General

• Handle inbound provider calls, log details, and resolve issues with efficiency and professionalism.
• Monitor and respond to internal and external emails within established service levels.
• Log and return voicemails within established service levels.
• Make outbound calls to assist providers with portal navigation, verify contact details, and confirm receipt of request letters.
• Respond to chat inquiries from providers with clarity and accuracy.
• Escalate unresolved issues to management and follow up as needed.
• Communicate and report any workflow or system issues to leadership.
• Consistently meet quality and productivity standards.
• Uphold HIPAA and confidentiality regulations in all interactions.

Provider Relations Coordinator I

• Generate, review and prepare files of outgoing Audit Letters on a daily basis.
• Monitor delivery confirmations and reprocess as needed due to failure
• Meet quality and productivity standards as indicated by service level
• Comply with HIPAA and other regulations regarding confidentiality of information.
• Escalate issues to management and handle for Follow Up action as needed.
• Responsible for communication and reporting of any system or workflow issues to the appropriate Leadership or Team Members
• Monitor and respond to “Chats” from Providers
• Monitor and respond to email correspondence, both internal and external.
• Other duties as assigned to support the audit process and/or company-wide programs

Coordinator – PreAudit Outgoing Correspondence

Project Manager

• Develop comprehensive project plans for life and annuity projects
• Leverage expertise in life insurance and annuity products to guide project requirements and implementation
• Manage cross-functional team members and subject matter experts
• Serve as the primary point of contact for stakeholders
• Ensure all projects adhere to industry regulations and standards
• Identify potential risks and develop strategies to mitigate them
• Monitor and manage project budgets
• Oversee the quality of project deliverables
• Maintain detailed project documentation
• Lead and motivate project teams
• Address and resolve project-related issues
• Lead the implementation of AI initiatives in alignment with business objectives.

Assistant Vice President – Project Manager

Provider Relations Coordinator

Analytics Engineer

• Design, develop, and maintain LookML models, views, explores, and Looker dashboards to client coding and quality standards
• Architect scalable LookML structures that support cross-domain reporting across multiple business verticals
• Conduct code reviews for offshore developers; enforce standards and best practices before client-facing delivery
• Optimize Looker report and query performance — identify bottlenecks, tune PDTs, and improve dashboard load times
• Lead migration of legacy reports to Looker; own requirements analysis, LookML build, UAT support, and sign-off
• Partner with offshore Analysts to distribute and track migration workload against sprint deadlines
• Validate migrated reports against source data and business logic; document deviations and business owner approvals
• Maintain migration tracker, flag blockers, and provide weekly status to PM
• Work hands-on with client data — manage large numbers of data sources, assess data quality, and proactively partner with client IT/data engineering teams to resolve issues
• Translate complex data models and technical constraints into clear, understandable language for business stakeholders and presentations
• Support data governance, security, and access control implementation within Looker
• Collaborate with client analytics engineers on BigQuery data model design and optimization
• Serve as the primary Looker standards resource for the EXL offshore team — build internal documentation, review checklists, and training materials
• Support onboarding of new Looker developers into client coding standards and development workflows
• Contribute to EXL's internal Looker practice — reusable patterns, accelerators, and peer knowledge transfer

Senior Looker Developer – Analytics Migration, Delivery

Data Analyst

• Own end-to-end delivery across multiple analytics workstreams — from requirements gathering through stakeholder sign-off
• Maintain project plans, milestones, JIRA/ADO boards, and status reporting; escalate blockers proactively
• Run structured sprint ceremonies, stand-ups, and delivery reviews with both onshore and offshore teams
• Maintain quality gates and ensure offshore output meets client coding standards and delivery acceptance criteria before client exposure
• Serve as the primary day-to-day contact for mid-level client stakeholders (Director / Sr. Manager level) across pods
• Collaborate with business stakeholders to translate vague business needs into structured requirements, acceptance criteria, and delivery scope
• Communicate progress, risks, and decisions clearly — written and verbal — calibrated to stakeholder level
• Represent EXL in cross-functional client forums and workstream planning sessions
• Be involved in the approach to the problem, structure, and delivery of the analytical solution
• Contribute to how analytical approaches are structured — from specification of analysis through gathering insights that integrate with initial hypotheses and business objectives
• Independently address complex analytical problems with minimal supervision
• Partner with offshore leads to review development, assess report quality, and data model design
• Manage SOW scope, change controls, and commercial hygiene in coordination with the Engagement Manager
• Track team utilization, flag billing gaps, and maintain offshore staffing visibility
• Onboard new team members, maintain delivery runbooks, and document tribal knowledge
• Identify and flag upsell or scope-expansion opportunities to the Engagement Manager

Technical Project Manager – Onshore Analytics Delivery

Manager

• Perform audit activities as assigned by the Area and/or Regional Manager.
• Determine audit priorities and scheduling to meet stated deadlines.
• Prepare appointment letters and conduct detailed reviews of all related business records.
• Prepare written reports of findings and transmit completed reports to Quality Review by the required due date.
• Meet with business owners/managers to review audit results and implement any required actions.
• Travel to various sites as required to perform audits.
• Correct and complete audits returned for revision and retransmit to Quality Review in a timely manner, in accordance with Auditor expectations and SOP.

Area Manager – Premium Audit

Full-stack Engineer

• Audit legacy BI environments
• Co-ordinate between the client and offshore team
• Define complex entity relationships
• Establish a robust data catalog
• Classify data assets based on quality
• Partner with onshore stakeholders
• Lead the offshore team in building automated data pipelines
• Manage the transition of reports
• Implement rigorous data quality frameworks

BI Tech Lead

Business Intelligence Analyst

• Prepare, validate, and submit complex regulatory reports and data calls to various State Insurance Departments, regulatory bodies, and industry bureaus within established deadlines.
• Support statutory and regulatory reporting requirements related to premiums, claims, reserves, underwriting, and financial reporting.
• Ensure compliance with all applicable state insurance regulations, reporting standards, and filing requirements.
• Monitor regulatory changes and assess potential impacts on reporting processes and data requirements.
• Maintain reporting calendars and ensure timely completion of all regulatory deliverables.
• Extract, consolidate, validate, and analyze data from multiple source systems, databases, and reporting platforms.
• Utilize advanced Excel and analytical tools to manipulate large datasets and produce accurate regulatory reports.
• Conduct data reconciliations across underwriting, claims, finance, actuarial, and operational systems.
• Perform root cause analysis of data discrepancies and implement corrective actions to improve reporting accuracy.
• Identify reporting trends, anomalies, and opportunities for process improvement.
• Develop and maintain comprehensive process documentation, reporting procedures, and submission guidelines.
• Establish robust controls and validation checks to ensure data integrity and reporting accuracy.
• Document data extraction methodologies, transformation logic, and reporting workflows.
• Support audit requests and maintain evidence supporting regulatory submissions.
• Partner with Underwriting, Claims, Finance, Actuarial, Compliance, IT, and TPAs to gather reporting requirements and resolve reporting issues.
• Translate complex technical and regulatory requirements into business-friendly language for various stakeholders.
• Participate in regulatory reporting projects, system enhancements, and process improvement initiatives.
• Provide reporting insights and recommendations to leadership and business partners.
• Identify and proactively address data quality concerns impacting regulatory reporting.
• Implement process improvements to reduce manual effort, increase efficiency, and enhance reporting accuracy.
• Support automation initiatives and reporting transformation programs.
• Analyze downstream impacts of system, business, or regulatory changes on reporting obligations.
• Support ad hoc reporting requests, audits, regulatory examinations, and special projects.
• Assist management with strategic initiatives and other duties as assigned.

ISO Regulatory Reporting Analyst

Data Engineer

• Design, develop, and maintain scalable ETL/ELT pipelines using Python and SQL.
• Build and optimize data ingestion and transformation frameworks for large datasets.
• Develop robust solutions for data processing, validation, and quality assurance.
• Implement CI/CD pipelines and DevOps practices for data engineering workflows.
• Automate data pipelines, deployment, and monitoring processes.
• Work with cross-functional teams to understand business requirements and deliver data solutions.
• Troubleshoot and optimize performance of data pipelines and systems.

Data Scientist

• Support the development, training, and validation of machine learning models focused on customer acquisition, lead scoring, response modeling, and propensity modeling.
• Work with structured datasets to perform data preparation, feature engineering, and exploratory analysis.
• Assist in building, testing, and deploying models using Python and ML libraries (e.g., scikit‑learn, XGBoost, LightGBM, etc.).
• Contribute to the development of AI‑enabled tools, reusable scripts, and modeling accelerators to improve modeling efficiency and consistency.
• Collaborate with senior data scientists to translate business problems into analytical solutions.
• Support model performance monitoring, documentation, and basic explainability analysis.
• Partner with technology and engineering teams to ensure models can be operationalized and scaled.
• Hands‑on exposure to AI‑driven model development, automation, and analytical tool building.
• Opportunity to contribute to internal AI utilities, notebooks, APIs, or model frameworks that enhance productivity.
• Work in modern analytics environments using cloud platforms, notebooks, and version control (e.g., Git).

AI/ML Data Scientist

Recruitment

• Manage recruitment processes for data management positions
• Collaborate with hiring managers to understand staffing needs
• Screen and assess candidates
• Conduct interviews and coordinate with team

Recruitment Associate

• Design and own the front-end architecture of a React application
• Build moderately complex user interfaces from scratch in React following wireframes
• Containerize and deploy the API layer onto Google Cloud using GKE
• Primary focus will be on both back-end, front-end and API layer.

Full Stack Software Engineer

• Architect enterprise-grade agentic and LLM solutions (single-agent, multi-agent, tool-driven workflows)
• Define scalable GenAI system design patterns (RAG, orchestration layers, evaluation frameworks)
• Act as the technical anchor for GenAI initiatives across projects
• Drive design reviews, architecture governance, and best practices
• Design and build agentic systems using LLMs for use cases such as: Knowledge assistants, Document automation & intelligence, Workflow orchestration
• Implement advanced prompt engineering strategies, prompt orchestration, and reasoning chains
• Build tool-calling / function-calling frameworks for agent workflows
• Lead end-to-end implementation of RAG pipelines: Data ingestion → chunking → embeddings → vector indexing → retrieval → response generation
• Optimise retrieval quality (recall, relevance, grounding)
• Evaluate and benchmark different architectures
• Develop production-grade APIs/services (FastAPI, Flask, etc.)
• Drive code quality, testing standards, and reusable architecture components
• Ensure solutions are performance optimised (latency, cost, reliability)
• Implement LLM guardrails: Hallucination control, Safety filters, Policy enforcement
• Define evaluation frameworks: Response quality metrics, RAG benchmarking, Human-in-the-loop validation
• Partner with Data Engineering → pipelines, data quality, governance; MLOps → deployment, CI/CD, monitoring; Business/Product → use-case alignment
• Drive end-to-end delivery ownership across multiple projects
• Mentor and guide junior engineers and project teams
• Conduct technical reviews, solution walkthroughs, and code reviews
• Support pre-sales / RFPs / solution proposals with architecture inputs
• Drive reusable accelerators, frameworks, and COE assets
• Stay ahead of industry evolution and help shape EXL’s GenAI strategy
• Influence technology choice, design decisions, and roadmap planning.

Lead AI Data Engineer

Bookkeeper

• Perform general ledger accounting activities, including journal entries and account reconciliations for insurance industry
• 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