Jobs at EXL

Manage office supplies, coordinate meetings, handle correspondence, and maintain organizational records.

Lead enterprise data architecture and modernization initiatives using Microsoft Fabric, Azure, Databricks, and Apache Spark. Design cloud-native lakehouse platforms, ingestion and transformation frameworks, governance models, security controls, and scalable batch and real-time pipelines. Establish architecture standards, medallion patterns, lineage, metadata, data quality, and performance optimization. Collaborate with business and engineering stakeholders, lead architecture reviews, translate requirements into technical solutions, and mentor data engineering teams.

Manage intraday staffing and service levels for operations in Noida, India, and the Philippines. Responsibilities include monitoring schedule adherence, analyzing intraday performance, creating accurate reports, communicating with internal and external stakeholders, and supporting service-level objectives through workforce management processes.

Develop, maintain, and execute automated web and API tests; build automation frameworks and integrate them with CI/CD pipelines. Manage testing deliverables, participate in Agile ceremonies, perform database validation, communicate with clients, and train testing teams. The role also involves estimating automation projects and may include GenAI/LLM model testing.

The job description provides no substantive responsibilities or qualifications beyond the title AWS Analytics Engineer.

The posting provides no substantive responsibilities or qualifications beyond identifying an external hiring opportunity for a Voice Executive role.

The job description provides minimal information. The Cloud Architect role lists cloud architecture as its sole responsibility, with no specific duties, technologies, experience requirements, or qualifications described.

Prepare, review, validate, and submit premium, claims, and risk bordereaux in accordance with Lloyd’s and contract requirements. Maintain accurate data, records, mappings, and submission timelines; support regulatory reporting and internal insights. Resolve queries from underwriters, brokers, and coverholders, coordinate with internal teams, escalate complex issues, and follow through to closure. Handle high transaction volumes, support quality assurance escalations, and mentor new hires on query handling.