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RELX

A&G Product Solution Architect (China)

China - Beijing (Oriental Plaza) · China-Shanghai (Tianshan-W-Rd)

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hirly's read of this role

Seniority
Mid level
Country
CN
Work mode
On-site / unstated
First seen by hirly
3 Oct 2026

Derived automatically from the posting. Upload your resume above to see how the role scores against it.

the posting

  • Are you excited to design and operate large‑scale data platforms that power global research and innovation?
  • Do you enjoy collaborating across teams to build reliable, compliant, cloud‑based data solutions?
  • About our Team
  • Elsevier is a global information analytics company that helps institutions and professionals progress science, advance healthcare and improve performance for the benefit of humanity. We serve the research, academic, and clinical communities through the application of technology and analytics to content. Our portfolio of solutions brings together extensive Scientific, Technical and Medical content, powerful analytics, and technologies. We help our corporate customers, R&D professionals, engineers, scientists, and commercial marketing leaders, to innovate and commercialize ideas, products, and processes.

About the Role

This role is to lead early-stage technical engagement for Academic & Government (A&G) customers in China, and is responsible for definition and validation of technical solutions that specifically serve business targets. You will work as the "translation layer and solution convergence point" between Elsevier's global product portfolio and China A&G customer scenarios. This role focuses on pre-deal solution enablement, bridging business needs and technical feasibility for China-specific system integrations. You will shape solution direction before contract signing through technical analysis, solution definition, architecture design, AI/API integration planning, POCs, demos, technical feasibility assessments, and architecture documentation. You will drive the integration design across enterprise systems and third-party platforms. You will also act as a primary technical interface across customers, sales, products, and global architecture stakeholders. Through structured, front-loaded technical engagement, this position ensures high standards of quality, performance, and governance, while reducing late-stage rework and compliance misunderstandings. Overall, you will play a critical role in enabling global products’ integration with local solutions and serve China customers’ needs with scalability and extensibility.

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’s architecture and design and evaluate local ecosystems’ interface with Elsevier AI solutions

Design data integration between Elsevier products and customer systems

Ensure proposals are viable within China-specific constraints, including network, cloud and data residency

Ensure compliance with China regulatory requirements, including 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 method and tools to accelerate validation cycles with all 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 for 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 process and collaborate with team to surface risks and refine solutions

Coach local engineering team members on architecture best practices

Develop understanding of China research market’s AI transition, and influence customers’ technical planning

Support collaboration across Chinese research institutions for new requirement gathering and risk prediction

Track the China AI research tools landscape and support technically informed positioning of Elsevier solutions

Qualifications

8+ years of experience in software architecture, solution design, or technical consulting

3+ years of experience in B2B/B2I pre-sales, pre-deal, or early-stage technical engagement roles

Bachelor’s degree or above in Computer Science, Software Engineering, or a related field

Strong understanding of software engineering, architecture, system design, testing, and operation

Mandatory Skills

Proficiency in solution architecture design and architecture modelling methods

Proficiency in programming languages including Python, Java, and scripting

Proficiency in designing scalable ETL/ELT pipelines

Proficiency in Snowflake for data warehousing

Rich experience of evaluating trade-offs between data lake, data warehouse, and lakehouse approaches in customer integration solution design

Rich experience with data lineage tracking, metadata management, and data classification, especially for China regulation compliance and enterprise governance

Proficiency in integration of streaming data solution with Databricks, Spark and Kafka for data processing

Expert of API design and integration with 3rd pary systems via authentication frameworks.

Rich experience with cloud data platform and hands-on experience with programmatic data transformation

Rich experience with deployment and operation in China available cloud platforms (AWS, or Alibaba Cloud)

Strong technical documentation skills, including architecture documents, solution white papers, and POC reports

Familiarity with data visualization tools (Tableau, Power BI)

Rich experience with AI/LLM application design, integration, deployment and operation.

Expert of MCP and agent-integration protocol implementation with customization and compliance needs

Experience with application’s deployment in cloud-native architecture and containerization in cloud

Familiarity with data quality frameworks and data observability tooling

Familiarity with China 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

Soft Skills

Strong problem-solving and analytical thinking

Strong communication and stakeholder management skills

Strong capability of translating business needs into technical solutions

Strong collaboration in cross-functional teams

Strong capability of working independently and managing priorities

Rich experience working in global corporation

Strong learning capability for new technologies

Strong business acumen with strategy alignment mindset

Strong customer-oriented and results-driven mindset

Excellent bilingual Chinese-English communication skills, covering technical proposal, architecture review, cross-timezone meeting, customer communication, and business facilitation

Ability to translate complex technical concepts into business-understandable language and deliver high-quality technical presentations to customers, sales teams, product managers, and senior leadership

Cross-timezone collaboration capability and ability to independently organise and lead technical review meetings with global teams and customers

Optional Skills

Experience in academic publishing, knowledge services, or controlled research-content industries

Familiarity with academic standards, publ

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