Sales

• Lead & oversee the end-to-end presales lifecycle for large-scale PI opportunities & complex proactive & reactive proposals.
• Anchor deal design & collaborate with cross-functional teams -delivery, account, sales, technology, operations, finance & leadership to develop customized solutions with compelling value propositions.
• Lead the development of competitive pricing strategies, commercial models, deal estimates, & engagement models that align with business objectives and maximize customer value.
• Provide thought leadership & drive solution storytelling, client presentations, demos and pursuit narratives that strengthen market positioning and improve win rates.
• Partner with account, delivery & sales teams to identify pain points, map organizational capabilities, and shape early-stage client conversations.
• Drive increased win rates, capture new logos, and expand wallet share within the existing client base.

Vice President, Sales Support – Payment Integrity

Production Engineer

• Responsible for end-to-end development (front-end and back-end)/unit testing and integration of applications.
• Develop scalable, flexible, and high-quality code that meets both functional and non-functional requirements.
• Develop, test, and maintain technical solutions within a highly secure and integrated enterprise environment.
• Address and resolve production support issues on a day-to-day basis, ensuring timely closure and minimal business impact.
• Collaborate effectively with cross-functional teams to ensure on-time delivery of features and enhancements.
• Analyze and translate business requirements to technical design with security and data protection settings.
• Collaborate/communicate with business users
• Contribute to solution design and provide recommendations to build scalable and efficient features and functionality.
• Share / spread knowledge with team members.
• Communicating with managers on product development status frequently

Data Analyst

• Perform actuarial analyses to support pricing, reserving, forecasting, and portfolio monitoring for P&C lines of business.
• Collaborate with data engineering teams to design and implement **data warehouse (DWH) solutions**, ensuring actuarial data is structured for advanced analytics.
• Develop and maintain **data models** to support actuarial processes and reporting.
• Conduct experience studies, trend analyses, and exposure analyses using modern data tools.
• Support rate filings, model documentation, and regulatory submissions.
• Build reports and dashboards that communicate actuarial insights to senior management, underwriting, and risk teams.
• Work closely with stakeholders to validate assumptions and ensure alignment with business strategies.
• Contribute to modernization efforts by migrating actuarial data from legacy systems to cloud-based platforms.
• Stay updated on emerging data technologies, regulatory changes, and best practices in actuarial analytics.

Business Data Analyst

AI Engineer

• Develop AI models and algorithms
• Collaborate with cross-functional teams to implement AI systems
• Conduct research to improve AI methodologies

Product Manager

• Own and drive the product vision, strategy and roadmap for EXL’s enterprise-grade AI platform
• Define and communicate the product vision, strategy and roadmap for the EXLerate.ai platform, aligning technical priorities with strategic business goals
• Build compelling, data-backed business cases and investment proposals to secure funding and resourcing for new platform capabilities and product teams
• Manage the platform as a portfolio – prioritising across competing initiatives using structured frameworks (e.g. RICE) to maximise customer value and ROI
• Engage executives, customers, sales and marketing to shape requirements, validate direction and drive adoption
• Use customer research and data analysis to identify high-impact opportunities and translate them into clear strategy and scalable solutions
• Partner with solution and sales teams on client pitches, demos and platform positioning
• Own and manage the product backlog, ensuring it reflects the strategic roadmap and technical priorities
• Define and refine user stories, epics, acceptance criteria and success metrics
• Facilitate sprint planning, backlog grooming and reviews
• Mentor and coach product team members

Vice President

• Design & execute the long-term growth and product lifecycle strategy for COB & subrogation/TPL program
• Transform the existing program workflows, capability, analytics models & frameworks into a scalable, tech-enabled, & operational market offering.
• Conduct comprehensive capability maturity assessments of the program to identify operational gaps, re-engineer value propositions, and expand scope impact.
• Identify market opportunities, emerging trends, strategic vendor partnerships, & internal innovation to improve capabilities.
• Lead the design, development, & continuous improvement of differentiation strategies across both program workflows in pre & post-pay model
• Partner seamlessly with cross functional teams - operations, product, analytics, technology, delivery and clinical teams to build scalable, high-yielding cost-containment solutions.
• Identify opportunities to improve program’s performance, capability, scope, operational efficiency, client value proposition & competitive positioning.
• Drive the "build vs. partner" roadmap for both programs. Identify, negotiate & partner specialized data vendors, technology providers, and strategic partners to accelerate capability building & solution delivery
• Assess strategic investment opportunities that strengthen capabilities and support long-term growth objectives
• Design and launch comprehensive GTM strategies for both programs, aligning closely with internal sales, operations, delivery, and marketing teams.
• Partner closely with sales & account team to build a robust opportunity pipeline & steer high-stakes proposal development, cross sell opportunities etc.
• Conduct continuous market analysis & competitive assessments to keep EXL’s program offerings ahead of evolving healthcare payer requirements and industry shifts.
• Serve as a primary, market-facing executive advisor to healthcare payer clients, driving strategic discussions, solution demos, and interactive workshops.

Vice President, Program Development – COB, Subro & TPL

Consultant

• Analyse complex datasets to uncover insights, trends, and patterns that support strategic and operational decision‑making.
• Design and build analytical logic, data models, and calculations to enable scalable analytics and business intelligence solutions.
• Collaborate closely with business stakeholders to understand requirements, translate them into analytical use cases, and deliver actionable insights.
• Validate data sources and outputs to ensure consistency, reliability, and alignment with business definitions and KPIs.
• Partner with engineering, data science, and BI teams to implement end‑to‑end analytics solutions.

Analytics Consultant

Account Manager

• Drive growth, strengthen executive client relationships, lead successful implementation and onboarding new engagements.
• Serve as the point of contact across the full client lifecycle from opportunity identification and consultative solution shaping through contract handoff, implementation readiness, onboarding, early-stage adoption, and account expansion.
• Translate client priorities into practical, executable solutions while ensuring strong client experience, governance, and measurable business value.

Vice President, Account Management – Provider, Healthcare

Business Intelligence Developer

• Develop, optimize, and maintain Looker BI solutions including LookML modeling, Looker dashboards and explores.
• Work with GCP, BigQuery, and other cloud-based data warehouses to handle large-scale data operations.
• Perform exploratory data analysis, design ETL processes, and automate data workflows.
• Tune and optimize Looker reports and queries to improve system performance and user experience.
• Implement and enforce data governance, security, and access control policies within Looker environments.
• Collaborate with client teams, manage projects end-to-end, and maintain strong client relationships.
• Provide thought leadership in analytics, generating insights that influence business decisions.
• Utilize SQL, BigQuery, and Python for data manipulation and analysis.
• Leverage version control systems such as Git for LookML development (preferred).
• Independently tackle complex data and BI challenges, demonstrating strong critical thinking and analytical skills.
• Communicate findings clearly and effectively to both technical and non-technical stakeholders.
• Lead the approach to problem-solving and deliver analytical solutions aligned with business objectives.

Analytics Consultant, Decision Analytics, Looker BI

Manager

• Design, build, and ship production-grade Generative and Agentic AI applications and services for internal and external users
• Develop high-quality backend services in Python, with strong software engineering rigor around testing, performance, and maintainability
• Champion reusability and abstraction in everything you build by designing and building modular, well-abstracted components and libraries
• Build multi-agent systems using frameworks such as LangChain, LangGraph, Claude Agent SDK and Google ADK
• Integrate with leading LLM and foundation model APIs, including Azure OpenAI, Google Vertex AI, and AWS Bedrock
• Design and implement Retrieval-Augmented Generation (RAG) pipelines, including document ingestion, chunking strategies, embeddings, vector search, and re-ranking
• Build clean, well-tested RESTful and/or gRPC APIs with a strong focus on reliability, security, and performance
• Implement observability, tracing, evaluation, guardrails for Generative and Agentic AI applications
• Deploy and operate services on major cloud providers (e.g., GCP, AWS, and Azure) leveraging managed services
• Contribute to platform architecture decisions and engineering best practices
• Take applications from prototype through production deployment, hardening, and ongoing operation
• Mentor and coach junior and mid-level engineers through code reviews, architecture discussions, and pair programming
• Foster a culture of engineering excellence, knowledge sharing, and continuous improvement
• Participate in technical design reviews and contribute to the professional growth of team members

Senior Manager

Executive

• Ensuring accurate accounting, reporting for fixed assets in compliance with relevant regulations and organizational policies.
• This role involves maintaining the fixed assets ledger, managing asset acquisitions, disposals, and transfers, and performing periodic reconciliations and audits.

Senior Executive, GL

Engineer

• Study and transform data science prototypes
• Working and deployment on Chatbot application including voice and text chat
• Working Knowledge of contact center applications
• Train and deploy Google text to speech and Speech to text model and run evaluation experiments
• Perform statistical analysis of results and refine models
• Remain updated in the rapidly changing field of machine learning

Cognitive Engineer

• Gathering payroll information from insureds or insured's representative
• Analyzing data received from insured
• Validating and confirming reasons of variances
• Creating the final premium audit report

Senior Executive

• Answering inquiries across multiple platforms related to information needed for the audit

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