Collections

• Serve as the main client contact, engaging with senior stakeholders.
• Design and optimize collections strategies across channels and segments.
• Track key metrics (RPC, recovery rates, roll rates) and recommend improvements.
• Oversee policy changes, test new approaches, and monitor market trends.
• Partner with operations and vendors to execute strategy and drive results.
• Lead analytical projects and coordinate with offshore teams for delivery

Collections Strategy Manager

Call Center Representative

• Handle inbound and outbound calls with professionalism, care, and attention to detail.
• Update policy information and ensure accuracy in our systems.
• Stay up-to-date on products, processes, and regulations to provide the best service possible.
• Use active listening skills to understand customer needs, clarify questions, research solutions, and provide clear answers and alternatives.
• Build strong relationships with customers by going the extra mile to support them.
• Document every interaction so we can continuously improve.
• Work collaboratively with your teammates to meet individual and team goals.
• Share your ideas to improve processes — we want your input!

Growth Marketing

• Drive business growth for EXL’s Payment Integrity Healthcare strategic growth unit
• Lead sales enablement, strategic deal orchestration, account expansion & GTM strategy
• Own end-to-end solution strategy for complex, enterprise-level healthcare pursuits
• Partner closely with sales, senior leadership and offshore teams to accelerate growth
• Strengthen market positioning and expand EXL’s market share in Payment Integrity

Assistant Vice President, Healthcare Growth Strategy

Artificial Intelligence

• Lead and oversee large-scale Generative AI projects from conception to deployment
• Develop and implement AI strategies aligned with business objectives
• Collaborate with cross-functional teams including technology, data science, and business units
• Design and architect scalable Generative AI solutions
• Mentor and guide teams in best practices for AI development and deployment
• Ensure adherence to software engineering principles and Agile methodologies
• Stay abreast of emerging trends and technologies in Generative AI

Assistant Vice President – Artificial Intelligence Architect

Backend Engineer

• Build and maintain backend services using Python (FastAPI, Django) or Node.js
• Develop robust RESTful APIs and integrate with internal/external systems
• Improve performance, reliability, and scalability of backend services
• Build intuitive, responsive UIs using React or similar frameworks
• Work closely with design and product teams to bring user experiences to life
• Write efficient SQL queries and manage relational databases
• Support schema design, data modeling, and performance tuning
• Deploy and manage applications in cloud environments (AWS, Azure, or GCP)
• Build and maintain CI/CD pipelines (Jenkins, GitHub Actions, etc.)
• Use Atlassian tools (Jira, Bitbucket, Confluence) for workflow and documentation
• Participate in code reviews, sprint planning, and architecture discussions
• Work cross‑functionally with product, design, and QA
• Troubleshoot production issues and contribute to continuous improvement

Full Stack Software Engineering Manager, Python, Cloud, React

Auditor

• Complete audits for Property & Casualty insurance policies (Workers’ Compensation and General Liability).
• Work directly with policyholders or their contacts via phone to obtain payroll and accounting records.
• Accurately evaluate and apply correct classifications and exposure amounts.
• Manage assignments provided through our web-based production system.
• Ensure accuracy, compliance, and customer satisfaction in all audit work.

Phone Auditor

Product Manager

• Translate credit‑card business goals into clear product roadmaps and multi‑release plans.**• Define epics, user stories, and acceptance criteria aligned to business needs and backend data realities.**• Prioritize features based on technical feasibility, and business impact.**• Act as the primary liaison across engineering, data, API, and platform teams to ensure alignment.**• Lead decisions on data mapping, canonical models, payload structures, and new service design.**• Partner with QA to ensure robust backend + UI test coverage.**• Drive timely delivery across squads and proactively remove dependencies.**• Track KPIs, monitor performance, and validate releases in production.**• Communicate clearly with cross‑functional stakeholders to maintain alignment.

Senior Product Owner

• Translate credit‑card business goals into clear product roadmaps and multi‑release plans.
• Define epics, user stories, and acceptance criteria aligned to business needs and backend data realities.
• Prioritize features based on technical feasibility, and business impact.
• Act as the primary liaison across engineering, data, API, and platform teams to ensure alignment.
• Lead decisions on data mapping, canonical models, payload structures, and new service design.
• Partner with QA to ensure robust backend + UI test coverage.
• Drive timely delivery across squads and proactively remove dependencies.
• Track KPIs, monitor performance, and validate releases in production.
• Communicate clearly with cross‑functional stakeholders to maintain alignment.

Product Owner – Credit Card

Software Engineer

• Drive end-to-end implementation of Genesys Cloud CX solutions to deliver seamless omnichannel customer experiences across voice and digital channels.
• Design and build IVR, ACD, and Architect flows, routing strategies, queues, and outbound campaigns aligned with business requirements. Lead design discussions with clients and oversee the build team to ensure on-time delivery.
• Design and configure Quality Management (QM) capabilities, including call recording, screen recording, evaluation forms, calibration workflows, and compliance-driven recording policies.
• Implement Workforce Management (WFM) solutions, including forecasting, scheduling, intraday management, adherence monitoring, and integration with agent schedules and queues.
• Configure agent scripting and guided workflows within Genesys Cloud to support consistent customer handling, compliance, and agent productivity.
• Hands-on experience with bot integrations such as Genesys Dialog Engine, Google Dialogflow, including intent handling, understanding of NLU concepts, sentiment analysis, and bot-to-agent handoff.
• Configure, manage, and troubleshoot telephony components such as SIP trunks, inbound and outbound routing, sites, dial plans, number configurations, and SBC connectivity.
• Integrate Genesys Cloud with CRM systems (such as Salesforce, Dynamics, or custom CRMs), ticketing tools, and third-party platforms using native connectors, REST APIs, and event-driven integrations.
• Design and implement data flows from Genesys Cloud into data warehouses such as Snowflake for advanced reporting, analytics, and downstream consumption.
• Collaborate with Architects, Project Managers, and cross-functional stakeholders to deliver projects within agreed scope, timelines, and budget.
• Provide post-go-live support, including incident resolution, performance tuning, and continuous improvement of call flows, digital journeys, and workforce configurations.

Cognitive Developer

Data Scientist

• Design and develop data models and analytical solutions.
• Optimize data analysis processes and methodologies.
• Ensure data solutions meet business and technical requirements.
• Provide technical support for data science projects.
• Collaborate with stakeholders to address data science needs.
• Develop and maintain advanced Python-based applications in the Generative AI domain, ensuring high performance, reliability, and scalability.
• Implement and optimize Generative AI models, including GPT, LLAMA, Mistral, FLAN T5 and other cutting-edge AI technologies, to create innovative solutions and knowledge graph.
• Development of advanced RAG pipelines with proper embeddings, indexing, chunking, reranking, prompts and evaluation
• Collaborate with cross-functional teams to integrate AI functionalities into broader systems and applications.
• Utilize AWS/Azure/Databricks GPU machines to manage GPU memory effectively, maximizing performance and efficiency.
• Stay updated on the latest advancements in Generative AI, Python development practices, and cloud services to continually enhance our AI capabilities.
• Assist delivery leads in delivering Generative AI solutions to clients in a timely manner, ensuring client satisfaction and project success.

Data Engineer

• Design, develop, and maintain robust data pipelines and ETL processes.
• Work with large-scale datasets using modern data warehousing solutions like Snowflake.
• Develop and optimize SQL queries for data transformation and analysis.
• Implement and manage data solutions on AWS cloud platform.
• Collaborate with cross-functional teams to understand data requirements and deliver solutions.
• Ensure data quality, integrity, and security across systems.
• Monitor and troubleshoot data pipeline performance issues.

Project Manager

• Design and implement product strategies
• Optimize product performance and market fit
• Ensure product meets customer requirements
• Provide product management support
• Collaborate with stakeholders.

Business Analyst

• Conversation flow design
• Content creation
• Usability testing

Platform Engineer

Power Platform Developer

• Lead project planning and execution
• Optimize project processes and resources
• Ensure project deliverables meet requirements
• Provide technical support
• Collaborate with stakeholders.