Manager

• Oversee data advisory projects
• Collaborate with clients and teams to deliver insights

Data Advisory Manager

Application Engineer

• Design and develop application solutions
• Optimize application performance and functionality
• Ensure applications meet user and business requirements
• Provide technical support for applications
• Collaborate with stakeholders to address application needs.

Sales

• The role is a front-end growth leadership position focused on expanding EXL’s market presence by winning and scaling strategic client engagements across priority sectors
• Drive revenue growth through Data, Digital, and AI-led solutions, positioning EXL as a transformation partner
• Operate as a trusted advisor to CXOs, leveraging deep understanding of client context and buying behaviour to influence decisions
• Own the end-to-end deal lifecycle—from origination to closure and early-stage expansion
• Manage complex sales cycles and ensure strong post-win ramp-up
• Orchestrate cross-functional teams to deliver integrated, outcome-driven solutions aligned to client priorities
• Accountable for driving consistent new revenue growth and contributing to long-term portfolio expansion

Vice President, Sales & Client Development – EMEA, Travel, Hospitality, Shipping & Logistics

Data Scientist

• Assist in analyzing business processes
• Support development of business requirements
• Document analysis processes
• Perform basic data analysis
• Collaborate with senior analysts.

Accounts Receivable

• Carry out activities to support the Accounts Receivable cycle and subprocesses.
• The role involves calling customers for payments, payment processing, credit notes, write offs, reconciliations and reporting.
• Required interact with customers and agree before processing invoices
• Resolve all customer queries and requests coming via e-mails /tickets within the agreed SLA
• Perform account reconciliation between data from different systems
• Maintain exception logs for process related exception as and when they occur for knowledge retention
• Provide audit support where required
• Prepare reports as per requirements

Account Receivable Spanish Expert

Account Receivable, French Expert

Analyst

• Conduct Transaction Monitoring as per guidelines defined in the QSD
• Provide feedback to associates based on monitoring results
• Prepare transaction monitoring reports and ensure timely and accurate reporting
• Conduct ongoing analysis of quality performance and recommend actions for improvement at associate / process level
• Update Prompt with performance data to ensure timely and accurate reporting of SLAs
• Participate in calibration exercises on a regular basis to ensure consistency in measurement.
• Work closely with Trainer / SME and Operations team to conduct team huddles
• Perform transaction processing as per defined policies and procedures
• Co-ordinate all process improvement initiatives
• Understand and participate in baseline activities

Senior Quality Analyst

Solutions Engineer

• Define and manage the AI product roadmap for AR capabilities: cash application automation, deductions management, credit risk scoring, collections prioritization, and dispute resolution.
• Translate AR business requirements into AI architectures, orchestration frameworks, and product features that deliver measurable outcomes (DSO reduction, auto-match rate improvement).
• Design Generative AI solutions using state-of-the-art models (GPT-4o, Claude, Llama 3) for AR-specific tasks: automated remittance parsing, dispute email generation, and intelligent customer communication.
• Architect Agentic AI workflows for autonomous AR operations: cash matching agents, dispute classification agents, and collections prioritization agents using LangChain, AutoGen, and CrewAI.
• Guide data science and ML engineering teams in building, fine-tuning, and deploying LLMs and ML models for AR use cases: payment prediction, credit risk scoring, and anomaly detection.
• Architect scalable AI pipelines on cloud platforms (AWS, Azure, GCP); drive adoption of LLM orchestration stacks and MLOps practices for production AR AI systems.
• Stay current on advancements in Generative AI, NLP, and ML engineering frameworks (PyTorch, TensorFlow, LangChain, LlamaIndex, LangGraph); proactively incorporate innovations into the AR AI product.
• Ensure AI solutions meet compliance, security, and auditability standards applicable to receivables and financial data.
• Collaborate with client Finance technology teams and AR operations leads to identify AI-driven automation opportunities and co-define solution requirements.
• Present Generative AI use cases, proof-of-concept demos, and ROI narratives to both technical and non-technical client audiences.
• Act as a trusted product and AI advisor to clients on the technical, ethical, and operational considerations of deploying AR AI solutions.
• Support Sr. AVP in first-engagement solutioning, client workshops, and RFP/RFI responses for AR transformation engagements.
• Write detailed Product Requirement Documents (PRDs), user stories, and acceptance criteria for AI-powered AR features; manage and prioritize the product backlog.
• Conduct user discovery interviews with AR operations teams, controllers, and treasury leads to surface pain points and validate product hypotheses.
• Lead sprint planning, grooming, and retrospectives with cross-functional Agile engineering teams; manage release readiness across QA, UX, and compliance workstreams.
• Define and track product metrics: cash application hit rate, auto-match accuracy, DSO improvement, collector productivity, and AI model performance.
• Author product collateral: demo scripts, solution one-pagers, sales enablement decks, and ROI calculators for AR AI solutions.

Solution Architect

• Managing Customer engagement, Liaise with Clients Engagement managers oversee the customer service operations within a business, dealing with customers directly and often as their first point of contact.
• Application supports: On-call rotation, Receiving and acknowledging tickets, Incident triaging and priority assessment, Assignment of incidents, Incident resolution, Application monitoring and preventive maintenance, Weekly status and SLA reporting
• Incident and Problem management: Analyse, troubleshoot and work with team to resolve complex production application defects, Identify root cause and devise and implement permanent solutions to recurring defects
• Build and maintain application monitoring, optimisation and utilisation
• Lead the support team to achieve compliance with SLAs, work within commercial and resource constraints; prioritisation, resourcing, scheduling and QA across all activities.
• Communicate with stakeholders in case of delays or SLA breaches.
• Maintain and own defect management and incident resolution process.
• Follow up with third party vendors for issue resolution and prevention, if required.
• Perform weekly incident/bug review meetings with application team.
• Perform custom, ad-hoc data analysis and reporting based on stakeholder requests within SLA.
• Support weekly and monthly customer report processing.
• Conduct regular presentations to team/stakeholders.
• Good experience of working in Agile methodologies.
• Manage process improvements.
• Resolve defects within the defined service levels.
• Review and take actions on operational metrics reporting.
• Follow SDLC standards, source code management, and release management procedures.
• Excellent verbal and written communication skills.
• Mentor offshore team members in Process and Delivery of work items within defined schedule.
• Ability to be eloquent and present different point-of-view during production support and releases.
• Code Management & working experience in GIT Hub, Azure DevOps or Similar.
• Working knowledge of Azure Data Factory and Azure Data Bricks.
• ETL process and tools.
• DevOps practices such as infrastructure as code, continuous integration and automated deployment.
• Spark or Hadoop or Hive (incl. derivatives like pySpark (preferred), Spark Scala or Spark SQL) or Similar.
• SQL queries & working experience in SQL code or Stored Procedures or Functions or Views or Similar.
• Performance tuning, design or architecture of new solutions with Data Warehouse Architects.
• Data warehouse working experience of concepts and development using SQL on single (SQL Server, Oracle or Similar) and parallel platforms (Azure SQL Data Warehouse Synapse or Snowflake)

Operations

• Review and analyze the assigned outstanding receivables portfolio to identify unresolved claims.
• Manage and resolve outstanding and denied claims by coordinating effectively with insurance companies.
• Follow up promptly to obtain additional information required for claim resolution.
• Ensure all claims are resolved within established timelines and adhere to defined Service Level Agreements (SLAs).
• Perform website checks and handle non-callable denials to optimize receivables recovery.

Executive – Operations

• Experience in Canada Indirect Tax or India GST compliance
• Validate our global revenue and indirect tax system configuration
• Indirect tax computations using tools like Alteryx/Tableau and preparing VAT declarations
• Historic Indirect Tax filing analysis using Alteryx/Tableau model.
• Build and maintain invoice vs. indirect tax vs. revenue accounting reconciliations globally.
• Audit support for indirect tax and reconciliations.
• Historic review of global Indirect Tax and Revenue

Assistant Manager

• Expected to work in close collaboration with the Client team and EXL team on establishing relationship with stakeholders, identify new opportunities, areas of growth
• Develop long-lasting, trusted advisor relationships with clients
• Analyze structured and unstructured data from a number of drivers in the interest of solving specific questions/problems with processes in the various functional areas
• Ensure Industry best practices are followed, Communicate and follow up with delivery team
• Brainstorming on pain areas/Identifying reasons for issues/Issue Resolution, diagnosis of inefficiencies in the current process and figuring out ways to resolve it
• Facilitate client working sessions and lead recurring project status meetings
• A typical work day will involve working with stakeholders as individual contributor.

Data Scientist – GenAI, Core DS

• Ensure the accuracy and integrity of balance sheet accounts by performing detailed reconciliations.
• Identify discrepancies, resolve issues, and maintain accurate financial records to support financial reporting and compliance.
• Perform expense Allocations, Re-class entries, Book Adjustments and Accrual entries
• Complete all close related tasks assigned on timely basis adhering to the business quality.

• Project Planning: Develop comprehensive project plans for life and annuity projects, including scope, timelines, resources, and budgets. Define project objectives and deliverables. Developing and maintaining the project plans using the project work breakdown structures, product backlogs, sprint backlogs, project and program charters, scope definition, schedules, resource requirements.
• Product Knowledge: Leverage expertise in life insurance and annuity products to guide project requirements, design, and implementation.
• Resource Management: Manages cross-functional team members and subject matter experts, including definition of objectives, oversight of execution and evaluation of performance.
• Stakeholder Communication: Serve as the primary point of contact for stakeholders, including internal teams, clients, and vendors. Provide regular updates on project status and address any issues.
• Regulatory Compliance: Ensure all projects adhere to industry regulations, standards, and company policies.
• Risk Management: Identify potential risks specific to life and annuity projects and develop strategies to mitigate them.
• Budget Management: Monitor and manage project budgets, ensuring cost-effectiveness and alignment with financial goals.
• Quality Assurance: Oversee the quality of project deliverables to ensure they meet industry standards and client expectations.
• Documentation: Maintain detailed project documentation, including plans, reports, and change requests.
• Team Leadership: Lead and motivate project teams, ensuring alignment with project goals and fostering a collaborative work environment. Provides thought leadership and delivers business insights to identify and resolve complex issues critical to their clients’ success.
• Problem Solving: Address and resolve project-related issues and challenges in a timely and effective manner.
• As part of their expanded responsibilities, the Manager will lead the implementation of AI initiatives aligned with business objectives. This includes identifying opportunities for AI-driven automation and analytics within ongoing projects, collaborating with data science and engineering teams, and ensuring AI solutions are integrated seamlessly into existing platforms and workflows such as LifePRO, LDS, portals, and operations systems. By embedding AI delivery into project execution, the PM plays a key role in accelerating digital transformation, improving efficiency, and delivering measurable business value.

Senior Delivery Manager

Auditor

• Conducts insurance policy audits for Worker’s Compensation, Auto and General Liability policies.
• Scheduling appointments with the insured to be audited.
• Travel on an average of 4 days per week within your assigned territory to meet with the insured.
• Obtain necessary documentation for insurance company client audits while adhering to customer requirements and quality standards.

Data Advisory Manager

Application Engineer

Vice President, Sales & Client Development – EMEA, Travel, Hospitality, Shipping & Logistics

Data Scientist

Account Receivable Spanish Expert

Account Receivable, French Expert

Senior Quality Analyst

Solution Architect

Manager

Executive – Operations

Assistant Manager

Data Scientist – GenAI, Core DS

Assistant Manager

Senior Delivery Manager

Experienced Premium Insurance Field Auditor