Business Analyst

• Handle travel bookings and related services using any major GDS, such as Amadeus, Sabre, or Galileo
• Process refunds, fares, and pricing accurately according to company policies and airline guidelines
• Apply knowledge of fare rules, routing types, and ticketing procedures to customer requests
• Resolve customer queries through email with timely and professional communication
• Build and maintain positive customer relationships
• Maintain high accuracy and productivity standards, error-free work, and SLA adherence
• Participate in process improvement initiatives
• Adapt to new processes and changes in a dynamic work environment

Associate – Business Analyst

Consultant

• Establish relationships with client personnel and practice leads at appropriate levels
• Deliver quality services consistently
• Monitor progress and manage risk
• Keep key stakeholders informed about progress and expected outcomes
• Stay current on business and industry trends relevant to clients
• Demonstrate in-depth technical capabilities and professional knowledge
• Assimilate new knowledge and apply business acumen
• Remain current on developments in capabilities and industry knowledge
• Understand and communicate complex insurance operational issues
• Collaborate with the solution development team to map requirements accurately for development
• Develop quantitative and qualitative outputs in PowerPoint and Excel to support strategic recommendations
• Stay informed about economic and market developments and their impact on clients
• Apply analytical skills and industry research to diagnose business problems and collaboratively develop solutions that drive business outcomes
• Travel to various and unanticipated workplaces throughout the U.S. as needed; position is roving in nature

Manager

• Manage project tasks and project plans
• Write communications and decks
• Coordinate sub-team efforts and deliver outputs
• Facilitate and gather client feedback on problem structuring
• Manage the frequency of feedback loops with offshore resources
• Import raw data from client data warehouses and databases into statistical analysis software
• Process data through coding, compilation, calculation, tabulation, and verification
• Make recommendations to management through presentations
• Use visualization software, charts, tables, and other tools to highlight trends and recommendations
• Review and advise on team members’ data analysis, results, interim and final output files, and recommendations
• Use SAS, R, SQL, Hive, Teradata, Hadoop, Microsoft Office, Excel, and PowerPoint for data extraction, data understanding, variable reduction, big data processing, data analysis, model development, model stabilization, model validation, summarization, visualization, and presentation
• Position may work at various and unanticipated worksites throughout the United States

• Design, develop, and maintain ETL/ELT pipelines for ingesting and processing large datasets.
• Build and optimize data workflows using Python, SQL, and distributed data processing frameworks.
• Develop and manage data models, data warehouses, and data lakes.
• Implement data quality checks, validation frameworks, and monitoring solutions.
• Integrate data from multiple structured and semi-structured sources.
• Collaborate with analysts, data scientists, and business teams to understand data requirements.
• Optimize query performance and ensure scalability of data solutions.
• Support CI/CD deployment, testing, and production monitoring of data pipelines.
• Document data lineage, architecture, and technical processes.
• Follow data governance, security, and compliance standards.

Lead Assistant Manager

Pricing Analyst

• Lead project planning and execution
• Optimize project processes and resources
• Ensure project deliverables meet requirements
• Provide technical support
• Collaborate with stakeholders
• Support pricing and data analysis teams through anticipated changes to interchange rates
• Analyze complex, large card data sets
• Provide insights to inform the client’s interchange pricing strategy

Pricing Manager

• Support US Federal Tax accounting and reporting processes
• Support ASC 740 tax provision calculations
• Prepare and analyze book-to-tax adjustments
• Provide financial reporting support, including journal entries, footnotes, and reconciliations
• Perform quarterly and annual tax provision calculations under GAAP/STAT
• Support federal tax compliance and Return to Provision analysis
• Document processes and prepare SOPs
• Identify and drive process improvements and automation opportunities
• Collaborate effectively with onshore stakeholders
• Work in a deadline-driven environment, particularly during close

Data Scientist

• Develop and maintain advanced Python-based applications in the Generative AI domain
• Ensure high performance, reliability, and scalability of applications
• Implement and optimize Generative AI models, including GPT, LLAMA, Mistral, FLAN T5, and other AI technologies
• Create innovative solutions and knowledge graphs
• Develop advanced RAG pipelines with embeddings, indexing, chunking, reranking, prompts, and evaluation
• Collaborate with cross-functional teams to integrate AI functionalities into broader systems and applications
• Utilize AWS, Azure, and Databricks GPU machines and manage GPU memory for performance and efficiency
• Stay updated on Generative AI, Python development practices, and cloud services
• Assist delivery leads in delivering Generative AI solutions to clients on time
• Support client satisfaction and project success
• Collaborate on projects and work independently when required

Senior Data Scientist

• Lead data analysis projects and provide strategic insights
• Design complex data science and machine learning models
• Mentor junior data scientists and ensure analytical work quality
• Work closely with business leaders to understand needs and deliver actionable insights
• Develop and maintain advanced Python-based Generative AI applications with high performance, reliability, and scalability
• Implement and optimize Generative AI models including GPT, LLAMA, Mistral, and FLAN T5
• Develop advanced RAG pipelines with embeddings, indexing, chunking, reranking, prompts, and evaluation
• Collaborate with cross-functional teams to integrate AI functionality into broader systems and applications
• Use AWS, Azure, and Databricks GPU machines to manage GPU memory and maximize performance
• Stay current with Generative AI, Python development, and cloud service advancements
• Assist delivery leads in delivering Generative AI solutions to clients on time and ensuring client satisfaction and project success

Insurance

• Lead large-scale LifePRO®, TPA, digital platform, and AI-enabled transformation programs from solution planning through deployment, stabilization, and business adoption
• Provide technical leadership across architecture, engineering, integrations, data migration, testing, release, and deployment
• Partner with Product, Engineering, Data, and AI teams to embed automation, analytics, GenAI, and Agentic AI into implementation programs
• Serve as senior delivery leader for strategic client programs, managing stakeholder relationships, governance, risks, decisions, and business objective realization
• Build and lead teams across implementation, engineering, architecture, data, QA, and program management
• Drive innovation and operational excellence through modern engineering practices, reusable frameworks, emerging technologies, and delivery accelerators
• Lead complex integrations, data conversion and migration, platform modernization, and implementation readiness
• Define and own a consolidated solution and execution strategy across the LifePRO® and TPA ecosystem
• Align architecture, engineering, and delivery teams to one unified roadmap and execution plan
• Lead root-cause analysis and permanent remediation for recurring platform problems
• Establish proactive monitoring, defect-prevention, and escalation-management practices to reduce production issues and client escalations

VP Implementation – Transformation Lead – Insurance Platforms

Accounts Payable

• Accounts payable assistant manager role at EXL, a data analytics and digital operations company; detailed responsibilities are marked TBD

Accounts Payable, Assistant Manager

Product Manager

• Elicit requirements and map current and future-state processes
• Perform gap analysis and document functional specifications and acceptance criteria
• Create and maintain user stories, functional specifications, and acceptance criteria
• Write, refine, and manage user stories in the product backlog
• Collaborate with engineering and Scrum teams to plan sprints and prioritize backlogs
• Act as the voice of the customer within the Scrum team and participate in agile ceremonies
• Coordinate with QA and business users to validate features against acceptance criteria and business expectations
• Liaise between business stakeholders and engineering to translate complex business needs into technical requirements

Product Owner

AI Engineer

• Own end-to-end delivery accountability for concurrent AI & Data programs against scope, budget, and timeline
• Establish and drive program governance, including sprint cadences, steering committees, risk registers, change control, and delivery dashboards
• Lead technical delivery teams of data engineers, AI/ML engineers, cloud architects, and business analysts, typically 10–30 FTEs
• Identify and mitigate risks, dependencies, and blockers
• Manage scope, effort estimation, and resource allocation
• Provide technical oversight of data platform builds, including ingestion pipelines, transformation layers, semantic models, and analytics APIs
• Guide design and deployment of agentic AI solutions, including agent orchestration, tool integrations, prompt engineering governance, and guardrails
• Conduct architecture reviews, technical spike planning, and code/quality gates
• Champion CI/CD, data observability, lineage, and testing frameworks
• Drive data migration and modernization programs through schema mapping, ETL/ELT, cutover planning, reconciliation, and go-live
• Serve as the primary day-to-day client interface
• Conduct client steering reviews and translate delivery metrics into business-impact narratives
• Identify expansion opportunities through quality delivery

Delivery Lead – AI, Data

Executive

• Perform billing and query handling
• Contact onshore stakeholders via email and MS Teams on a day-to-day basis
• Act as the internal Voice of the Customer, representing customer needs and wants
• Impart process training to all new joiners
• Provide and accept timely feedback on process training and ensure corrective action
• Clear the assist queue daily and provide feedback to team members
• Mentor the team
• Acquire new process knowledge and operate as a domain knowledge expert
• Maintain the exceptional cases database and process updates
• Substitute for the Assistant Manager during their absence on the floor
• Contribute to processing as needed and ensure targets in accordance with the SOW are met
• Work on process improvements and share best practices across the team
• Ensure adherence to company policies and procedures

Senior Executive – Order to Cash, Billing & Support

• Develop for client needs as a full stack developer
• Apply proficient full stack development expertise

• Manage web development projects
• Ensure adherence to web development policies and procedures
• Provide strategic guidance on web development
• Lead a team of web developers