Jobs at EXL

Lead strategy, planning, execution, and optimization of paid digital media across search, social, display, video, programmatic, and emerging channels. Manage large media budgets, vendor/client relationships, analytics and reporting, and mentor a cross-functional paid media team to meet acquisition, retention, and revenue KPIs.

Prepare, review, and track outgoing audit letters; maintain Excel logs; respond to provider chats and emails; make outbound calls to verify contact details and portal use; escalate and report system/workflow issues; comply with HIPAA and meet quality and productivity standards to support the audit process.

Serve as the primary liaison for providers: handle inbound/outbound calls, email and chat inquiries, log and escalate issues, meet quality/productivity standards, assist with portal navigation, and maintain HIPAA/confidentiality compliance.

Senior Business Analyst for insurance data and systems: elicit and document business/functional requirements, create BRDs/FRDs and user stories, perform SQL-based data analysis and source-to-target mappings, support testing (SIT/UAT), collaborate with stakeholders, data engineers, QA and delivery teams across end-to-end Agile project lifecycle.

Lead and own end-to-end delivery of enterprise Data & AI programs, define data strategy and architecture (lakehouse/warehouse), drive modernization, governance, data quality, metadata/lineage, and AI adoption. Manage client relationships, account growth, program budgets, delivery teams, and stakeholder communications to ensure on-time, on-budget outcomes.

Lead technical delivery for Life Insurance and Annuity clients: design solutions and architectures, produce technical design docs, mentor distributed teams, drive code quality and integrations (APIs), maintain mainframe and .NET codebases (COBOL, C#, DB2/SQL), and leverage AI tools (GitHub Copilot, Claude Code, custom agents) for automation and efficiency.

Design, deploy, automate, and support Cloudera Data Platform clusters and Hadoop ecosystem services. Build Ansible automation and CI/CD for provisioning, configuration, patching, monitoring, security integrations (Kerberos/LDAP/TLS), capacity planning, disaster recovery, and on-call operations to support data ingestion, processing, and analytics workloads.

Design, build, and operationalize scalable analytics engineering solutions on Databricks and modern cloud platforms. Implement metrics-as-code and semantic layers, create automated pipelines, enable product measurement and experimentation, define cohorts and KPIs, improve data quality and governance, and lead engineering best practices and stakeholder delivery for data products.

Lead data engineering teams to design, build, and maintain scalable cloud-native data pipelines, data platforms, and data products using Snowflake, Databricks, Airflow, and modern architectures. Optimize ETL/ELT, SQL, and transformations for analytics, reporting, and AI use cases; ensure data quality, governance, observability, and stakeholder alignment. Produce documentation, runbooks, and present technical solutions to business and technical audiences.

Analyze claim liability and identify subrogation opportunities. Develop, pursue, and recover claims via negotiation, arbitration, collections or outside counsel. Handle high-volume inbound and outbound calls, document interactions, and collaborate to maximize recoveries.

Lead design and operationalization of enterprise data governance for insurance data across cloud and on-premises estates. Define operating models, stewardship, policies, data standards, quality frameworks, metadata/lineage, tooling, and MDM. Partner with business, actuarial, underwriting, claims, compliance, and tech teams to improve data trust, compliance, and reporting.

Individual-contributor sales leader tasked with hunting and closing large (>$10M), multi-year L&A deals with top 100 US insurers. Build CXO relationships, position/ negotiate/close agreements, and manage bids, partners, and contracts to deliver operations, platform, digital and CX transformation solutions.

Conduct detailed hospital charge audits on high-dollar claims to verify billed services against medical records, identify overcharges, undercharges and unbundled items per payer and Medicare guidelines, schedule and perform onsite audits, communicate findings with coordinators and managers, and comply with HIPAA and company policies.

Design and deploy end-to-end Generative AI systems across the 7-layer stack. Select and fine-tune models, build LLMOps pipelines, implement observability, integrate with cloud platforms and APIs, enforce data protection, and lead stakeholder workshops to translate business needs into scalable, secure AI solutions.

Design, develop, and deploy NLP and LLM-powered models to extract intent, outcomes, and sentiment from calls, chats, and digital interactions. Translate unstructured interactions into actionable insights, build evaluation frameworks, debug and improve model performance, and hand off production-ready artifacts to data engineering to improve call center efficiency and customer experience.

Lead and develop a team of clinical and coding trainers to design, deliver, and evaluate training programs that improve onboarding, speed-to-proficiency, performance, and operational readiness. Partner cross-functionally to assess needs, measure effectiveness, manage resources, and scale learning solutions for payment integrity clinical and coding audits.

Review medical records and itemized hospital bills to verify billed charges, identify overcharges/undercharges and unbundled items per payer and Medicare guidelines. Schedule and perform onsite audits, communicate with Audit Coordinator, report issues, comply with HIPAA and company policies, and complete documentation using Excel and basic data entry.

Lead analytics and AI initiatives: define strategy, translate business needs into AI/use cases, oversee dashboards and advanced analytics, run ML/LLM pilots, operationalize models, ensure responsible AI governance, and manage and mentor analytics teams while driving stakeholder alignment.

Design and deploy enterprise Generative AI systems across the 7-layer stack: data ingestion, preprocessing, model selection, orchestration, inference, integration, and application. Lead model selection/tuning (commercial and open-source), establish LLMOps and observability, integrate AI with cloud platforms, enforce data protection, manage hallucinations/security, and act as onshore technical lead for client workshops and stakeholder alignment.

Remote part-time coordinator schedules appraisal appointments, contacts policyholders via phone/SMS/email, assists homeowners with a mobile photo-capture self-survey app, updates work order statuses, meets productivity and quality goals, troubleshoots technical issues, and communicates issues to management and underwriters.