Analyst

• Collect, clean, and analyse user and product data from multiple sources.
• Perform exploratory data analysis (EDA) to identify trends and user interaction patterns.
• Assist in building and evaluating basic machine learning and GenAI models (e.g., chatbots, text generation, recommendations).
• Support user research and translate insights into design solutions.
• Create wireframes, prototypes, and high-fidelity mock-ups
• Apply prompt engineering and generative AI tools (e.g., ChatGPT, DALL·E, Miro AI) to generate design variations, automate prototyping, and personalize user experiences
• Support UX/UI teams by translating data insights into design improvements.
• Conduct A/B testing and analyse results to optimize user experience and engagement.
• Help develop simple prototypes for AI-powered features.
• Create dashboards, reports, and visualizations for stakeholders.
• Ensure data quality, accuracy, and consistency in all analyses.

Backend Engineer

Python Developer

SDET

• Test Engineers will be responsible for the design, development, testing, maintenance, and support data assets including; Azure Data Lake and data warehouse development, modeling, package creation, SQL script creation, stored procedure development, integration services support among other responsibilities.
• Candidate have at least 3-5 years hands-on Azure experience as a Test Engineer, must be an expert in SQL and have extensive expertise building data pipelines. Candidate will be accountable for meeting deliverable commitments including schedule and quality compliance. This Candidate must have skills to plan and schedule own work activities, coordinate activities with other cross-functional team members to meet project goals.

Test Engineer

Artificial Intelligence

• Design and deploy intelligent automation and agentic AI solutions that save time, slash errors, and WOW stakeholders.
• Collaborate on AI strategies, ensuring our clients’ critical needs are met.
• Blend tech prowess with domain insights — think big, fail fast, innovate.
• Evangelize best practices in this thrilling fusion of AI and business.

Agentic AI, GEN AI

• Lead the end-to-end architecture, design, and technical direction for Generative AI solutions supporting business process automation in the Life & Annuities ecosystem.
• Define scalable, secure, and reusable architecture patterns for AI-enabled workflows across policy administration, underwriting, servicing, document processing, and partner integrations.
• Partner with business, operations, product, and engineering teams to identify high-value AI use cases and translate them into implementable technical solutions.
• Architect enterprise-grade AI solutions using modern patterns such as Retrieval-Augmented Generation (RAG), prompt orchestration, agent-based workflows, vector search, and human-in-the-loop controls.
• Design and oversee integrations between AI services and core insurance platforms, TPA systems, underwriting tools, CRM platforms, document repositories, APIs, messaging systems, and third-party data providers.
• Establish solution standards for security, privacy, auditability, explainability, observability, and compliance in regulated insurance environments.
• Evaluate and recommend appropriate cloud, data, and AI technology stacks, frameworks, and tooling aligned with enterprise architecture standards.
• Provide technical leadership to cross-functional delivery teams, including conducting architecture reviews, defining guardrails, mentoring engineers, and resolving complex design challenges.
• Drive non-functional architecture requirements including performance, scalability, resiliency, model monitoring, and operational support readiness.
• Collaborate with enterprise architecture, security, data, and governance teams to ensure AI solutions are aligned with organizational policies and long-term technology strategy.

Technical Architect – Generative AI, Life & Annuities Insurance

Manager

• Oversee day to day operations to ensure efficiency and effectiveness in all business functions, including staffing and inventory management.
• Lead, train and mentor staff members, ensuring high levels of engagements and productivity.
• Monitor and ensure excellent client service is always provided, addressing escalated client issues and resolving them in a timely manner.
• Maintaining comprehensive financial transaction records including daily over payments.
• Excellent multitasking and time management
• Analyzing the weekly and monthly reports, helping team on the clarifications.

Assistant Manager – Claims Audit

Data Engineer

• Design, build, and maintain scalable data platforms and services
• Implement data pipeline solutions in Python and cloud platforms like AWS
• Optimize data delivery and reduce cloud costs through automation
• Monitor Data Quality, Observability, Governance, and Lineage
• Collaborate with internal teams and client stakeholders
• Write unit/integration tests and document design/implementation

Lead Data Engineer

Executive Assistant

• Own end-to-end delivery of AI/GenAI programs across multiple accounts
• Drive timely, high-quality execution with clear business outcomes (revenue, cost, efficiency)
• Establish delivery governance, KPIs, and performance tracking
• Manage a portfolio of AI initiatives (GenAI, automation, advanced analytics)
• Lead program planning, risk management, and cross-functional alignment
• Ensure scalable delivery using Agile, MLOps, and LLMOps practices
• Act as a trusted advisor to senior client stakeholders
• Translate business problems into AI-led solutions and execution roadmaps
• Drive client satisfaction, retention, and growth
• Guide teams on LLM-based applications, RAG architectures, and agentic workflows
• Ensure solutions meet enterprise standards (scalability, security, governance)
• Promote use of reusable assets and accelerators
• Support AI solutioning for large deals and strategic bids
• Partner with sales to develop value propositions and proposals
• Identify expansion opportunities within accounts
• Build and lead high-performing AI teams (architects, data scientists, engineers)
• Mentor leaders and drive capability development in GenAI
• Foster a culture of ownership, innovation, and delivery excellence

Senior Assistant Vice President

Support Engineer

• Maintain web applications using .NET technologies.
• Work on both backend APIs and frontend components.
• Troubleshoot, debug, and resolve application bugs and production issues.
• Write and optimize SQL queries for data retrieval and updates.
• Collaborate with cross-functional teams to analyze requirements and deliver solutions.
• Maintain code quality through best practices and documentation.
• Perform debugging, and performance optimization.
• Support deployment and maintenance of applications in different environments.

Technical Support Engineer

Vice President

• Client Relationship Management: Establish and maintain relationships with assigned clients, addressing their day-to-day needs and resolving issues as they arise.
• Account Support: Assist with the execution of account plans, including managing schedules, coordinating with internal teams, and ensuring timely delivery of services or products.
• Reporting and Documentation: Track and report on account activity, including status updates, performance metrics, and client feedback.
• Sales and Upselling: Identify opportunities for upselling and cross selling additional services or products within the scope of the account.

Assistant Vice President

Senior Data Engineer

AI Engineer

• Design, develop, and deploy AI solutions leveraging LLMs (GPT, Claude, open-source models).
• Engineer and optimize prompts to improve accuracy and relevance across use cases.
• Collaborate with cross-functional teams and retail/CPG stakeholders to identify and deliver high-impact AI solutions.
• Monitor, fine-tune, and maintain models to ensure performance, scalability, and business alignment.
• Implement AI/ML-driven efficiencies in BI migration initiatives (e.g., MicroStrategy to Metabase).
• Ensure data governance, quality, and security throughout AI and migration processes.
• Stay current with advancements in the AI/LLM ecosystem to drive continuous innovation.

AI Engineer – Retail, CPG Domain

Procurement

• Partner with client Procurement, AP, Finance, and Legal to validate contract-to-PO and invoice compliance versus pricing, rebates/discounts, and SLA terms.
• Identify value leakage and overbilling patterns (rate/UOM errors, missed discounts, unauthorized changes, non-compliant billing, missed SLA credits).
• Mentor Managers and Analysts and build playbooks for compliance, recovery, and governance.
• Validate system-identified exceptions; recommend escalation paths and recovery actions.
• Quantify opportunities, track recoveries to closure, document root causes and corrective actions, monitor and report leakage trends
• Translate contract structures, pricing, and SLAs into clear, testable business rules; communicate findings to executive stakeholders.
• Aligning findings with governance, controls, and documentation standards in partnership with Finance and Legal.
• Help with the continuous improvement of EXL product.

Procurement Specialist – Manager

• Define, own, and evolve the AI product roadmap for healthcare claims solutions—spanning claims adjudication automation, claims adjustment, payment integrity, COB/subrogation, provider issue resolution, and FWA detection.
• Translate complex claims operational challenges into AI-first product strategies with clear business cases, ROI frameworks, and measurable KPIs (e.g., auto-adjudication rate, denial accuracy, overpayment recovery yield).
• Drive solutions from ideation → POC → MVP → production scale, using agile execution and business-centric prioritization.
• Maintain a competitive landscape matrix and continuously benchmark against market players (Optum/Change Healthcare, Cotiviti, Cognizant TriZetto, HealthEdge, Conduent, etc.) to inform differentiation strategy.
• Partner with sales, finance, and leadership to determine pricing, packaging, and go-to-market approach (managed services, SaaS, outcome-based/gainshare models).
• Drive the transition from traditional rules-engine claims processing to AI-augmented adjudication—automating claim edits, benefit configuration interpretation, provider contract parsing, and payment rule application.
• Apply deep knowledge of end-to-end claims operations—claim intake, edits, adjudication, pricing, payment, adjustment, appeals, grievances, provider disputes, and overpayment recovery—to identify high-impact AI use cases.
• Embed AI solutions into core claims platforms and systems (QNXT, Facets, Amisys, HealthRules Payer, CSC/DXC, etc.) through platform-agnostic integration and API-first design.

Senior Assistant Vice President – Healthcare Claims AI, Technical Product Leader

Auditor

• Conduct clinical reviews to verify the accuracy of skilled nursing facility billing.
• Apply CMS clinical guidelines and payer-provider contract terms and policies to a variety of claim scenarios to identify overpayments for claims paid under PDPM, RUG, and contracted per diem payment methodologies.
• Apply ICD-10 coding guidelines to validate diagnoses coded on Minimum Data Set assessment.
• Document accurate audit results in a clear, concise, and effective manner using applicable EXL tools, CMS guidelines, payer contractual terms and policies.
• Utilize proprietary workflow systems efficiently and accurately to make audit determinations, generate audit rationales and move claims through workflow process correctly.
• Meet or exceed EXL established program productivity and quality goals.
• Demonstrate knowledge of and compliance with changes and updates to clinical guidelines, reimbursement trends, and client processes and requirements.
• Comply with all EXL policies and procedures including HIPAA and other state and federal regulations.