Artificial Intelligence

• Spearhead innovative client-facing initiatives in the fields of Generative and Agentic AI.
• Collaborate closely with data science, technology, business development, and client teams to identify opportunities, architect robust solutions, and deliver transformative results.
• Engage directly with senior client stakeholders (including C-suite) to understand complex business challenges and define project scope.
• Lead large-scale, complex Generative AI and Agentic AI projects from strategic conception through successful deployment, managing cross-functional teams.

Senior AI Forward Deployed Engineer

Sales

• Drive Data & AI led growth strategies across strategic Healthcare Provider accounts, expanding footprint and unlocking new revenue opportunities across subsidiaries
• Own new Healthcare Provider logo acquisition, originating, shaping, and closing large, complex deals by positioning integrated Data, Digital, and AI solutions
• Lead end-to-end sales cycle from prospecting to closure, ensuring strong pipeline creation, disciplined execution, and consistent revenue growth
• Deliver account growth through upsell and cross-sell of Data, AI and Global Delivery led solutions across Finance & Accounting, Contract Center, Revenue Cycle Management, Provider Analytics, Data Management and other services aligned to evolving client priorities
• Build trusted CXO relationships and engage CIOs/CTOs with compelling, context-driven articulation of EXL’s Data & AI capabilities within the client’s technology landscape
• Orchestrate cross-functional teams to design and deliver integrated solutions across Data, Analytics, AI, Digital, Finance & Accounting, Contract Center and Clinical Operations
• Build and manage a high-quality pipeline with strong conversion discipline and predictable revenue realization
• Drive revenue, pipeline, and profitability performance through strong financial tracking and account governance
• Leverage market intelligence to anticipate demand, shape Data & AI offerings, and strengthen competitive positioning

Vice President – Provider Sales

Full-stack Engineer

• Experience with AWS cloud as part of DHP platform or similar enterprise deployment platforms
• Knowledge of containerisation (Docker) and orchestration (Kubernetes / EKS)
• Exposure to agentic AI or AI‑driven automation
• Understanding of technology risk, controls, and assurance frameworks

Senior Engineer – AI, Cloud

Insurance

• Managing end-to-end ceded reinsurance operations, including treaty administration, accounting, settlements and reporting activities.
• Acting as a trusted advisor and subject matter expert to stakeholders, identifying process gaps and driving operational excellence initiatives.
• Ensuring accurate interpretation and execution of treaty terms and maintaining compliance with contractual and regulatory requirements.
• Performing financial analysis, data reconciliations and bordereaux reporting for ceded reinsurance portfolios.
• Delivering data-driven insights on portfolio performance, loss trends and financial impacts to support strategic decision-making.
• Collaborating closely with underwriting, actuarial, finance, claims and external counterparties to ensure effective management of ceded reinsurance programmes.
• Supporting and enhancing reporting capabilities, metrics and dashboards to improve transparency and business performance.
• Participating in tactical and strategic projects aimed at increasing efficiency, automation and quality across ceded reinsurance processes.
• Providing analytical support and recommendations that move beyond transactional processing and enable informed business decisions.
• Supporting the implementation of process improvements, controls and best practices across reinsurance operations.

Re-Insurance SME

Data Engineer

• Design, build, and maintain ETL/ELT pipelines on Databricks using PySpark, Spark SQL, and Delta Lake.
• Develop and optimize data ingestion frameworks, data transformations, and end-to-end workflows for batch and streaming use cases.
• Implement Delta Lake-based architectures, including versioning, schema evolution, and ACID-compliant pipelines.
• Work with stakeholders to understand data requirements and translate them into scalable data engineering solutions.
• Manage and optimize Databricks clusters, jobs, and notebooks for performance and cost efficiency.
• Integrate Databricks pipelines with cloud services (Azure Data Lake / AWS S3, Event Hub/Kafka, Synapse/Redshift, etc.).
• Ensure data quality, reliability, and observability through validation frameworks and monitoring.
• Contribute to data modeling, metadata management, and best practices within the data platform.
• Collaborate closely with data scientists, analysts, and business teams to support analytics and ML workloads.

Senior Data Engineer

Manager

• Collaborate/communicate with on-site project team and business users as required
• Co-ordinate with development & business teams to ensure the smooth execution of the project.
• Cross train & mentor team members to encourage knowledge sharing.
• Responsible for participating in architecture, data modeling, and overall design sessions.
• Develop, deploy, test and maintain technical assets in a highly secure and integrated enterprise computing environment & Support functional testing and UI/UX testing.

Software Engineer

• Project task management
• Define project deliverables, controls and ensure adherence to these
• Supervise and assist the team on project execution and delivery
• Monitor project progress and ensure adherence to client expectation
• Communications, including deck writing
• Coordination of all sub-team efforts; Creation of project plan, define milestones, timelines, review plan with the team
• Delivery of output
• Facilitation and gathering of client feedback on problem structuring
• Understand and define business problems, get all background information and collect relevant data points
• Create solution hypothesis and get client buy in, discuss and align on end objective, staffing need, timelines and budget
• Effective management of frequency of feedback loop with offshore resources
• Build capabilities in junior team members

SAS Developer

Engineer

• Design, build, and maintain secure connectors and pipelines between Databricks workspaces (Delta Lake, Unity Catalog) and Model Context Protocol (MCP) servers.
• Implement and configure MCP servers/clients to expose Databricks data, schemas, and analytical tools securely to AI models and LLM applications.
• Optimize data retrieval, caching mechanisms, and query performance between Databricks and LLM orchestration frameworks to minimize latency.
• Ensure all data exposed through the MCP server adheres to strict enterprise data governance, access controls, and Unity Catalog permissions.
• Partner with AI/ML engineers, data scientists, and software architects to define the context, tools, and prompts required for LLM applications to effectively query Databricks.
• Establish robust logging, error-handling, and monitoring for the Databricks-MCP middleware to ensure high availability and reliability.

Data Bricks Engineer

Analyst

• Manage end-to-end rate, rule, and form filing activities for P&C insurance products.
• Prepare and submit filings across multiple states/jurisdictions.
• Ensure compliance with state insurance regulations and filing requirements.
• Coordinate with actuarial, underwriting, legal, compliance, and product teams.
• Track filing approvals, objections, and implementation timelines.
• Support product launches, pricing updates, and policy form changes.
• Provide support for audit-related activities, as required.
• Conduct independent research, analyze data, and present insights effectively for assigned projects.
• Expected to work in close collaboration with the EXL team and clients on general insurance actuarial projects for US markets.
• Build and maintain strong cross-functional relationships to achieve project and organizational objectives

Filing Analyst

• Perform general ledger accounting activities, including journal entries and account reconciliations
• Manage and support the month-end, quarter-end, and year-end close processes
• Prepare and analyze financial statements and reports
• Ensure accuracy and integrity of financial data in compliance with GAAP/IFRS and company policies
• Handle balance sheet reconciliations and resolve discrepancies
• Support internal and external audits by providing required documentation and explanations
• Monitor and improve financial controls and processes
• Coordinate with cross-functional teams such as Accounts Payable (AP), Accounts Receivable (AR), and FP&A
• Identify opportunities for process improvements and automation
• Maintain proper documentation of accounting processes and procedures

Lead Assistant Manager – R2R

General Counsel

• Manage the full lifecycle of litigation matters, including employment disputes, contract claims, and IP matters, in coordination with outside counsel across U.S. and international jurisdictions.
• Develop and execute litigation strategy, including assessments of risk exposure, settlement frameworks, and cost management.
• Oversee outside counsel relationships, monitor legal spend, and enforce billing guidelines and budget discipline.
• Partner with business operations, HR, and Finance to gather facts, preserve documents, and respond to legal holds and discovery obligations.
• Prepare senior leadership for updates on material disputes and litigation reserves.
• Monitor regulatory and judicial developments affecting the business services and technology sectors; advise management on emerging litigation risks.
• Provide day-to-day legal counsel to HR and business unit leaders on employment matters including hiring practices, employee relations, performance management, separations, and leave obligations across U.S. and international jurisdictions.
• Draft, review, and negotiate a high volume of complex commercial agreements, including master services agreements, statements of work, SaaS agreements, NDAs, and vendor contracts.

VP, Assistant General Counsel – Litigation, Commercial Contracting

• Analyze data and gather business requirements to support decision-making.
• Provide insights to stakeholders and ensure data accuracy.
• Develop reports and implement process improvements.
• Perform basic coding and scripting in Python/SQL for data extraction, transformation, and analysis.

Lead Assistant Manager

Data Scientist

• Perform data profiling, reconciliation, and validation to ensure accuracy, completeness, and consistency across procurement datasets
• Analyze data discrepancies, identify root causes, and implement corrective measures with detailed documentation
• Execute post-load validation checks and ensure adherence to SAP data standards, governance policies, and quality frameworks
• Design and optimize scalable data workflows for efficient extraction, transformation, and processing
• Build and deploy ML-based supplier scoring models to automate vendor evaluation and shortlisting
• Develop NLP and LLM-powered pipelines to analyze proposals, SOW documents, and other sourcing artifacts
• Leverage LLMs to automate RFx document generation and review, ensuring consistency, completeness, and alignment with business requirements
• Automate market research workflows using web scraping and generative AI to generate supplier landscape reports and insights
• Design procurement analytics dashboards and predictive models to track sourcing pipeline health and forecast cycle timelines, utilizing SQL, Power BI, or Tableau
• Implement anomaly detection models on procurement spend data to identify contract leakage, while applying NLP techniques (NER, embeddings, RAG) and leveraging LLM APIs (OpenAI, AWS Bedrock, Azure OpenAI), with proficiency in Python and ML frameworks (scikit-learn, spaCy, LangChain) to enable end-to-end procurement automation

Data Science – Gen AI Engineer

Product Manager

• Design and implement product strategies
• Optimize product performance and market fit
• Ensure product meets customer requirements
• Provide product management support
• Collaborate with stakeholders.

Digital Product Owner

Systems Engineer

• Analyze existing application architectures, system workflows, integrations, and business processes to identify gaps and optimization opportunities.
• Gather, document, and translate business requirements into detailed functional and technical specifications.
• Develop system design documents, process flow diagrams, data flow diagrams (DFDs), use cases, and interface specifications.
• Evaluate system performance, scalability, and reliability, recommending technology enhancements and modernization strategies.
• Collaborate with architects, developers, data engineers, and QA teams to design and implement enterprise-grade solutions.
• Lead end-to-end technology projects including application implementations, cloud migrations, data platform initiatives, and system integrations.
• Define project scope, technical deliverables, milestones, resource plans, and implementation roadmaps.
• Manage Agile/Scrum ceremonies including sprint planning, backlog grooming, stand-ups, and retrospectives.
• Track project progress, dependencies, technical risks, and mitigation plans.
• Coordinate cross-functional teams including development, infrastructure, data engineering, cybersecurity, and business teams.
• Ensure successful deployment, testing, and production release of technology solutions.
• Analyze and document system interfaces, and data integration workflows.
• Collaborate with development teams to define integration requirements between enterprise applications and cloud platforms.
• Support data mapping, transformation logic, and data quality validation activities.
• Support cloud transformation initiatives involving AWS, Azure, or GCP environments.
• Work with infrastructure and platform teams to ensure system reliability, security, and scalability.
• Evaluate emerging technologies and recommend solutions to improve operational efficiency and business outcomes.
• Ensure compliance with enterprise architecture standards, security controls, and governance frameworks.
• Develop and maintain technical documentation, architecture diagrams, requirement traceability matrices, and project artifacts.
• Create project dashboards, status reports, and executive presentations to communicate progress and risks.
• Establish KPIs and monitoring metrics to measure system performance and project success.
• Support audit, compliance, and governance activities through proper documentation and controls.