Jobs at RELX

Develop and govern enterprise Salesforce solutions across Service Cloud and Experience Cloud, including Apex, LWC, integrations, data models, automation, and AI-powered Agentforce and Einstein capabilities. Translate stakeholder requirements into scalable designs, resolve complex technical issues, enforce development and compliance standards, and mentor junior engineers. Support testing, release management, platform research, and integrations with adjacent sales technology systems.

Designs, develops, and optimizes scalable ETL/ELT pipelines and data platforms using Azure Data Factory, Databricks, PySpark, Spark SQL, HPCC, and ECL. Ingests and transforms structured and semi-structured data from diverse sources, develops data models and optimized workloads, and collaborates with analysts, data scientists, and application teams to deliver secure, reliable solutions for analytics and operational needs.

Analyze and improve Salesforce Service Cloud and Experience Cloud processes, gather requirements, create user stories and acceptance criteria, and support agile delivery. Identify and evaluate AI and automation opportunities using Agentforce, Einstein, chatbots, and generative AI. Facilitate workshops, document processes, assess technical and business solutions, collaborate with development and QA teams, and advise senior stakeholders on responsible AI adoption.

Develops and maintains Salesforce solutions focused on Service Cloud, Experience Cloud, and AI-powered service capabilities. Responsibilities include designing Apex, Lightning Web Components, Flows, integrations, portals, and automation; implementing testing and governance practices; resolving technical issues; supporting release management; and collaborating with analysts, product owners, DevOps teams, and vendors. The role also evaluates Salesforce AI features such as Agentforce and Einstein to improve case management, self-service, and agent productivity.

Leads a team responsible for Scopus content completeness, quality, ingestion, production workflows, clustering, deduplication, corrections, and data governance. Oversees performance metrics, Power BI reporting, escalations, process improvement, automation, resource planning, and AI-enabled data literacy. Manages and develops Process/Data Specialists, coordinates with cross-functional stakeholders, and drives coverage-gap resolution, compliance, productivity, and continuous improvement.

Own the Workday HCM product strategy, roadmap, release governance, and adoption programs. Prioritize new functionality and AI capabilities, coordinate release readiness across HR and technology teams, develop business cases, define KPIs, and measure business value. The role partners with HR, analytics, legal, privacy, security, Workday, and other stakeholders to improve employee and manager experiences and guide responsible adoption of emerging capabilities.

Manage and configure Workday Talent and Performance modules, provide Tier III support, oversee performance review and talent processes, and drive system improvements. Partner with HR stakeholders on requirements, testing, reporting, release management, compliance, documentation, and training. Build reports and dashboards, maintain system integrity, analyze enhancements, and support global and local HR technology changes.

Configure, support, and optimize Workday HCM across global and local requirements. Gather HR business needs, build reports and dashboards, manage releases, enhancements, testing, change control, and system integrity. Serve as a functional consultant to stakeholders, support troubleshooting and process improvements, and provide documentation, training, and knowledge transfer to support teams.

Build and maintain scalable data integration systems, including web scrapers, API integrations, automated ingestion workflows, microservices, and backend services. Implement monitoring, logging, alerting, security, and error handling; troubleshoot production issues and optimize performance. Collaborate with product managers, engineers, and stakeholders on technical design, code reviews, documentation, and continuous improvement.

Designs, develops, maintains, and troubleshoots Workday integrations, reports, dashboards, and security configurations. Supports payroll, benefits, recruiting, financial, time, absence, talent, and performance processes. Translates HR requirements into Workday solutions, manages releases, investigates integration and reporting issues, documents technical processes, and supports SOX audits, access reviews, and change control while collaborating with cross-functional stakeholders and middleware teams.

Designs, develops, and optimizes scalable ETL/ELT pipelines and data platforms using Azure Databricks, Data Factory, Spark, PySpark, SQL, and HPCC ECL. Ingests and transforms structured and semi-structured data from multiple sources, builds data models using Delta Lake and Parquet, and improves workload performance. Collaborates with analysts, data scientists, and application teams to deliver secure, reliable solutions for analytics, reporting, and operational needs.

Resolve complex Scopus content and metadata curation escalations, including missing content, metadata corrections, citation-link corrections, retractions, and source-level updates. Use OpsBankII, the Bulk Correction Portal, BACCS, and bulk scripts to execute corrections accurately within SLA. Coordinate with suppliers and technical teams, triage requests, maintain quality and reporting standards, improve processes, document SOPs, and mentor the broader data-curation team.

Designs end-to-end user experiences for complex, data-rich enterprise platforms, primarily Elsevier’s Salesforce-based editorial systems. Responsibilities include user research, workflow mapping, information architecture, wireframing, prototyping, usability testing, high-fidelity UI design, design-system contribution, accessibility compliance, and post-launch feedback analysis. The role collaborates with product, engineering, editorial stakeholders, and global UX teams in an Agile environment.

Creates vector-based scientific illustrations and figures for Cell Press journals, covers, websites, and marketing materials. Translates complex scientific concepts into accurate, clear visual assets from author input or original ideas. Collaborates with editors, authors, suppliers, and freelance illustrators; reviews outsourced work, licenses photography, manages deadlines, and troubleshoots illustration issues while maintaining visual standards and scientific accuracy.

Designs, develops, and deploys machine learning and generative AI solutions, including RAG pipelines, LLM fine-tuning, prompt strategies, evaluation frameworks, and scalable ML pipelines. The role uses Python, cloud infrastructure, vector databases, and MLOps practices to deliver production AI features. Responsibilities include monitoring model performance, conducting experimentation and benchmarking, collaborating with technical and subject matter experts, and contributing to AI system architecture.

Develop and support Salesforce solutions for global sales and editorial teams. Provide user and stakeholder support, analyze business requirements, monitor integrations, troubleshoot complex issues, document processes, support UAT, and contribute to scalable platform enhancements aligned with Sales and Marketing objectives.

Own product features from concept through delivery, develop product plans, translate customer needs into requirements, prioritize issues and defects, and collaborate with engineering, design, sales, marketing, and finance stakeholders. The role also leads product demonstrations, supports production issue resolution, identifies feature opportunities, and enhances digital and back-office platforms.

Own product features from concept through delivery, develop product plans, translate customer needs into requirements, prioritize defects and enhancements, coordinate cross-functional teams, resolve production issues, and demonstrate progress to stakeholders. The role supports digital and back-office platforms used by Sales, Marketing, and Finance.

Deliver complex analytics using Databricks, Snowflake, SQL, and Python to analyze large datasets, validate data products, assess model precision/recall, and present actionable insights to Product Owners and Data Scientists. Support data preparation, quality assurance, stakeholder communication, and continuous improvement of data products.

Leads quality strategy for complex software systems through test planning, manual and automated testing, and technical problem-solving. Develops maintainable end-to-end tests with Playwright and Selenium, integrates testing into CI/CD pipelines, performs root-cause analysis of production incidents, and drives improvements to testing frameworks and processes. Provides technical guidance to engineers and collaborates with development and operations teams across the SDLC.