Top Tech Jobs & Startup Jobs in Chennai

Lead product ownership and technical delivery for Smart Platform and Digital Solutions. Architect and deliver AI-powered, cloud-native web applications on .NET/React/Fast APIs and Azure, integrate LLMs and analytics, align roadmaps with business stakeholders, ensure security/compliance, and drive ROI through cross-functional collaboration.

Lead POD operations aligning POD and program goals, oversee audit lifecycle, manage client engagements, drive analytics and tech initiatives, ensure compliance (HIPAA, CMS), identify revenue leakage, and implement process improvements to deliver service excellence.

Senior Executive to lead client relationships, shape EXL's data and analytics strategy, drive generative AI adoption, oversee delivery and growth across industries, and represent the firm with C-suite clients.

Work within EXL's data and analytics organization helping clients in insurance, banking, healthcare, retail, and logistics apply data, advanced analytics, generative AI, and digital technology to improve operations, reduce risk, and enhance customer experience. The posting describes the team and company capabilities rather than specific manager responsibilities.

Design and implement scalable Microsoft-based solutions (.NET, Azure, SQL, SharePoint). Collaborate with stakeholders to translate requirements into architectures, mentor engineers, enforce code quality and security, lead cloud migrations to Azure, troubleshoot complex issues, and evaluate emerging technologies for healthcare payer analytics use cases.

Design, develop, administer, and optimize Teradata EDW/Data Mart systems. Build and maintain BTEQ scripts and complex SQL/procedures, perform query tuning, physical data modeling, index selection, and explain-plan analysis. Monitor and troubleshoot CPU, spool space, AMP issues, and batch performance. Collaborate with analytics, business teams, and TDBA to deploy high-quality data models and meet production SLAs. Support reporting via QlikView/Power BI.

Migrate and implement Cybermation jobs into Apache Airflow by analyzing existing schedules and scripts, designing and developing DAGs, configuring schedules, retries, logging and alerting, performing dry runs and validation, producing migration and runbook documentation, and coordinating deployments and hypercare with client teams.

Support master data management tasks: collect, cleanse, standardize, and maintain master data records. Learn MDM tools and methodologies, produce reports and queries, apply basic statistical modeling, and participate in team meetings while supporting multiple concurrent projects.

Design, build, and optimize Databricks-based lakehouse solutions and pipelines for Financial Crime use cases (AML, KYC, sanctions, fraud, reporting). Manage Databricks workspaces, clusters, Unity Catalog, Delta Lake tables, DLT, streaming ingestion, PySpark/SQL transformations, MLflow/feature store workflows, CI/CD/IaC, governance, performance tuning, and operational runbooks.

Lead design, development, and production deployment of generative AI and LLM-based solutions. Build and optimize ML pipelines, fine-tune and evaluate models, manage infrastructure on Azure/GCP and Linux, ensure secure handling of PII/PHI, and collaborate across teams to integrate AI into enterprise applications.