Accounts Payable

• Process vendor invoices accurately and within defined turnaround timelines.
• Perform invoice verification, matching, and validation against purchase orders and supporting documents.
• Handle vendor account reconciliations and resolve discrepancies promptly.
• Ensure timely processing of payments through various payment methods.
• Monitor and manage AP mailbox queries and respond to vendor/internal stakeholder requests.
• Support month-end closing activities and reporting requirements.
• Maintain compliance with internal controls, audit requirements, and company policies.
• Coordinate with internal departments and on-shore stakeholders for issue resolution.
• Identify process improvement opportunities and support automation initiatives where applicable.
• Maintain accurate records and documentation for audit and compliance purposes.

Assistant Manager, Accounts Payable

IT Support

• Design and deploy enterprise-grade AI solutions (LLMs, RAG, agents) by selecting appropriate models, building data pipelines, and integrating them with cloud platforms (AWS, Azure, GCP).
• Lead technical strategies, ensure scalability, manage AI security/hallucinations, and bridge business needs with engineering teams.
• System Design & Architecture: Architect end-to-end Generative AI systems, including retrieval-augmented generation (RAG) and vector data systems.
• Model Selection & Tuning: Evaluate and select cutting-edge commercial (e.g., GPT-4) and open-source models, and fine-tune models for domain-specific use cases.
• LLMOps & Pipelines: Establish LLMOps standards for model versioning, evaluation, prompt management, and CI/CD, ensuring robust, production-grade AI.
• Integration & Security: Integrate AI solutions with existing APIs, applications, and databases while enforcing security, privacy, and guardrails to manage hallucinations and adversarial attacks.
• Strategic Leadership: Collaborate with stakeholders to map business challenges to AI solutions and establish AI governance frameworks.

AVP, GenAI Enterprise Architect

Artificial Intelligence

• Lead end-to-end AI transformation engagements from discovery and design through deployment, ensuring measurable ROI and enterprise alignment.
• Develop and implement AI/GenAI strategies across business functions including finance, operations, risk, and customer experience.
• Design Intelligent Automation solutions leveraging RPA, IDP, advanced analytics, and LLM-based workflows to re-engineer core processes.
• Serve as a trusted advisor to CXOs and senior leadership; translate AI capabilities into compelling business cases and transformation roadmaps.
• Partner with technology, product, and data teams to integrate AI solutions with existing enterprise platforms and data ecosystems.
• Lead and mentor cross-functional project teams; drive concurrent AI and Automation workstreams using Agile methodologies.
• Develop AS-IS / TO-BE process maps to identify automation and AI augmentation opportunities with quantified business impact.
• Monitor and report on AI program performance; build dashboards and KPI frameworks for executive stakeholder visibility.
• Stay ahead of emerging AI trends and evaluate new tools, models, and frameworks for enterprise applicability.

AI Transformation Consultant – AVP

Financial Planning and Analysis

• Support creation of presentations, decks, and structured materials for internal and external use**
• Assist with ongoing reporting and cadence activities, including data tracking and updates**
• Help maintain and organize information in internal tools and trackers (e.g., CRM systems)**
• Conduct basic research and analysis to support business initiatives and decision-making**
• Prepare summaries, dashboards, and reference documents for reviews and discussions

Intern, Finance & Accounting Consulting

• 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.