Jobs at RELX

Lead ICIS’s South Asia sales function, developing commercial strategy, managing sales leaders and teams, building senior customer relationships, creating opportunities, negotiating complex solutions, and overseeing CRM, incentives, budgets, KPIs, compliance, and performance. The role requires strong knowledge of India’s petrochemical, refining, energy, chemical, and industrial value chains, along with the ability to develop talent and influence internal and external stakeholders.

Leads quality engineering and testing initiatives, converting manual tests into automated solutions using modern frameworks. Responsibilities include writing maintainable code, contributing to CI/CD pipelines and cloud-native deployments, troubleshooting production issues, performing root cause analysis, reviewing code, improving reliability and security, and mentoring junior engineers. The role requires .NET/C# expertise, automation experience, cloud and containerization knowledge, Agile practices, and strong analytical and collaboration skills.

Engineer and operate enterprise AI platforms across Microsoft Copilot, Copilot Studio, Power Platform, and Azure AI. Responsibilities include platform governance, agent lifecycle management, deployment automation, DLP and access controls, enterprise integrations, monitoring, reporting, cost controls, and remediation of ungoverned AI assets. The role partners with Security, IAM, Architecture, Service Management, and FinOps teams to establish secure, scalable, and automated AI platform operations.

Designs, automates, and manages reliable Azure cloud infrastructure, with a focus on AKS clusters, Terraform, Helm, Argo CD, CI/CD pipelines, Docker, observability, security, networking, and high availability. Collaborates with software engineering and information security teams to improve deployments, system architecture, operational processes, disaster recovery, and cloud cost optimization.

Support and improve on-premises and Azure data platforms through pipeline monitoring, incident resolution, troubleshooting, automation, and observability. Maintain Python-based jobs, Windows servers, cloud data services, logging, alerting, dashboards, and operational documentation. Perform root cause analysis, resolve production issues, track reliability metrics and SLAs, communicate with stakeholders, and automate repetitive support activities to improve platform performance and reliability.

Lead and mentor a cross-functional development team to design, build, and deliver resilient, scalable full-stack applications. Serve as primary technical contact, solve complex architectural and coding problems, engage with customers and product owners, and drive technical excellence across microservices, frontend-backend integration, and data storage solutions.

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.

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.

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.

Lead software development for complex, scalable products using Python, AI/LLM tools, RAG pipelines, AWS, and Microsoft SQL Server. Responsibilities include designing, enhancing, and troubleshooting software; resolving customer issues; contributing to planning and estimation; developing reusable components; sharing technical knowledge; mentoring colleagues; and collaborating across teams while applying Agile, Scrum, and security engineering practices.

Develop, maintain, and enhance software solutions in cross-functional teams. Diagnose and resolve complex technical issues, support customer-reported problems, contribute to application design and reusable components, assist with planning and estimation, and mentor colleagues. Build AI-enabled applications using Python, LLM APIs, RAG pipelines, agentic orchestration, and structured extraction. Work with Microsoft SQL Server, AWS cloud services, security engineering principles, and modern software development practices.

Develop, design, and maintain backend services within a squad. Translate requirements into code, perform unit testing, troubleshoot and optimize performance, participate in code reviews, and support cloud-native deployments using containerization, orchestration, CI/CD, and distributed system patterns.

Lead development and execution of automated and performance tests. Collaborate with cross-functional teams to plan, report, and resolve defects and performance issues. Improve testing tools, processes, and documentation to ensure timely delivery of high-quality software.

Lead backend design and development of microservices-based systems, collaborate with cross-functional teams, ensure code quality, debug complex issues, mentor engineers, contribute to architecture and data modeling, and drive continuous improvement within Agile environments.

Own the strategy, roadmap, development lifecycle, and go-to-market activities for fraud analytics products. Lead customer discovery, prioritize product improvements, analyze complex data, collaborate with development and data science teams, and use market and customer insights to improve user outcomes. The role requires fraud prevention expertise, statistical modeling and AI/machine learning knowledge, strong stakeholder communication, and flexible UK-US working hours.

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.

Leads global Analytical Editorial Operations across a 150-person organization, setting strategy, operating models, budgets, quality standards, and performance measures. Drives GenAI-enabled content transformation, including Agentic Content Platform adoption and automated updating, while improving content currency, retrieval quality, customer outcomes, and operational efficiency. Partners with Product, Technology, Data Science, commercial, and editorial stakeholders; manages authors, vendors, workforce development, organizational change, and financial performance.

Drive full-cycle sales for complex, high-value AI research workspace opportunities. Originate and close new business, support strategic renewals, expand stakeholder relationships, lead value-based workshops, and translate AI and research analytics capabilities into measurable customer outcomes. Engage senior decision-makers across enterprise, government, academic, and research organizations while developing pipelines, territories, business cases, negotiations, and long-term account growth.