
Headquarters
Amsterdam, Netherlands
Founded
1880

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